Podcasts about automate

Engineering the AI-Driven Sales Architecture: Streamlining Workflows, Enhancing Bio-Data Scoring, and Maintaining Human Integrity with Tom GersicIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Tom Gersic, Founder and CEO of YouEx AI, to explore the rapidly shifting integration of artificial intelligence within corporate sales pipelines and inbound lead qualification engines. Tom, a veteran technology architect and automated workflow strategist, details how B2B companies, agency founders, and enterprise sales leaders can break free from fragmented software stacks and inefficient manual data entry. This conversation delivers an actionable operational guide for sales executives looking to deploy deeply embedded AI web agents, automate multi-source prospect research, score buying intent in real time, and maintain transparent human oversight to accelerate deal velocity.The Integrated AI Sales Engine: Eliminating Operational Debt and Escalating Pipeline VelocityThe primary operational drag impeding modern sales organizations is not a lack of artificial intelligence tools, but rather the severe friction caused by fragmented tech stacks. Tom Gersic explains that sales representatives routinely waste valuable selling hours manually shuffling prospect data between single-point tools, spreadsheets, LinkedIn accounts, and CRMs, acting as manual labor for the software rather than leveraging it for deal acceleration. To overcome this inefficiency, revenue leaders must shift from surface-level automation to deep, workflow-level AI integration. Embedding intelligent web agents directly into digital properties allows companies to capture detailed behavioral data across multiple prospect visits, automatically log interaction histories inside a centralized CRM, and route qualified opportunities to specialized reps without administrative delays.Maintaining buyer trust while leveraging automated outreach requires a disciplined commitment to keeping humans in the loop at every critical conversion milestone. A major risk in corporate AI adoption is the temptation to deploy fully automated, unvetted messaging agents that impersonate human reps or issue generic, robotic outreach. Strategic revenue leaders avoid over-automation by utilizing AI strictly as an intelligent co-pilot—letting automated systems handle background research, lead scoring, and preliminary draft creation while reserving final message editing, context validation, and relationship building for real sales professionals. Clear disclosure of automated interactions combined with seamless human handoffs ensures that prospective clients experience immediate value without compromising corporate authenticity or regulatory compliance.Furthermore, maximizing lifetime customer value demands extending AI search capabilities into multimedia brand assets, turning static content archives into interactive sales enablement tools. For enterprise leaders, agency founders, and media producers, deploying conversational search agents across large video or podcast libraries allows prospective clients to instantly search back catalogs by specific operational topics, technical frameworks, or guest names. Coupling intelligent media indexing with automated lead-scoring engines ensures that high-intent prospects are identified and engaged while their buying interest is at its peak. When deeply integrated web agents, automated prospect research, human-in-the-loop governance, and conversational media architectures are synthesized into a single sales ecosystem, organizations eliminate administrative friction, protect brand credibility, and predictably multiply enterprise valuation.About Tom GersicTom Gersic is the Founder and CEO of YouEx AI, a veteran software architect, and an expert in sales process automation. Drawing from extensive technical experience building integrated digital platforms and workflow engines, Tom specializes in helping B2B enterprises and sales organizations eliminate administrative complexity. He is a prominent thought leader focused on helping revenue teams deploy ethical, deeply integrated AI systems that automate lead research, streamline CRM data management, and empower sales reps to focus on high-value client relationships.About YouEx AIYouEx AI is an elite sales automation technology platform engineered to help businesses streamline inbound lead capture, prospect research, and CRM data integration. The company specializes in delivering custom conversational web agents, multi-source behavioral tracking tools, intelligent lead scoring engines, and automated sales routing playbooks. Through transparent AI architectures and seamless human-in-the-loop workflows, YouEx AI enables sales teams to eliminate manual software friction, identify high-intent buyer opportunities, and maximize revenue velocity.Links Mentioned in This EpisodeYouEx AI Official Website: youex.aiTom Gersic on LinkedIn: linkedin.com/in/tomgersicKey Episode HighlightsResolving the Fragmented Tool Dilemma: Eliminating manual data copy-pasting by integrating AI directly into core sales workflows and centralized CRM platforms.The Human-in-the-Loop Governance Model: Utilizing AI as an intelligent assistant for drafting and research while requiring human oversight to preserve authentic communication.Automated Lead Research and Intent Scoring: Leveraging AI to scan public web data, identify buying authority, and score leads in real time before rep assignment.Interactive Conversational Web Agents: Transforming static website landing pages into dynamic, multi-visit tracking hubs that capture real-time prospect intent.Conversational Search for Media Repositories: Indexing podcast libraries and multimedia assets with AI agents to allow prospective clients to instantly search back catalogs.ConclusionThe conversation with Tom Gersic reinforces that achieving sustainable sales acceleration requires an intentional balance of advanced workflow automation and authentic human relationship building. By standardizing internal data governance, eliminating manual administrative friction, and maintaining strict transparency in AI-driven communications, business leaders can transform an underperforming sales process into a highly structured, self-sustaining revenue engine.More from The Thoughtful Entrepreneur

Send us Fan MailMost travel platforms are brilliant at one thing: getting you to click “confirm.” Then the real trip starts, something goes wrong, and you're suddenly on your own. We sit down with Vipul Doshi, a travel tech entrepreneur and co-founder of Zenvoya, to unpack why the industry optimises the booking transaction while neglecting the relationship that matters most: the full traveler journey from planning and discovery to on-trip support and disruption recovery.We dig into what changes when generative AI is treated as a personal travel assistant instead of a cost-cutting automation layer. Vipul explains why information and inventory are no longer true differentiators, and why context, intent, and judgment are becoming the new competitive edge. If an AI remembers your preferences, constraints, and past choices, it can do the hard work for you and keep improving over time, turning “personalisation” into something real rather than a template email with your name.We also explore the convergence of marketing and customer service as AI starts to deliver more of the product experience. A brand promise that sounds warm but feels cold in support destroys trust fast. That's why values, tone, and accountability must carry through the AI layer, and why modern teams should shift metrics away from average handling time toward repeat engagement, repurchase behaviour, and customer lifetime value. If you care about AI in travel, customer experience, travel loyalty, and the future of distribution, this conversation gives you a clear framework to build with.This episode was recorded through a Descript call on September 10, 2026.Read the blog article and show notes here: https://webdrie.net/travel-ai-can-automate-can-it-build-relationshipsSubscribe for more Web3 CMO Stories, share this with a frequent traveler or product leader, and leave a review to help more listeners find the show...........................................................................Metricool is a new official podcast partner of Web3 CMO Stories in 2026. Metricool helps marketers and creators bring structure, clarity, and consistency to their social media workflows through analytics, planning, and reporting. Listeners can try Metricool Premium for free for 30 days using the coupon code JOERI.......................................................................... 

Send us Fan MailIf you could make ONE problem in your life disappear tomorrow, would it be money? In this episode, we dive into a surprising truth: no amount of money will automatically make you stop worrying about money. Whether you're living paycheck to paycheck or sitting on millions, financial anxiety is often driven by mindset rather than math.We break down the false promise of worry, share personal stories around canceled contracts and family health concerns, and explore the unique financial pressures facing physicians today. Plus, we cover three practical strategies to move from passive anxiety to proactive financial freedom—including how your primary asset shifts as your net worth grows.Key Takeaways:Worry is Not Preparation: Worrying doesn't solve future problems; it just trades away your present peace.The Income Paradox: High earners and physicians often fall into "lifestyle lock-in," building high fixed costs that turn minor income dips into major stress.The Wealth Transition: Early in your career, your ability to practice medicine is your greatest asset. Over time, as your portfolio grows, your financial capital takes over—making clinical work a choice, not a necessity.3 Steps to Financial Control:Protect your flexibility by keeping fixed monthly overhead low.Protect your income early on with disability insurance and emergency reserves.Automate peace of mind through reverse budgeting.Please subscribe and leave a review on your favorite Podcasting platform. Get 12 Financial Mistakes that Keep Physicians from Building Wealth at https://www.growyourwealthymindset.com/12financialmistakesIf you want to start your path to financial freedom, start with the Financial Freedom Workbook. Download your free copy today at https://www.GrowYourWealthyMindset.com/fiworkbookDr. Elisa Chiang is  a physician and money coach who helps other doctors reach their financial goals by mastering their money mindset through personalized 1:1 coaching .You can learn more about Elisa at her website or follow her on social media.Website: https://ww.GrowYourWealthyMindset.comInstagram https://www.instagram.com/GrowYourWealthyMindsetFacebook https://www.facebook.com/ElisaChianghttps://www.facebook.com/GrowYourWealthyMindsetYouTube: https://www.youtube.com/c/WealthyMindsetMDLinked In: www.linkedin.com/in/ElisaChiang Disclaimer: The content provided in the Grow Your Wealthy Mindset Podcast...

The Institute of Internal Auditors Presents: All Things Internal Audit In this episode, Alex Rusate talks with Ivan Diaz and Mohamed Maiga, two Utah Valley University students whose curiosity led them to build practical AI tools. They explain how AI agents go beyond chatbots to automate repetitive audit work, why understanding the intended output is essential for validating AI-generated results, and how organizations can begin adopting AI without sacrificing security or human judgment. HOST: Alex Rusate, CIA, CISA, CPA, AAIA, CERP, CRMA, CCSA Senior Vice President and Director of Internal Audit, Arrow Financial GUESTS: Ivan Diaz Accounting Student, Utah Valley University Mohamed Maiga Cybersecurity Graduate, Utah Valley University KEY POINTS: Introduction: Students Teaching Auditors About AI Agents [00:00:00–00:00:35] Ivan's Introduction to the Internal Audit Conference [00:00:36–00:01:33] Finding an Audit Process to Automate [00:01:34–00:02:44] Building an AI Agent Without Technical Experience [00:02:45–00:04:13] Improving Results Through Iteration and Multiple AI Tools [00:04:14–00:05:47] The Difference Between Chatbots and AI Agents [00:05:48–00:07:05] Troubleshooting an Agent and Selecting the Right Model [00:07:06–00:08:20] Validating AI-Generated Audit Work [00:08:21–00:10:24] Designing Effective Instructions and Identifying Red Flags [00:10:25–00:11:43] Protecting Confidential Information When Using AI [00:11:44–00:13:12] Using Feedback to Strengthen an AI Agent [00:13:13–00:14:54] Mohamed's Introduction to AI Agents [00:14:55–00:16:38] Using an AI Agent to Navigate Purchasing Policies [00:16:39–00:18:26] Automating Repetitive Work While Preserving Human Judgment [00:18:27–00:19:16] Building an AI Agent for Cybersecurity Exam Preparation [00:19:17–00:20:43] Reducing Hallucination Risk Through Sources and Validation [00:20:44–00:22:26] Advice for Internal Audit Leaders Adopting AI [00:22:27–00:24:24] Starting Small and Applying AI with Purpose [00:24:25–00:25:17] Closing [00:25:18–00:25:29] IIA RELATED CONTENT:  Interested in this topic? Visit the links below for more resources: The NextGen Audit Mentor — Internal Auditor magazine (August Issue) IIA Membership Global Internal Audit Standards Artificial Intelligence Auditing Framework Knowledge Center: Artificial Intelligence   Visit The IIA's website or YouTube channel for related topics and more. Follow All Things Internal Audit: Apple Podcasts Spotify Libsyn Deezer

With their hands full grooming dogs and their phones ringing nonstop, the new owners of an established dog-grooming business turn to HighLevel and Dr. Phil for help attracting new customers and keeping their growing business on track.Learn how to build a business that serves your life, not one that consumes it.Sponsored by HighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Visit: https://DrPhil.com/Business and get your life back on track.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today's guests will join the Restaurant Unstoppable Network for a live Q+A on September 28th, 2026 at 11AM EST. To join us and engage with all our guests and events, go to joinrunlive.com to get access to today's guest specifically OR join the newly relaunched Restaurant Unstoppable Network! Danny Azzarello and Alan Frati are the co-founders of CRACK'D Kitchen and Coffee. Both guests grew up in restaurants and learned the fundamentals from working in profitable and system-heavy chains. They met while working together and decided to open CRACK'D in 2019. Today there are 5 locations, along with retail and secondary concepts. If you want to learn more about Hermetic AI and you want to support this podcast, please email Eric (eric@restaurantunstoppable.com) and he will personally introduce you to their team. Restaurant Unstoppable will receive a finder's fee if you simply book a demo. It really helps the show! Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: - Hermetic.ai  - Private event leads die in inboxes every day. Mia fixes that. She's an AI agent that responds within seconds, handles the back-and-forth, and fills your event calendar — automatically. Fully integrated in under 10 minutes. Head to hermetic.ai and put her to work. https://www.hermetic.ai/ - Hotshift - Hotshift is the all-in-one tool built by a restaurant owner, for restaurant owners. Scheduling, hiring, training, reviews — one roof, one login. Plusreal-time labor cost forecasting before the shift ever starts. Head to hotshift.pro/unstoppable. - Restaurant Technologies — the leader in automated cooking oil management. Their Total Oil Management solution is an end-to-end closed loop automated system that delivers, monitors, filters, collects, and recycles your cooking oil eliminating one of the dirtiest jobs in the kitchen.. Automate your oil and elevate your kitchen by visiting rti-inc.com or call 888-779-5314 to get started! - US Foods®. Running a restaurant takes MORE than great food—it takes reliable deliveries, quality products, and smart tools. US Foods® helps you make it. Ready to level up? Visit: usfoods.com/expectmore. - Today's guest recommends: US Foods Neon JTECH Guest contact info:  Danny's email: dazzarello@crackdkitchen.com Alan's email: alanf@crackdkitchen.com Thanks for listening! Rate the podcast, subscribe, and share! 

Dean Guedo is an Edmonton, Alberta-based online nutrition coach and strength/nutrition professional with roughly a decade in fitness, athletics and strength sports, and Jeb Stuart Johnston is a National Board Certified Health & Wellness Coach and the Charleston, SC-based founder of Food on the Mind, specializing in emotional eating and food obsession.Dean and Jeb join Dr. Mike T Nelson for their yearly AI check-in, getting into whether creators should disclose AI use and why deepfaked video is a very different beast than AI-assisted writing. The conversation ranges into dead internet theory, why so much hard-won fitness expertise never made it onto the internet at all, and why demanding physical skills may become more valuable, not less, as AI accelerates.Expect to learn whether creators should disclose their AI use and why deepfaked video is a fundamentally different risk category than AI-assisted writing, why LLM writing may have already "peaked" and regresses toward the average, why fitness's hard-won oral tradition (Charlie Francis, Louie Simmons, old forums) never made it onto the internet at all, why oral defense of your own thinking may be the most AI-proof skill you can build, and why demanding physical skills could become more valuable — not less — as AI accelerates, and much more.Connect with Dean:Instagram: @walk.more.kingWebsite: getfluxed.caConnect with Jeb:Website: foodonthemind.comInstagram: @jebstuartjohnstonNewsletter: Tangential, Inconsequential, Existential and Experiential (Substack)Episodes you'll enjoy next:Episode 136 — Flex Diet, Phys Flex, Metabolism and Nutrition Research for Compound Performance (Jeb and Dean interview Dr. Mike T Nelson): Listen hereS2 Ep 28 — High Flux Model and More for Fat Loss and Client Coaching, an interview with Dean Guedo and Jeb Johnston of StrongerU: Listen hereEpisode Timestamps:01:35 Welcome to the podcast & guest introductions03:15 Should you disclose your AI use?06:32 Deepfake video vs. AI-assisted writing: a different risk category07:53 AI's exponential growth and the "singularity" question11:11 What is "AI slop," and does it actually matter?12:42 Why LLMs regress toward average (and the Reddit problem)15:15 Falsely accused of "AI slop" for your own writing style21:36 "Automate your business with AI" — the wrong things to automate25:23 Dead internet theory: has AI writing already peaked?26:34 Why AI can't reason about truly novel, hypothetical situations28:37 Hemingway's unfinished-thought trick and "open-loop" thinking with AI35:06 Why weird, opinionated writing might be AI-proof44:49 Fitness's lost oral tradition: Charlie Francis, Louie Simmons, old forums47:03 Stoner, the trivium, and teaching without teaching48:06 Oral defense as the AI-proof assessment56:08 Research vs. coaching: the application gap (Norwegian 4x4, tabata)1:07:26 Will AI push us back toward hard physical skills?1:15:00 Where to find Jeb & Dean Get the Daily Fitness Insider newsletter (free): https://www.miketnelson.com/newsletter

Send us Fan MailWe catch up with Brittany Trefort in Perth and get honest about what is actually changing property management right now: capacity, tech, and the way we design work. We unpack offshoring and work-from-home without the guilt, then get practical on PropertyMe task automation and everyday AI that saves hours without killing service. • paperless workflows versus old school habits and why both still exist • offshoring and outsourcing as a business model choice rather than a moral failing • keeping owner communication with the property manager while delegating repeatable admin • work-from-home pros and cons including neurodivergent capacity and culture gaps • clear sick leave boundaries when work is diverted to the team • triennial licensing as career development plus updating compliance and risk systems • new build management timelines including PCI support and builder warranty tracking • defects captured through routine inspections and automated prep before the 12-month defect inspection • automating lawns and gardens support with staged check-ins after move-in • head of department ownership of automation with feedback loops from the team • AI tools like Claude and ChatGPT for drafts, spreadsheets, and utility splits • how solo PMs can start with templates, checklists, and community groups for support • using automation to let juniors and admins deliver consistent, confident service This podcast is kindly sponsored by The Associates Co. The Associates Co provides fully trained professionals to assist you with scaling your property management department. They are ready to hit the ground running! Once a luxury, VA's are now a staple in every business, whether you are managing 5 properties or 500+Head over to www.theassociatesco.com This podcast is sponsored by Property Insurance Plus.The PIP Advantage for Landlord InsuranceUp to $70,000 contents cover included in our landlords policies14 months cover for just 12 months premium  in your first yearFurther discounts when you have three or more properties insured through PIP24/7 Australia-wide claims serviceOnline Real Estate Agent Portal for easy access and management

What if running your whole Amazon sourcing process came down to one thing: just log in?   In this episode of Silent Sales Machine Radio, Jimmy Smith sits down with Khang Dang, the creator of 3P Mercury, to walk through a wave of new updates and where the tool is headed next. Khang breaks sourcing into four parts (finding listings, finding the sources for them, analyzing them, and tracking them) and shows how 3P Mercury is now automating each step so you spend less time clicking and more time deciding what to buy.   You'll hear about the new Lead Finder and the Auto Source feature, how the AI goes out and looks across the open web to match listings to real suppliers, how the MERC scoring system pre-analyzes leads before you ever look at them, and why Khang thinks the biggest challenge for sellers could soon be simply having enough capital to act on everything the tool surfaces. They also tackle a fair question every seller asks: if everyone runs the same filters, does that tank prices? Khang explains why he isn't worried, and what still separates the best sellers even in an AI-driven world.   Whether you sell retail arbitrage, online arbitrage, or wholesale, this conversation is a clear look at where sourcing is going.   Special guest at the conclusion of today's show, Jeff Schick of JeffSchick.com answers the question: "What are the realities of Amazon suspensions and reinstatements?"   Watch this episode on our YouTube channel here: https://youtu.be/kwodDEG77I0   Show note LINKS:   Want to try 3P Mercury? There's a $1 30-day trial at Silentjim.com/thirty   Need 1-on-1 or group training coaching help? Head over to Silentjim.com/coaching   ProvenAmazonCourse.com -  Get all our great training modules for $39/month   SilentJim.com/kickstart  - If you want a shortcut to learning all you need to get started, then get the Proven Amazon Course and go through Kickstart.   SilentSalesMachine.com - Text the word "free" to 507-800-0090 to get a free copy of Jim's latest book in audio about building multiple income streams online (US only) or visit SilentJim.com/free11   SilentJim.com/bookacall - Schedule a FREE, customized and insightful consultation with my team or me (Jim) to discuss your e-commerce goals and options.   My Silent Team Facebook group. 100% FREE! Facebook.com/groups/mysilentteam - Join 84,000 + Facebook members from around the world who are using the internet creatively every day to launch and grow multiple income streams through our exciting PROVEN strategies! There's no support community like this one anywhere else  

The episode reveals a structural shift toward eligibility thresholds and silent disqualification in the managed services sector, driven primarily by large vendors and regulatory buyers. Companies now establish non-negotiable numerical thresholds—such as cloud revenue minimums or cryptography certifications—as criteria that MSPs must meet to maintain channel access or bid eligibility. Key organizations shaping these dynamics include Microsoft, which has reduced its global distributor base by two-thirds, and regulatory buyers who increasingly rely on FIPS 140-3 cryptography validation as a procurement gate.The most consequential development discussed is Microsoft's reduction of its distributor partners from approximately 180 to roughly 60, based on a $30 million annual cloud solution provider revenue threshold per region, or $1 million for direct bill partners, according to Scott Frew of iAsset. Concurrently, regulated buyers are disqualifying MSPs whose tools lack FIPS 140-3 validated cryptography, a certification that requires third-party verification and is referenced by procurement officials as a hard requirement. The Managed Services Journal and vendor press releases provide evidence that this filtering mechanism now operates prior to any sales engagement, largely outside the control or even awareness of affected MSPs.Supporting developments reinforce this threshold-driven landscape. CompareIT in the UK has launched an AI-driven platform to assess over 8,000 MSPs on up to 197 criteria, allowing buyers to shortlist providers before direct interactions. Vendors are responding by integrating compliance features (such as Datto RMM adding FIPS 140-3 support) without extra cost, turning compliance into a baseline rather than a differentiator. Third-party products and partnerships are emerging—like RYTHMz' SCOUTz or the Senteon and SPECTRA alliance—to supply objective evidence of eligibility, making attestation a commodity and part of a burgeoning industry.For MSPs and IT leaders, the operational implication is a shift from sales-driven competition to eligibility-driven access. Risks arise from losing channel relationships, not keeping up with compliance requirements, or being silently excluded from consideration in regulated deals. Ensuring a clear owner for validation data, maintaining up-to-date records of distributor status, and proactively verifying the business's public profile now represent concrete governance requirements. Eligibility is becoming a precondition for market participation—those who manage it systematically maintain market access while others are removed without notification.00:00 Three Thresholds, Three Weeks 03:42 Cheaper Than A Conversation06:06 You'll Never Get The No09:12 Why Do We Care?Supported by:WebPros(CometBackup)HaloPSA

OpenAI has introduced ChatGPT for Financial Services, a specialized platform powered by the GPT-6 Astra model and developed alongside major institutions like Morgan Stanley. This new tool integrates high-quality data from sources such as S&P Global and PitchBook to automate complex tasks traditionally performed by junior Wall Street bankers. Users can now generate financial models, research notes, and pitchbooks that automatically format to a firm's specific style within Excel and PowerPoint. While industry experts highlight the significant efficiency gains and the shift toward AI-driven decision infrastructure, others raise concerns regarding the future of the traditional apprenticeship model in banking. Ultimately, the release signals a strategic move by OpenAI to transition from a general-purpose tool to deeply integrated, industry-specific solutions.

What does it actually take to buy and grow a roofing company?Nicholas Riley left Deloitte to buy Driftwood Builders Roofing, a 20-year-old roofing company in Austin, Texas. After reviewing roughly 2,000 businesses, he finally made his first home service acquisition.In this episode, John Wilson and Nicholas break down the economics of the roofing business, including $20,000 average roof replacements, cash vs. insurance margins, roofing marketing, direct mail, referral partnerships, and competing in a market with more than 1,000 roofing companies.They also cover Nicholas' biggest mistakes during his first year as an operator, what buyers should look for when acquiring a home service business, and why roofing ultimately comes down to two things: marketing and sales.━━━━━━━━━━━━━━In This Episode━━━━━━━━━━━━━━• Buying your first home service business• The economics of running a roofing company• $20K average roof replacements• Roofing marketing and direct mail• Building referral partnerships that generate leads• Why seller integrity matters when buying a business• Competing against private equity and local roofers• Why roofing is a marketing and sales business━━━━━━━━━━━━━━Sponsors ━━━━━━━━━━━━━━The Military Veteran (TMV)Hiring a VP, GM, or C-suite leader? The Military Veteran (TMV) specializes in executive search for home service businesses, connecting you with proven veteran leaders who know how to execute, build teams, and drive growth. Select Owned and Operated as your referral source when you schedule a consultation: https://themilvet.typeform.com/to/BDwkmCU0?typeform-source=www.themilvet.orgBig ReputationGet more from your Google Business Profile with Big Reputation. Automate reviews, improve local visibility, and turn more Google searches into inbound calls. Learn more: https://www.bigreputation.ai/oao?utm_source=oao&utm_medium=paid━━━━━━━━━━━━━━Connect━━━━━━━━━━━━━━John Wilsonhttps://www.linkedin.com/in/johnbwilson1/Nicholas Rileyhttps://www.instagram.com/nickriley2/https://driftwoodbuildersroofing.com/Owned and Operatedhttps://www.ownedandoperated.com/Send Us Mail!More Ways To Connect with OAOStart HereOwned and Operated Newsletter Bonus Videos From JohnLeave a ReviewJohn Wilson, CEO of Wilson CompaniesJack Carr, CEO of Rapid HVAC

“We do it with AI” is easy to say. Making robots work through contact, uncertainty, and variation on a real factory floor is the hard part. We sit down with Whitney Dills from Thought Forge AI to unpack an approach to industrial robotics control that flips a common assumption: more data does not automatically mean better performance.Whitney explains active inference, a neuroscience rooted framework that treats robot control as continuous prediction and correction using real time sensory feedback. Instead of bloated backpropagation models that demand huge datasets and retraining for every edge case, Thought Forge trains quickly on small amounts of data and adapts after deployment. We talk about why that matters for insertion and complex manipulation, where torque, joint state, and haptics decide success or failure. If you have ever watched a slick picking demo fall apart the moment parts vary, lighting shifts, or fixtures drift, this conversation connects the dots.We also get practical about adoption: edge AI that can run on a CPU, the risks of GPU dependence, and how data ownership and IP concerns shape buyer trust. Whitney shares why their models stay on premise, why off the shelf robots and sensors often win over novel vertically integrated stacks, and how to think about cobots versus humanoids when reliability and cycle time are non negotiable.Subscribe for more conversations that cut through robotics hype, share this with someone evaluating “physical AI” for manufacturing, and leave a review with the one automation task you most want AI to finally handle.Support the show_________________________________________________________________

UK-based manufacturing software startup CloudNC announced Wednesday a $20 million B extension round, bringing its lifetime total raised amount to $128 million. Also, Cymphony was valued at more than $100 million in a $25 million Series A co-led by Sequoia and SMBC Fin Atlas Beyond Fund. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI is no longer just writing content for real estate agents. It can increasingly perform the work itself. That means agents need to decide what should be automated—and what absolutely needs to stay human. Tim and Julie Harris break down how AI agents can be structured like a real business team, with specialized roles handling CRM management, social media, transaction support, listing preparation, content workflows, community management, and other repetitive operational responsibilities. They also explain why automating more of the back office should not mean spending less time with people. It should mean the opposite. What you'll learn in this episode is how to think about building an AI team, which real estate tasks are easiest to delegate, how AI can support CRM and social media management, how agents can use AI for listing appointment preparation, why you do not need to automate everything at once, and which revenue-producing activities should remain firmly in the agent's hands. Tim and Julie also explain why relationships, referrals, prospecting, lead follow-up, presentations, negotiation, and face-to-face communication become even more important as technology gets better. For agents who want to grow without adding more administrative chaos, this episode offers a different model: let technology handle more of the repetitive work so you can spend more time doing the human work that creates listings and clients. Free training: HarrisRealEstateDaily.comCoaching: PremierCoaching.comJoin eXp + Libertas: WhyLibertas.com/HarrisText Tim Direct: 512-758-0206Opinions are my own and not the views of eXp Realty.

AI in sales can expose opportunities but it can't create execution. So what actually separates the sales organizations that act on the information from those that simply talk about it? Jacob Harris, Chief Sales Officer at TestEquity, is leading a company wide sales transformation focused on customer segmentation, territory management, and sales performance. In conversation with Harry Kendlbacher, he shares why technology is an enabler, not a replacement for the people doing the work. Harris explains why you “can't system away performance,” what sales leaders should look for when assessing organizational health, and why the best salespeople still have something technology cannot replace. ⏱️ Timestamps: 00:00 – Why AI in sales can't create execution 03:17 – Assessing sales organization health by getting into the details 06:11 – What sales technology still can't do 08:28 – How decentralized buyers changed customer engagement 11:26 – The difference between doing the work and talking about it 17:50 – The traits behind great sales leadership and B2B selling You'll hear about • Why better sales technology does not automatically lead to better sales performance • Why Harris sees the second and third question as a powerful sales management tool • What decentralized decision making has changed about customer engagement and buying behavior • Why the best sales organizations combine technology with fearless people who are willing to do the work About Jacob Harris Jacob Harris is Chief Sales Officer at TestEquity LLC, where he is leading a company wide sales transformation focused on customer segmentation, territory management, and sales performance. He spent 26 years at Arrow Electronics in regional and global commercial leadership roles in test and measurement and electronics distribution. Connect with Jacob Harris on LinkedIn: https://www.linkedin.com/in/jacob-harris-5646361a/

Today's guest will join the Restaurant Unstoppable Network for a live Q+A on September 14th, 2026 at 11AM EST. To join us and engage with all our guests and events, go to restaurantunstoppable.com/live -OR- to just catch today's guest, head over to restaurantunstoppable.com/cwe and we will get you a link to join that specific event for FREE! Jeremy Fitzgerald is an accomplished hospitality entrepreneur and the founder and CEO of 86DeadStock, a peer-to-peer marketplace designed to help restaurants, hotels, bars, and other hospitality businesses buy, sell, and trade surplus inventory. With a bachelor's degree in Hospitality Administration and Management from Bowling Green State University, Jeremy began working in the industry at an early age and went on to build a diverse portfolio of hospitality businesses, including Subway franchises, Bar 145, Commodore Perry Inn and Suites, and Fast Eddies Sports Bar. Drawing on decades of firsthand experience in restaurant and hospitality operations, Jeremy created 86DeadStock to address the industry's ongoing challenges with overstock, shortages, waste, and rising costs. The platform helps businesses turn unused ingredients, supplies, equipment, and event materials into opportunities for savings, revenue, and stronger local connections—while promoting a more sustainable hospitality industry. If you want to learn more about Hermetic AI and you want to support this podcast, please email Eric (eric@restaurantunstoppable.com) and he will personally introduce you to their team. Restaurant Unstoppable will receive a finder's fee if you simply book a demo. It really helps the show! Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: - Hermetic.ai  - Private event leads die in inboxes every day. Mia fixes that. She's an AI agent that responds within seconds, handles the back-and-forth, and fills your event calendar — automatically. Fully integrated in under 10 minutes. Head to hermetic.ai and put her to work. https://www.hermetic.ai/ - Hotshift - Hotshift is the all-in-one tool built by a restaurant owner, for restaurant owners. Scheduling, hiring, training, reviews — one roof, one login. Plusreal-time labor cost forecasting before the shift ever starts. Head to hotshift.pro/unstoppable. - Restaurant Technologies — the leader in automated cooking oil management. Their Total Oil Management solution is an end-to-end closed loop automated system that delivers, monitors, filters, collects, and recycles your cooking oil eliminating one of the dirtiest jobs in the kitchen.. Automate your oil and elevate your kitchen by visiting rti-inc.com or call 888-779-5314 to get started! - US Foods®. Running a restaurant takes MORE than great food—it takes reliable deliveries, quality products, and smart tools. US Foods® helps you make it. Ready to level up? Visit: usfoods.com/expectmore. - Guest contact info:  https://www.86deadstock.com Thanks for listening! Rate the podcast, subscribe, and share! 

#1069 What if you could turn a few months of AI experience into a business that charges clients $2,500 a month or more? In Part 1 of this two-part episode, Brogan Williams sits down with Corey Ganim, founder of Return My Time and AI Operator Academy, to break down how beginners can start making money by helping businesses implement AI. Corey shares his Audit, Optimize, Automate framework for identifying the right processes to improve before building anything, why effective AI skills are one of the highest-leverage opportunities right now, and how paid assessments can help uncover what a business actually needs. He also explains how aspiring AI entrepreneurs can land their first clients through warm connections, free mini-audits, and everyday conversations — without needing to be expert programmers or rely on aggressive cold outreach! What we discuss with Corey: + Turning AI into ROI + Selling AI services + Audit, Optimize, Automate + Building effective AI skills + Finding automation opportunities + Paid business assessments + Landing your first AI clients + Free mini-audits + Warm outreach strategies + Selling without cold outreach Thank you, Corey! Check out Corey Ganim at ⁠CoreyGanim.com⁠. Check out Return My Time at ⁠⁠ReturnMyTime.com⁠⁠. Listen to ⁠⁠The Build With AI Podcast⁠⁠. Contact Corey at corey@returnmytime.com. Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

A growing team does not always mean a growing business.Sometimes it just means you are paying people to perform tasks that software could handle faster, cheaper, and with fewer mistakes.That is where automation becomes one of the most powerful forms of leverage available to an entrepreneur.In this episode of The Level Up Podcast, Paul Alex breaks down why repetitive operational work should be handled by systems whenever possible and how automation can help businesses protect margins while scaling faster.The goal is not to eliminate people.It is to make sure your people are spending their time where human judgment actually matters.In this episode, you'll learn:• Why repetitive manual work quietly destroys profit margins• How to identify tasks inside your business that should be automated• Why tools like Zapier and Make can replace unnecessary administrative work• How automation creates infrastructure that can scale without constantly increasing payrollThe truth is simple:Your team should be focused on empathy, strategy, creativity, and decision-making.Software should handle the repetitive work.Map the process.Find the repeated actions.Automate what does not require human judgment.Then use your people where they can create the most value.The more efficiently your business operates behind the scenes, the easier it becomes to scale without letting expenses grow just as quickly as revenue.Your Network is your NETWORTH!Make sure to add me on all SOCIAL MEDIA PLATFORMS:Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you:www.CashSwipe.comFREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com

Paper schematics feel “reliable” until they are the reason a shutdown drags on, a cabinet print is wrong, or a tech makes a split-second mistake under pressure. We sit down with Dylan from Lightstream, a Belgian family-owned industrial automation company, to get brutally practical about what it takes to move maintenance from binders and drawers to a digital workflow that technicians will actually use.We unpack Cabinet Manager, which Dylan calls the digital Swiss pocket knife for technicians. The promise is simple: scan a code at the machine and instantly pull up the right electrical schematics, manuals, procedures, and diagrams in one place, tailored to who you are (electrician, mechanic, PLC programmer). From there, updates and annotations are captured as the work happens, so “as-built” documentation stops being a fantasy and starts becoming a habit.Then we go deep on augmented reality in manufacturing. Dylan shares real demo data comparing troubleshooting by paper, tablet, and AR, and why AR can slash time because the information is in your field of view and your hands stay free. We also challenge the easy narrative around AI: manuals are not the same as experience, and the real win is capturing tribal knowledge from veteran technicians before it retires out the door. Along the way, we talk safety and lockout tagout, labor shortages, retention pressure from data centers, and why humanoid robots may be more PR than practical in today's plants.If you care about digital transformation in industrial maintenance, OT reliability, and safer troubleshooting, this one is for you. Subscribe, share it with a maintenance leader, and leave a review with your take: what is the biggest barrier to going paperless where you work?_________________________________________________________________

Burned-out teachers making 73 cents on the dollar. Overworked, underpaid, and walking out the door 7 in 10 quit within five years. This is your kid. Your classroom. Right now. Dr. Phil says it's time to stop talking about fixing education and start doing it. Sponsored by Preserve Gold: Get up to $20,000 in FREE Gold & Silver with a qualified purchase. CALL: 844-718-2642 Text ASKPHIL to 50505 or visit https://DrPhilgold.comSponsored by HighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Summer of AI Is Here! Get 5 FREE AI Tools All Summer Long. Visit: https://DrPhil.com/Business and get your life back on track.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What happens when decentralized blockchain technology meets artificial intelligence's reasoning capabilities? In this throwback episode from 2025, we sit down with Jonathan King, Principal Investor at Coinbase Ventures.JK breaks down the origin story of Coinbase Ventures, from its lean, ecosystem-indexing beginnings in 2018 to managing over 500+ investments and deploying capital via the Base Ecosystem Fund. He provides a deep dive into Coinbase Ventures' flagship thesis on the convergence of crypto and AI.Discover why Jonathan believes autonomous AI agents using crypto rails (like stablecoins and self-custody wallets) will become the primary drivers of economic activity. He also highlights portfolio breakouts like Vana Network and Sapien, shares how AI developers like Devin and Cursor will spark an on-chain app explosion, and reveals what he looks for when evaluating technical co-founders.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comDouble your team's efficiency with COCO. Hire dedicated AI employees for copywriting, research, and CRM. Use code REF-W8CBVH for an exclusive 5% off your first order: https://coco.xyz/dashboard/hire/plan?ref=REF-W8CBVH Do you want to grow a business? Go from an idea to livebusiness in minutes. Use our Referral code: edgeof to 50% off your first month at https://www.willo.ai/When you purchase through these links, we may earn a commission. ____

Live from ILTACON | Sponsored by Steno AI is everywhere in legal. But the biggest change over the last year isn't simply better answers from AI. It's the ability to begin automating the work itself. Live from ILTACON, David Cowen sits down with Chris Emerson, Chief Legal Operations & Innovation Officer, to explore what AI is actually changing inside legal teams, what still hasn't changed, and where the biggest opportunities are emerging. From the growing war for Legal AI talent to turning knowledge trapped inside lawyers' heads into AI-ready workflows, Chris offers a practical look at where legal is heading next, including how his team built an AI-assisted pre-bill review capability in just 33 days. In this episode: Why AI is moving from assistance to actual workflow automation Why adoption remains one of legal's biggest challenges The four traits tomorrow's legal talent needs: curiosity, adaptability, resourcefulness and grit Why leaders should be investing in their top 20% Why the next AI opportunity is getting knowledge out of people's heads and into workflows How AI is shrinking development cycles from months to weeks What leaders should never delegate to AI: strategy, direction and guardrails Chapters 00:10 | AI Everywhere: What Changed in the Last 12 Months? 01:40 | Why Legal's Adoption Problem Hasn't Changed 02:59 | What Leaders Should Look for in Legal AI Talent 04:05 | Curiosity, Resourcefulness, Adaptability & Grit 05:28 | Why Leaders Need to Invest in Their Top 20% 08:30 | Grit, Failure & Why Lawyers Need Rapid Prototypes 10:36 | What Legal AI Still Needs in 2027 12:07 | Where AI Will Create the Next Career Opportunities 13:13 | Turning Legal Knowledge Into AI Playbooks 14:00 | Building AI-Assisted Pre-Bill Review in 33 Days 14:56 | Building an Internal AI Platform Around Firm Data 15:37 | What Should Humans Keep as AI Automates the Work? The Closing Thought "AI is not aware of where we are culturally on the journey." As AI gets better at doing the work, the responsibility for strategy, direction, guardrails and judgment remains human. Follow SOLID for more conversations with the leaders shaping what comes next in legal. https://solid.legal/

Episode 460 | High Tech, High Touch Podcast Description AI is everywhere right now. It's faster, smarter, and showing up in more places than most of us expected. In Episode 460 of School Owner Talk, Duane and Allie dig into the real tension school owners are feeling: yes, tech can make your school more efficient — but it can't replace the core of what makes a martial arts school work. That core is the relationship triangle: instructor → student → parent. This episode is all about using “high tech” the right way (for transactions, reminders, organization, and admin)… while doubling down on “high touch” (real connection, real coaching, real partnership) so your school doesn't become just another activity families rotate through. Key Takeaways 1) AI can improve efficiency, but it can't replace the relationship triangle Duane frames it clearly: tech can help your school run smoother, but it will never replace the most important triangle in your school — the instructor, student, and parent relationship. In a world where people assume everything is automated, genuine human connection is becoming more valuable, not less. 2) People are starting to assume everything is “an automation” Allie shares something school owners are running into more and more: even when you send a real message, people assume it's a robot. That creates a weird new challenge — you're not just trying to communicate well, you're trying to prove you're human. 3) Connection matters more now than ever — because society is more “throwaway” Allie brings up a tough truth: 15–20 years ago, instructors often carried more cultural reverence. Now, many families treat martial arts like one option in a long list of activities. And when you're “only as good as your last mistake,” the relationship has to be stronger to survive normal misunderstandings. 4) Don't automate away the relationship Duane says it straight: technology isn't the enemy — but don't automate away the relationship. Use tech to handle transactions. Let people handle relationships. 5) “Breaking the third wall” is how you invite parents into the experience Duane uses a powerful analogy: The karate floor is the stage The students are the actors The instructor is the director The parent is the audience If the audience doesn't understand what's happening on stage (and why it matters), they eventually stop showing up. So the instructor's job is to “break the third wall” — to actively connect what's happening on the floor to what the parent wants for their child. 6) Parents don't know what to look for — so you have to lend them your “glasses” Duane makes the point: parents can't recognize growth they don't know how to spot. If a parent says they want confidence, then the instructor has to: know that goal watch for it point it out in real time help the parent see it That's how you turn “martial arts class” into “this is changing my kid.” 7) Parent partnership is proactive — because by the time you hear “my kid wants to quit,” it's usually too late Both Duane and Allie agree: when a kid says “I don't want to go anymore,” most parents only ask a couple surface-level questions. School owners have to coach parents on: what sticking points look like what questions to ask how to peel the onion back how to hold the line when the child is frustrated 8) Use shared language to beat the “law of familiarity” Duane explains the “law of familiarity”: kids know how to push their parents' buttons because they're familiar. One way to bridge the gap is teaching parents to use the same language you use in class. When parents use dojo language at home, it snaps the child back into the same structure and expectations. Action Steps for School Owners Step 1: Make a list of what should be automated vs. what should never be automated Use this simple filter: Automate transactions (reminders, scheduling, admin, organization) Protect relationships (check-ins, coaching conversations, noticing emotions, personal follow-up) Step 2: Start one “high touch” habit you can actually sustain You don't need a massive program to start. Try this: Pull one parent per night for a 10-minute conversation Keep a simple list so you rotate through families Step 3: Build “breaking the third wall” into your teaching Pick one thing a parent wants (confidence, focus, respect, self-control). Then once per class, point out a moment that shows progress: “Mrs. Jones — did you hear how confidently Johnny answered that?” Step 4: Teach parents how to handle the “I don't want to go anymore” moment Be proactive. Tell parents upfront: sticking points are normal frustration is part of growth quitting conversations need deeper questions Then give them a simple script and a few follow-up questions to ask. Step 5: Use tech to create reminders for personal connection You can't automate genuine care. However, you can use tech to remind you to do it: reminders to send a postcard reminders to ask about a baseball game reminders to check in with a family Additional Resources Mentioned The relationship triangle: instructor, student, parent “Breaking the third wall” analogy (stage, actors, director, audience) The “law of familiarity” (why home behavior differs from dojo behavior) Principle: Technology handles transactions; people handle relationships Examples of high-touch actions: handwritten cards, birthday cards, personal apologies, check-ins

Tiff and Pam talk about the current intersection of technology in the practice, and how using and understanding AI as a tool for busywork means you can focus on the tasks that really need that human touch. They talk about why training AI could be just as critical as training humans, where to look first when incorporating the software into your practice, how a staff member can serve as quality check for automated tasks, and more. Episode resources: Subscribe to The Dental A-Team podcast Schedule a Practice Assessment Leave us a review Transcript: Tiffanie (00:01) Hello, Dental A Team listeners. This is Tiff back with you here on the podcast. And we are in the studio today. I have myself and I have Miss Pam with me. And Pam is one of our prize possession consultants here at the Dental A Team. We have had Pam on our team for a little while now. And if you are special enough and blessed enough to work with her, you know exactly who she is and you have some solid foundational systems. Pam is a systems guru. She busts them out.   And she holds accountability like I've never seen before. And when she learns something, she learns it forever. And I love getting to watch you, Pam, progress in your Dental A Team journey. I watch you like taking notes all the time on the systems that we, you know, hold tried and true. Yesterday Dana was talking about a couple of systems during our collaboration and I was like, gosh.   She's just over there feverishly writing and I love it because I know exactly what's gonna happen. You're gonna like go back, you're gonna relearn   Pamela (00:54) I was. Yes, I was.   Tiffanie (00:58) it, and you're gonna teach it. And it was just really cool. So I love that, Pam. Thank you. And I love that you have these skill sets that you're able to then take and you help so many practices implement the same skill sets, like not just our systems, but how to retain it. You know how you retain it.   But then you're also looking for how are other people retaining the things that they're learning so that you can help them grow in their learning as well. So it's just really cool to watch, Pam. Thank you for everything you do and thank   Pamela (01:27) Thank you.   Tiffanie (01:28) you for being here today. How are you?   Pamela (01:31) you know, I'm doing fabulous and thank you. I appreciate all those kind words, Tiff. That was very nice. I think it's a unique and great time to be in dentistry. So v we've seen a lot of changes over the years and now we're to a stage that is changing very, very quickly.   Tiffanie (01:50) I agree. I I love that you said that, Pam, because something that I think we've said in dentistry for a long time is that dentistry is really progressive in a lot of ways. I think there's a lot of things in dentistry that haven't changed and haven't progressed, like Rick canals, things like that are still being done similarly to how they were thirty years ago. But so much in dentistry is so progressive and it's changing all the time. But I I think we've always said that. But I think in the last five, six years that has   Like us saying that before doesn't even make sense anymore. Like the progression we're seeing now is wild.   Pamela (02:26) It's it's crazy. you know, I was thinking about this, and there are so many systems that we have done for years that we're not perfecting, right? That we still could perfect and are in addition to any AI stuff we have. But the interesting thing is is that now something that has been in scarcity our entire human existence or now or soon will become like an abundant commodity, which is intelligence, right?   Tiffanie (02:53) Yeah. Yeah.   Pamela (02:55) So   I think that it's really wild to be thinking about that intelligence is a commodity and we can buy it.   Tiffanie (03:03) Yeah, I think that's amazing. That was a great perspective. And you are not wrong. I listen to a lot of   Pamela (03:07) Yeah.   Tiffanie (03:09) podcasts and I know you do too that speak to that same thing. And I think both of our households house many conversations around that same thing. I think we we share that.   Pamela (03:18) That is so true. It's so true.   Tiffanie (03:22) Yeah. So with that, Pam, I think that's a great start. What are you seeing? expand on that for me. Like what are you seeing as far as I love that like intelligence is is a   purchasable at this point. What are you seeing with your practices or just the research you're doing and the things you're hearing and and listening to within the dental world, narrow that down for us. What are you seeing from your perspective how that's changing dentistry?   Pamela (03:48) Yeah,   well I I think the the question is is how do we react to that reality, right? And a lot of practices are have not gotten into the AI and are now saying, okay, I want my insurance verification done, I want, you know, RCM done, the revenue cycle management done by AI, but it is a little daunting. Right? It is like I had one practice say   yo well we have this company that's doing our RCM and and I said do you are you like what are you doing with it and they said nothing they do it and I'm like dear goodness gracious like there are you have to manage it unfortunately I think we're at a real a space where we're not the Ironman like Jarvis runs everything   Tiffanie (04:43) Yeah.   Pamela (04:43) you know stage we're at the   Alexis and we have a lot of really smart AI tools. Most of them, I'm well, they're all sitting on top of separate systems and what we are contributing. I don't think we're pardon me quite to the point where it's an operating system as opposed to, you know, pieces. So I'm seeing practices now take those pieces, try to learn them, and then develop their skills even more in the stuff that they were doing.   So what I mean by that is how are we, how are they actually doing at clean claims, right? Are they   Tiffanie (05:23) Yeah.   Pamela (05:24) getting the clean the claims clean before they send them in? how are they doing on you know managing the online scheduling? Are they reacting to that? And is all the patient's insurance information accurate before it goes to the AI?   So that's that's what I'm seeing. That's a s a little bit of a struggle.   Tiffanie (05:47) Yeah. I think something you pointed out there was that a lot of people a lot of people seem to be jumping headfirst and just like handing the keys over rather than allowing it to be a tool that they use still with oversight. And I noticed recently, even just on my chat GPT that I use down at the bottom, it's like, Hey FYI, these may be inaccurate. Like this is not to be taken as truth. Yeah. And I'm like, well   Pamela (06:11) Yes, I j I saw that, yeah. So true.   Tiffanie (06:16) We need that reminder though, kind of like the McDonald's coffee cup that now has, you know, since nineteen ninety or whatever it was, says that the contents are hot. Like humanity needs those reminders 'cause I think we're so it's like a it's a catch to me too, 'cause I do think we're so quick to jump onto things and try them. But   Pamela (06:34) Mm-hmm.   Tiffanie (06:34) at the same time we're like second guessing and   thinking we can't and thinking they don't work, but we do latch on to certain things where we're just like, wait, that was expected. I expected to be able to drink my coffee as soon as you handed it to me. You know, that it wasn't gonna be scalding hot, that I could just just go. And same with the AI. I think there's so many aspects of it that we just expected all of the truth to be on the internet somewhere. We've been primed that the truth is on the internet and   we just expected it to be true that now chat is like, hey, wait a second, like, hey, I'm just like your buddy who did the research online, the same as your friend next door. Like this   Pamela (07:09) Right.   Tiffanie (07:13) could be wrong. And I think it's an interesting thought because to your point of view, handing over your cycle management, your your revenue and all of that data, handing that over to AI and expecting it to just be perfect from here on out with no mistakes is wild.   Right, but we're doing it. So many of us are doing it. Similarly to the online scheduling. I know we have a lot of practices and we have some doctors that have spoken for us at our events. we had one last September that our doctor focused on AI, and she pointed out the facts of needing to train their AI the same as they're training a human. Like you get a   Pamela (07:51) Yeah, yes. Yes.   Tiffanie (07:54) result and you're like, you got that result, you're fired, you're done, we give up.   You say, actually,   Let's tweak it to be what we want it to be. So we're saying yes and okay, cool. And let's do it this way. Let's move it this direction. with that statement, you also said insurance verifications, making sure they're accurate. And it made me think too, we've always said, you know, good information in is good information out, bad information in is bad information out. And I think   That's the same with any of it, with any of the AI tools or any of it, right? The it can only scour the internet for so much information and find so much truth. With the good information in, that goes as far as everything. So whatever it is that we're asking and training these systems and these tools to produce is what we're going to get. So we're not spending the time with the AI and we're not spending the time saying, This is the result that I want, this is how I want you to get there.   we're doing a disservice to ourselves just the same as so many people we were just talking about this. So many people are still misusing or underutilizing tools that we've had for gosh, at this point I always say 30 years, but at this point I think it's going on like 40 years, right? Like we've had these tools for   Pamela (09:12) Exactly, yeah.   Tiffanie (09:14) a long time. We're still   Pamela (09:16) Yeah.   Tiffanie (09:16) misusing them because I know both of us have walked into offices where they're like changing the prices in the treatment plan.   And they're doing all this math and there's a calculator. I still have offices that have the calculators that have the tape, and I'm like, where are you even where do you buy the tape anymore? Right. But they do, they have this running tab. And I'm like, what are you doing? And they say, Well, it's never right. We always have a balance. And I'm like, Okay, this is like a band-aid fix, right? So no matter what technology you have, there's so much tech that saves us so much time. And that's the point of this conversation is what kind of tech is out there that can   save our team   Pamela (09:52) Mm.   Tiffanie (09:53) time. And a lot of that time is for the administrative team, gives them the the chance to do other things, right? So automating things gets rid of busy work, allows them to do other things. But if we're not utilizing the tool correctly from the get-go, it's not saving the time because we're going back and fixing it anyway. So maybe we're saving time on we have an online scheduling app and it works. So our team maybe doesn't have to answer as many new patient calls.   But then that same person is over here calculating by hand a treatment plan estimate. It's like, cool, well, we just like took nonsensical   Pamela (10:28) Yeah.   Tiffanie (10:29) time and put it into a nonsensical time suck again. So, Pam, how   Pamela (10:33) Yeah. Yeah.   Tiffanie (10:35) are you helping the chain offices to really utilize the tools to actually save the time? And when they're not, so like that situation, how do we how do we get to the bottom of it? Because for me,   When I see somebody calculating treatment plan estimates because they always have a bill at the end, I'm like, cool, that's like a band-aid over this massive gash on your arm and it stopped the bleeding   Pamela (10:59) Mm-hmm.   Tiffanie (11:00) in that one spot, but it's not fixed. Like you still need stitches. How do we get to the bottom of it? And how do you help practices really figure out what truly is going to save them time and how they can get there?   Pamela (11:14) Yeah,   I think it goes back to basics. Before we layer on that AI piece of it, we have to have those basics in place. And you're right, there are a lot of practices and you know that are struggling with that. They're still doing things by hand. So, you know, have going back to the basics and having that correct verbiage, I think, is super important. to with the patient of knowing that.   There may be, it is an estimation, and there may be a difference when once your insurance pays. And you can offer to the patient, you know, if you would like to call, I don't like doing predeterminations, pre-D, I'm kind of against them. A lot of people still do them for larger treatment. I understand that. but for if you are to, you know, tell a patient, look, if if it's a credit.   we will get that credit right back to you within the month, right? have   Tiffanie (12:12) Mm-hmm.   Pamela (12:13) some sort of verbiage that gives you a little bit of out, but also be confident when you're prevent presenting those numbers if you've done the homework. So I think that's where it goes is back to the basics, making sure the basics are correct before you, you know, are giving that treatment plan to the patient. And then your verbiage is super important. And trusting it.   Tiffanie (12:36) Yeah, I totally agree.   And trusting it exactly. Being able to trust the system is huge. So making sure I think you're you're like spot on back to the basics, right? So making sure your verbiage is in line and making sure that the information that we're putting into the computer system is as accurate as possible. And you can use AI tools for that too, right? So we have   Pamela (12:55) Right. Right.   Tiffanie (12:56) AI tools this day and age that do insurance verifications and they upload it into the system.   They do all of the pieces. But then again, back to what we said earlier and how you said like this practice is like, we don't even look at it, right? Same thing. Like if you're if you're paying for an AI bot to go scour, get the information, put it into your system, and then you're turning around and you're like, well, it's always wrong, right? I I always have a balance or a credit. And so I calculate it just to double check, like, okay, maybe we need to look to see.   Further back, where is that miscalculation coming from? Because the insurance data in the system, the patient's data in the system, the right fee schedules, all of those pieces are feeding the tech and the intelligence, the information that it's spouting out to you. So it can only do so much. So if you've   Pamela (13:47) Right.   Tiffanie (13:48) got, you know, you didn't mark the you didn't you didn't tell the bot that you needed to mark that there was a downgrade. So you're you're having   crowns come back and there's two hundred dollar balance because it was downgraded, right? Well, stop hand calculating that and tell the bot to do it differently. Tell the system to do it differently. Whatever your system   Pamela (14:06) That's right. That's right.   Tiffanie (14:08) is, there's a little button somewhere that you you click it and it says downgrades, right? Account for downgrades, etc. So utilizing those tools from the ground zero, I think is just massive and it's something that's been severely underutilized for a really long time.   that needs to be right first. Because then if we go in and we layer these AI bots on top of that, that data is what they're working with. Just like Dentrix can only give you a treatment plan based on the information that you put in there. You put the fee schedule, you put the percentages, you put the treatment plan. You did all the buttons, you clicked and you put the treatment plan. It spouts out these numbers based on the information you put in it. The bot's going to do the same thing. So I think that's our soapbox bot.   Pamela (14:55) yeah.   Tiffanie (14:55) situation there,   like we go on forever. Go for it.   Pamela (14:59) Yeah, no, I I agree and a lot. a lot of practices are struggling with this and they're because they're getting this AI and saying, Hey, it's not worth it. Like I'm still having to call the insurance company, I'm still having to, you know, calculate by hand, right? And I think it it does go back, like we said, to the basics and really digging down on that. And I mean continue to use AI, but like you said.   it's so interesting. You have to teach it, right? And you may not be able to look to say, this is the exact to the penny downgrade amount, but once you have taught it, you do need to trust it. Yeah. Yeah.   Tiffanie (15:40) Yeah, I agree. I love   it. Okay, what kind of tools? I've I've got a few, you know, that I'm I've been seeing the online scheduling, I think, is finally making it headway. It's been a tool that we've had for a really long time, but we've   Pamela (15:55) Yes.   Tiffanie (15:55) all been very afraid of it for good reasons. That's fine. But what are some other tools that you're seeing them implement? So AI bots, like what are what are your practices using them for that people could start looking at?   Make sure their foundations are correct. Start looking into how could we automate some busy work to give my team back time? What are you seeing out there in in dentistry right now, Pam?   Pamela (16:17) Yeah.   definitely the RCM, the revenue cycle management. I think that AI does a really great job with that. But the thing I I spoke about earlier is I the and getting to the root of the problem, if you don't want to have to manage it more, then you have to make sure your claims are clean. And what does that mean? And that's going back to basics, truly, as well. Like, are we taking all the photos? Are we taking   you know, all the blood points when probing. Are we doing are we doing everything we can do to make sure that they have as much information as they have. So I think RCM is kind of the number one I'm seeing. insurance verification, where a lot of practices are moving there. I think there's still a little struggle with that because we don't get the patient information a as quickly. And you know, I think most of the most of them say put it in two days before.   Tiffanie (17:15) Yeah.   Pamela (17:16) Patient communication, so even filling the schedule, right? texting people to say on an ASAP list, you know, those kind of things are being utilized very well. schedule optimum schedule optimization as well. So I think there are programs out there that help you say fill that schedule and say, here's the patients that would work in this hole, right? So I think it's   We have to accept that AI is here, right? so I think very, very to your point is yes, training it, but also yes, we do have to learn it. And it it will be it's one of those things. We're kind of lifelong learners, people in dentistry, because we always have new things coming. And so we have to look at it like this. This is just a a piece to learn, and the more we can learn about it, the better.   that we are gonna get. We can't just be afraid of it. I say dig right in, figure that, you know, whatever you're using, figure it out. Call the company, ask questions, ask the right questions, you know, what what how do I get my insurance verification better? You know, and let them help you and tell you because they know everyone doesn't know. And if you just like one and done, I'm leaving it alone, you're probably not gonna have   as good of experience as you could have with it. Yeah. And so I think doctors   Tiffanie (18:43) Yeah. Yeah, I love those.   Pamela (18:45) need to be a little bit aware aware. It takes time to learn. It's not just plug   Tiffanie (18:50) Yeah.   Pamela (18:50) and play.   Tiffanie (18:51) Yeah. And to piggyback off that, it sounds like making sure we still have KPIs in place, there's still somebody overseeing results, that somebody's still verifying that that employee, right, is doing the job right is key because if we're if we do have an AI bot that's helping with revenue cycle management, and then we're not looking at AR numbers, we're not seeing, you know, our over ninety.   decrease or or is it increasing like we're not watching those KPI points. That's how it gets lost. Just the same as somebody with a great resume comes in and says, hey, I'm gonna clean up your AR for you. Pay me X amount of dollars and we stick them in a corner and never look at it. Right? It's the same thing. So making sure those KPIs are in place. I think there's a ton of AI style tools that have come out for front office administrative work, which makes sense. You know, that's that's where AI   is in the administrative world right now as the recording of this podcast at least but something that I see a lot of practices using too and I think you have a few that are using them the like Pearl and Overjet AI systems for that second opinion at least I know a lot of doctors are liking that second opinion which has helped it's not I I think of it as busy work now but that like co-diagnosing space and really just that confidence   in what I'm diagnosing seems to come across a lot more from the doctors and those tools have been super beneficial as well. So I think there's starting to be this massive shift in the AI tech kind of industry where there is going to be more coming out for the the back office as well. And I think Pam, a lot of insurances are actually using systems like Pearl and Overjet, those AI tools to read x-rays and process claims a lot faster too.   Which to your point then they gotta be super clean. You're okay.   Pamela (20:45) Well, yeah, and and sorry, I totally did not mean to interrupt you,   but that that brings up something that I've thought about and I've heard from practices, a lot of claims are being denied, right?   Tiffanie (20:58) Yeah.   Pamela (20:58) More. I think it's up like by twenty percent over the last few   Tiffanie (21:01) I agree.   Pamela (21:01) years. And that's probably because they are using AI to read the x rays, and   Tiffanie (21:09) Yeah.   Pamela (21:09) there is no way the human eye can be as good as   an the AI assistance, you know, the tech   Tiffanie (21:19) Yeah. Yeah.   Pamela (21:20) the the radiology it it it that is going to become an AI job. So just in general.   Tiffanie (21:25) For sure.   Pamela (21:26) And so reading reading X rays, they're they're proficient. They're they're extremely intelligent at it. And so we need to jump on that bandwagon to make sure that we are seeing everything too. But   yeah, that's   Tiffanie (21:40) Yeah, agreed.   Pamela (21:41) very, very true.   Tiffanie (21:42) Yeah. And the same as the other AI tools, they have their variances as well. And you train those   Pamela (21:47) Mm-hmm.   Tiffanie (21:47) tools too. And you train yourself to see like, okay, well, this variance of that is like that's that's pretty extreme. I'm not like my practice doesn't diagnose that way. Cool, that's a watch for you, right? But at least it's being pointed out and you can compare. You can look at okay, what did last time look like versus this time? Which is super cool because that's not something you can do.   with just our eyes of that kind of comparison.   Pamela (22:11) Yeah.   Tiffanie (22:12) So whether you're diagnosing off of it or using it as a tool to see progress and change, train it, train it and train yourself just the same as you're training your scheduling bots.   Pamela (22:22) I I agree a hundred percent. And it it does have to be managed, right? It it does have to we have to learn it and we have to manage and it i it's just not a one and done. Just yeah. So very sh very   Tiffanie (22:33) Yeah. Yeah. Well, I love it.   There's so much tech to be found. I think some key ones that we can kind of action item here to go explore at least. I love the online scheduling tools if you're not using them yet. I think they're worth it. they weren't always. They have turned a corner. They are worth it. and Pam, I think even the scheduling   bots that answer, you know, new patient calls, things like that are taking over and they're doing really phenomenally. And then I think I would push to make sure your insurance information is accurate. obviously, you know, Pearl or Overjet kind of tools, those are phenomenal too. But I think starting with those scheduling and those insurances, if you're not using those tools yet, I think it's worth looking into because I really do think that revenue cycle management, all of those pieces are   hugely beneficial at this point. So do your homework. Go ahead.   Pamela (23:30) I agree and I think I think   it yeah, do your homework and I think it's exciting what's happening in with the voice activation. I don't think it's quite   Tiffanie (23:38) Mm-hmm.   Pamela (23:39) there yet, but that is something I know dental offices are very hungry for. I know it's a little intimidating, but when it gets better, and I I think it's developed huge amount from when I was in the office because it d had   Tiffanie (23:53) Yeah.   Pamela (23:54) just started. and you know, I think   Offices are really looking forward to that and doctors are looking for their notes to help with their notes, right?   Tiffanie (24:05) Yeah.   Pamela (24:05) So I think those are the two big areas that we want to watch   Tiffanie (24:08) Yeah.   Pamela (24:09) and really keep abreast of what's going on and you know, keep automating and you can do it slow and it shouldn't be intimidating.   Tiffanie (24:18) Yeah, I completely agree. I think slow is fast these days. Everything's changing so much. It's worth it to do   Pamela (24:24) Yeah.   Tiffanie (24:25) your due diligence and make sure that you're using it correctly and to its full extent. So I love it. Thank you so much, Pam. This was a lot of fun. I know that the AI tech world is your jam. you do a lot of introspective work on it and just it's a big conversation topic for you. So thank you for   Being on here with me today and being willing to share your knowledge.   Pamela (24:49) Thank you, thank you. I love AI and I can't wait to buy a robot.   Tiffanie (24:54) Yeah, no right. That's what a our   we have an almost 13-year-old in the house and he's ready to buy one, ready to build them, ready to go. I love it. I love it. Of course.   Pamela (25:02) I know, it's it's very cool. Well thank you for the time, Tiffanie. It was great to talk about this.   Tiffanie (25:09) Thanks, fam. Awesome. Okay, listeners, share this with a buddy. share some information you might have. You might be trying something in your practice now. Drop us a five-star review below and call that out. People do read through those comments.   or if you're on our socials, put it in the comments section. You guys have some conversations about this. There's a lot to be learned here and there's so much to be shared. I know we had a doctor speaking on how she's using AI, but then we also just had a massive conversation in our doctor's only mastermind last Tuesday about AI tools, AI bots, kind of how different practices are using them. So it's a huge conversation. Get it rolling in there, get on board with some other doctors and share these tools with each other.   Hello@TheDentalATeam.com. If you need anything from us at all, we are always happy to share all of the knowledge that we have and we're always happy to help you in your practice on your journey towards an amazing rest of the year. Thanks so much guys and we'll catch you next time.  

Sign up for my FREE 3 Day Accelerator - How I Built and Sold a 7-Figure Therapy Practice in 3 Years → https://mccancemethod.com/free-3-day-live-course/Want to watch this episode on video? Check it out here on YouTube: https://youtu.be/0j7z97wzFdkIn this episode, I take you inside ClinicMonk™ and show you how its visual pipeline helps you track every inquiry from the moment it comes in. I share how you can automate follow-ups, monitor your leads and conversion rates, and quickly spot where things are getting stuck so you can make smarter marketing and intake decisions.Make sure to bring your paper and pen because this episode is full of actionable tips!Here are some key points in this episode:[02:36] See how ClinicMonk™ tracks every inquiry in one visual pipeline.[03:22] Automate follow-up for forms, missed calls, and consult bookings.[08:09] Learn why fast follow-up is key to converting leads.[09:45] Track which inquiries come from Google Ads.[10:37] Identify qualified and unqualified leads.[14:24] Spot intake and conversion bottlenecks quickly.Links From The Episode:Join the ClinicMonk™ waitlist → https://clinicmonk.com/Google Workspace → https://referworkspace.app.goo.gl/EtJ2Here is the Janeapp link for TWO free months on us! https://janesoftware.partnerlinks.io/ytg4vn Use Coupon: MCCANCE2MOMentioned in this episode:Sign up for my FREE 3 Day Accelerator - How I Built and Sold a 7-Figure Therapy Practice in 3 Years → https://mccancemethod.com/free-3-day-live-course/

Today's guest will join the Restaurant Unstoppable Network for a live Q+A on September 7th, 2026 at 11AM EST. To join us and engage with all our guests and events, go to restaurantunstoppable.com/live -OR- to just catch today's guest, head over to restaurantunstoppable.com/cwe and we will get you a link to join that specific event for FREE! Jesse Stein is the founder and CEO of Hermetic AI, which develops AI-powered tools to help restaurants, hotels, and entertainment venues convert more private-event inquiries into bookings. A serial entrepreneur with multiple successful exits, Jesse has built companies spanning technology, e-commerce, digital marketing, and nutrition. He holds an MBA from The Wharton School and is now focused on using AI to make hospitality sales more responsive, efficient, and personal. If you want to learn more about Hermetic AI and you want to support this podcast, please email Eric (eric@restaurantunstoppable.com) and he will personally introduce you to their team. Restaurant Unstoppable will receive a finder's fee if you simply book a demo. It really helps the show! Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: - Hermetic.ai  - Private event leads die in inboxes every day. Mia fixes that. She's an AI agent that responds within seconds, handles the back-and-forth, and fills your event calendar — automatically. Fully integrated in under 10 minutes. Head to hermetic.ai and put her to work. https://www.hermetic.ai/ - Hotshift - Hotshift is the all-in-one tool built by a restaurant owner, for restaurant owners. Scheduling, hiring, training, reviews — one roof, one login. Plusreal-time labor cost forecasting before the shift ever starts. Head to hotshift.pro/unstoppable. - Restaurant Technologies — the leader in automated cooking oil management. Their Total Oil Management solution is an end-to-end closed loop automated system that delivers, monitors, filters, collects, and recycles your cooking oil eliminating one of the dirtiest jobs in the kitchen.. Automate your oil and elevate your kitchen by visiting rti-inc.com or call 888-779-5314 to get started! - US Foods®. Running a restaurant takes MORE than great food—it takes reliable deliveries, quality products, and smart tools. US Foods® helps you make it. Ready to level up? Visit: usfoods.com/expectmore. - Today's guest recommends:  Hermetic AI Guest contact info:  Website: https://www.hermetic.ai/ If you want to learn more about Hermetic AI and you want to support this podcast, please email Eric (eric@restaurantunstoppable.com) and he will personally introduce you to their team. Restaurant unstoppable will receive a "finder's fee" if you book a demo. It really helps the show! Thanks for listening! Rate the podcast, subscribe, and share! 

This month we are focusing on building a Peaceful Productivity habit. My goal is to help you build habits peacefully so that you can impact your world powerfully. In the Hello Mornings Daily Podcast, I share a simple tip based on our monthly theme and then I close the podcast with our 3-Minute Morning Routine. THE 3-MINUTE MORNINGGod Time: Pray Psalm 143: 8 (Minute 1)Plan Time: Prayerfully Review Your Calendar (Minute 2)Move Time: Take 5-10 Deep Breaths (Minute 3) That's it! Adjust as needed and use as your pathway to a growing morning habit! Want to go deeper with our workshops, journals, Bible Studies and accountability?Join The Hello Mornings Academy, where we help Christian women build habits and reach goals peacefully so they can impact their world powerfully. DOWNLOAD OUR RESOURCES: https://www.hellomornings.org/goodies CHECK OUT THE COMMUNITY: https://www.hellomornings.org/academy GET THE BOOK: https://amzn.to/3Nelx6p Cheering you on,❤️ Kat Lee

Hi Mamas, ,  What if the goal isn't to get better at doing everything... but to make some of it easier?  As busy working moms, we become incredibly capable. We manage careers, kids, calendars, meals, appointments, school activities, relationships, homes—and about a million tiny details no one else seems to realize we're keeping track of.  And somewhere along the way, we can start believing that because we're capable of doing it all, we should do it all.  But this week's Monday Mindset is your reminder:  “Every task you simplify creates space for something that matters more.”  Because simplifying your life isn't just about saving time. It's about deciding what you want to do with the time you get back.  Maybe simplifying dinner gives you more time to sit with your family.  Maybe automating a task gives you time to take a walk.  Maybe delegating something gives you more patience with your kids.  Maybe finding a faster way to handle something at work helps you close your laptop on time.  Or maybe that extra time gives you a few minutes to sit on the couch and do absolutely nothing—and yes, mama, that counts too.  In today's Monday Mindset, we're talking about why being capable doesn't mean you have to do everything yourself, why productivity shouldn't simply mean squeezing more into your day, and how simplifying the small things can help reduce your mental load and create more work-life balance.  Because the goal isn't to become more efficient so you can do more.  The goal is to become more efficient so you have more room for the people, priorities and moments that matter most. 

Working more hours is not always the answer.Sometimes, exhaustion is a sign that the business is relying on the wrong person for the wrong work.In this episode of The Level Up Podcast, Paul Alex breaks down why burnout often points to broken leverage—and how delegation, automation, and better systems can help founders reclaim their time and focus.If the CEO is constantly buried in low-value tasks, the company eventually pays the price.Your highest-value work should be centered on decisions, strategy, and opportunities that move the business forward.In this episode, you'll learn:• Why extreme fatigue can signal a lack of leverage• How low-value tasks can steal time from higher-level CEO decisions• Why delegation and automation can multiply your output• How better systems create more mental bandwidth for growthThe truth is simple:You cannot scale by personally carrying every task.Audit where your time is going.Delegate what someone else can handle.Automate what software can repeat.Protect your attention for the decisions only you can make.The goal is not to work the most hours.The goal is to build an operation where every hour produces more value.Fix the math.Build the leverage.Create the freedom.Your Network is your NETWORTH!Make sure to add me on all SOCIAL MEDIA PLATFORMS:Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you:www.CashSwipe.comFREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com

Curious? Take The Free Money Stress Quiz!Ready? Buy Our Simplified Budget System Now!Check Out Katy's Podcast!Budget besties, life transitions have a way of bringing ALL the things at once.A move. A new baby. A job change. Kids going through a hard season. A surprise vet bill. A spouse retiring. A business changing.And somehow, while we're carrying all of that emotionally, we're also supposed to remember when the electric bill is due, how much is left for groceries, whether Christmas is funded, and where that random $500 expense is coming from.No thank you.

Join us in Clean Biz Network! https://www.cleanbiznetwork.app/Join this channel to get access to perks:   / @ajsimmonsonline  Schedule a 1 on 1 Consultation: https://calendly.com/ajsimmonsGet TubeBuddy to grow your YouTube channel! https://www.tubebuddy.com/pricing?a=a...Follow: @AjSimmonsOnline on Instagram   / ajsimmonsonline  Need Business Insurance? Click this link https://nextinsurance.sjv.io/Ea23K9Thank you for watching, subscribing, liking, sharing, and commenting!!!!

A six-figure income didn't save his marriage, so this investor rebuilt everything from scratch.Jason Wojo cleared six figures his first year flipping houses, and it still cost him his marriage. He ended up selling his house and living on an air mattress in one of his own rehabs. That collapse forced him to rethink how he ran his business entirely, and the result became his book, Business for Life. In this conversation, Jason and Jack talk through what financial freedom actually means, why hustle culture quietly wrecks the things that matter most, and the exact framework Jason now uses to automate and delegate his way to a business that fits his life instead of consuming it. If you're making good money but feel like you're losing ground everywhere else, this one is worth the full listen.Key topics:Redefining financial freedom for real estate investorsThe three-step freedom formula for defining your vision before you buildThe "heaven's gates" exercise for figuring out what actually mattersThe SEAD framework (Strategize, Eliminate, Automate, Delegate)Why house flipping often turns into a disguised jobGuest bio:Jason Wojo is a real estate investor, entrepreneur, and author of Business for Life: Building a Profitable Business That Gives You Your Time, Freedom, and Life Back. He holds two bachelor's degrees, a master's, and a PhD, and runs Life and Air, where he helps entrepreneurs build businesses around the lives they actually want.Links: Learn more from Jason at lifeanair.com

Physicians work nearly 58 hours a week, but only 27 involve actual patient care. The rest? Administrative tasks that do not align with why they went into medicine. For practice owners, this burden is yours to own, often by accident. In this SNACK episode, Miranda Dorta and Tracy Cherpeski break down the admin burden, explore the difference between moral distress and moral injury, and share the framework that works: stop, hand off to a person, or automate.  They tackle why delegation is where most practice owners fail, how to tell the difference between a task that is hard to let go of and one that genuinely needs your clinical judgment, and the three critical questions to ask before buying any new tool. Plus: why sometimes the answer is not automation at all, it is another human.  If you are a practice owner caught between knowing you should not be doing administrative work and feeling like you are the only one who can do it right, this conversation is for you.  Read the full show notes, memorable quotes, and key takeaways.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

If you're already booking the number of clients you want to work with, but it feels like you're spending so much unnecessary time behind the scenes, your systems and automations might need an update. In this episode, I sit down with Holly Birch to talk about what happened after she completely overhauled her HoneyBook workflows using automated systems.What's especially interesting about this conversation is that Holly wasn't starting from scratch. She already had templates, proposals, email sequences, and workflows in place. But she knew her systems could be more efficient, more professional, and more scalable. A year after implementing new automations, we're looking back at what's actually changed in her business, from booking studio headshots automatically to creating a completely hands-off client experience for brand photography sessions.We also talk about why switching CRMs isn't a decision to make lightly, how automation creates consistency, and why the ultimate goal isn't simply saving time—it's deciding what you want to do with the time you get back.Find It Quickly00:23 - Meet Holly01:42 - Choosing a CRM02:56 - Why Switching CRMs Is Hard03:58 - Holly Before the Toolkit06:24 - Commercial Workflow Gaps08:25 - Brand Shoot Automation Flow10:18 - HoneyBook Smart File Workaround11:30 - Headshots Offer and Lead Forms13:54 - Schedulers and Calendar Control17:08 - Discovery Calls and Contact Paths20:19 - Headshot Clients and Repeat Companies22:39 - Prep Guides and Automation Savings23:58 - Time Saved Per Client24:27 - Updating Your Prep Guide25:27 - Automation Timing Fixes26:19 - Next Systems To Build27:31 - HoneyBook Galleries Debate30:23 - Pic-Time Integration Tips32:32 - Reducing Digital Clutter34:27 - Why Templates Help36:01 - Systems Create Consistency38:17 - Annual Systems Audit41:56 - Biggest Process Logjam43:00 - What To Do With TimeMentioned in this EpisodeThe Systems Behind the Scenes: How Automation Buys Me Back Time for MarketingHoneyBookFlodeskDubsadoPic-TimeRebrand by Maddie PeschongConnect with the GuestWebsite: hollybirchphotography.comInstagram: @hollybirchphoto

In part one of our conversation with John Godlove and Piyush Agarwal, co-founders of Fusion Hive, we talked about starting with the workflow instead of the AI. Before choosing a model or building an agent, you need to understand the problem. You also need to understand the process, the data, and what you're trying to improve. In part two, we took that conversation further. We looked at what happens when you move from an AI demo into something a business actually depends on. That's when governance, data privacy, testing, guardrails, monitoring, and cost become much more important. Piyush made a comment that sums this up well. If your workflow is already broken and you throw AI at it, you're probably going to accelerate the chaos. About John Godlove and Piyush Agarwal John Godlove is co-founder of Fusion Hive and has more than a decade of experience helping organizations from startups to Fortune 500 companies build and deploy automation. His background includes work in the Salesforce ecosystem, AI, data, and technology implementation. Piyush Agarwal is co-founder of Fusion Hive and has more than a decade of experience in artificial intelligence and machine learning. His experience includes financial fraud detection, document intelligence pipelines, generative AI multi-agent architectures, and production machine-learning engineering. Together, John and Piyush founded Fusion Hive to bring enterprise AI and automation experience to small and mid-market businesses. Their approach focuses on practical workflows, measurable outcomes, governance, and production-ready AI systems. AI Has a Way of Exposing Problems You Already Had We've been talking all season about AI exposing the cracks in businesses and software development. This conversation was a great example of what we mean. Many businesses don't have perfectly documented processes. The official procedure may say one thing, while the person doing the job follows a slightly different process because they know what works. Sometimes that critical business knowledge isn't documented anywhere. It may be sitting in someone's head, buried in an email, or handled through an informal process. Humans are pretty good at filling in those blanks and making judgment calls. Software needs us to be much clearer about the rules. John explained that small and mid-market businesses don't always have mature governance structures. Regulated organizations tend to have more structure because regulations require it. Other companies may not discover these governance problems until they start looking seriously at AI. The AI project doesn't necessarily create the crack. It often shines a light on something that was already there. That can actually be a good thing. An AI project may force you to understand how your business really works. It can push you to document processes, identify ownership, and clean up your data. You may get significant value from that work before the first AI workflow ever reaches production. AI Governance Is Bigger Than AI When I asked John and Piyush about governance and protecting customer data, one thing became pretty clear. You can't treat AI governance as something that exists by itself. Your business already has systems, users, data, security policies, vendors, and access controls. The AI system has to live inside that environment. Piyush explained that Fusion Hive tries to work within the systems a customer already uses. They don't automatically introduce another platform. A business may already be heavily invested in Microsoft, Google, Azure, AWS, or another ecosystem. Those existing systems may already provide infrastructure that can support the new workflow. John added that internal IT departments and managed service providers also need to be part of the conversation. AI governance overlaps with data governance, cybersecurity, access controls, and existing policies. You can't build one without considering the others. I think that's an important way to look at this. AI may feel like an entirely new technology problem, but it's still another component in your business systems. You still need to know who can access information, where that information goes, and who owns the process when something fails. Know Where Your Data Is Going Data privacy becomes even more important once AI enters the conversation. Before connecting business information to a model, find out where that data goes and what happens to it. Does the provider retain it? Can the provider use it for model training? Does the platform provide the protections your business needs? Those questions become critical in healthcare, financial services, and other regulated environments. Piyush talked about cases where businesses may need specific configurations or agreements with providers. These protections can prevent providers from using company data for model training. He also pointed out that not every use case requires a frontier model. A smaller or open model may work for some problems. That option may also give the business more control over where and how it processes information. The exact solution depends on the business. The important thing is to ask these questions before implementation. You don't want to connect company data to an AI system and then ask where that information went. The Wrong Use Case Can Make AI Expensive Fast When I asked John and Piyush about mistakes they've seen businesses make with AI, John's answer wasn't some crazy technical failure. One of the biggest mistakes is simply choosing the wrong use case. A business leader hears that the company needs AI. Somebody gets a directive to "get AI live," and the team builds something impressive for a demo. But nobody defines what business metric the project should improve. John suggested working backward from the business outcome. Maybe you want to improve margins or reduce turnaround time. Maybe you want to shorten lead qualification or improve the lead-to-cash process. Once you know the target, you can trace that goal back to the workflows that influence it. This is where I think many AI projects can get into trouble. "We implemented AI" isn't a business result. If you don't know what you're trying to change, you may spend money without knowing whether the investment helped. You Need a Baseline Before You Can Measure ROI Of course, that creates another problem. Some businesses don't know how their existing processes perform today. They know people are busy and a workflow feels slow. But they haven't measured the time, exceptions, rework, or actual cost. John talked about measurements such as cycle time, quote turnaround, lead qualification, and lead-to-cash timing. Those numbers give you something to compare after you introduce automation. If a process took 40 hours before AI and takes 20 afterward, you have a measurable improvement. The same applies if errors drop or turnaround improves. Without a baseline, you're guessing. Six months later, you might have a cool AI system. But when somebody asks what it saved the company, the answer can't just be that everyone seems to like it. Don't Automate a Broken Process This is where Piyush made one of the strongest points of the interview. If the workflow is already broken, AI will accelerate whatever already exists. That includes the chaos. Bad data doesn't suddenly become good because an LLM reads it. Unclear ownership doesn't disappear because an agent performs the task. If nobody can tell you whether the result is correct, you're probably not ready to hand that process over to AI. Before you automate, you may need to clean the data or document the rules. You may need to fix the process or determine who owns the outcome. That work can slow down an AI project at the beginning, but I'd rather find those problems before production than after. This reminds me of what we see in testing and automation. Automating a bad test or a bad process doesn't make it better. It just lets you run the wrong thing faster and more often. AI gives us more capability, but that basic engineering principle hasn't changed. Evaluation, Guardrails, and Monitoring This was probably my favorite technical part of the conversation because it lines up with my testing and integration background. Piyush identified three areas that matter when moving an AI workflow toward production: Evaluation Guardrails Monitoring Before production, you need to evaluate the workflow against known data. Piyush described maintaining a holdout or "golden" dataset with known expected results. You can run the workflow against that data and check whether the system produces acceptable results. For developers and testers, this should sound familiar. We've been doing versions of this forever. Give the system a known input, define the expected output, run the test, and compare the results. AI changes how predictable some outputs may be. It doesn't remove the need to test them. In fact, I think AI's variability makes evaluation even more important. Put Guardrails Around What AI Can Do Testing the output is only part of the problem. Once an AI system can take actions, you need to decide what it's allowed to do. We've already seen examples of public-facing AI systems producing ridiculous results because nobody properly constrained them. Guardrails should define where the AI has authority and what requires validation. They should also define when the system needs to stop and ask for help. Some decisions may require deterministic rules, while others may need human approval. This is another place where I don't think we should look at the problem as AI versus humans. A better solution may combine AI, deterministic software, validation rules, and people. Give each part of the system the job it's actually good at. Deployment Isn't the Finish Line Piyush's third piece was monitoring. I think this will become increasingly important as more companies put AI into production. You don't test the system once, deploy it, and forget about it. You need to watch what happens after release. What questions are users asking? What does the system return? What new exceptions appear? Where does it get confused? Those production interactions can become part of the feedback loop that improves the system. That's not very different from what we've learned from building software for years. Production teaches you things your test environment never will. AI can make the behavior less predictable, which makes monitoring and ownership even more important. Don't Forget the People Using the System You can choose the right use case, design the right architecture, and test everything correctly. The implementation can still fail if nobody uses it. John talked about enablement and training as a critical part of the rollout. This becomes especially important when AI changes an existing business process. Employees need to understand what changed, how to use the new system, and why the organization made the change. You also need to deal with the obvious concern that employees may think AI is there to replace them. If that's what people believe, don't be surprised when adoption becomes difficult. We've dealt with change management in software projects forever. AI hasn't removed the human side of implementation. The Most Powerful Model Isn't Always the Right Model Our bonus conversation moved into another area that more businesses are starting to discover: running AI in production can get expensive. Most people first experience AI through ChatGPT, Claude, Copilot, or another chat interface. Production workflows can look very different. An agent might ingest emails, read PDFs, extract information, transcribe documents, and call other systems. Now imagine doing that thousands of times. John explained that businesses need to understand these cost drivers because AI expenses can vary much more than a traditional monthly SaaS bill. Piyush made another good point here. The biggest and most capable model isn't automatically the right model for every task. If you're doing a simple email summary, do you really need the most expensive frontier model available? Probably not. Route the Work to the Right Tool This brought us back to something we discussed in part one. Sometimes the right solution isn't AI at all. Piyush described task-based routing, where the system decides what capability a particular task needs. A simple request might go to a smaller model. A complex reasoning problem could go to a more capable model. A deterministic task might go directly to traditional code. This approach can improve cost, speed, and predictability. John also talked about making systems LLM agnostic. You don't want to lock an entire business process into whichever model happens to be popular today. This market moves incredibly fast, and today's best choice may not be the best choice a year from now. That's more than a technical architecture decision. If you're building something the business expects to run for years, you need to think about changes in pricing, vendors, and technology. Build for the Business, Not the AI Trend The biggest thing I took away from this second part of our conversation is that successful AI implementation looks a lot like good engineering. Understand the problem, know where your data comes from, establish ownership, and define the expected outcome. Then test the system, add controls, monitor production, and make sure the people using it understand the change. AI gives us some incredible new capabilities, but it doesn't make those fundamentals disappear. If anything, it makes the cracks more obvious when we skip them. Before you automate that next process, take a hard look at what you're actually automating. If the process is broken, the data is bad, nobody owns the outcome, and you can't measure success, AI probably isn't your first problem. Otherwise, you may not be automating your business. You may just be automating the chaos. Stay Connected: Join the Developreneur Community

What if the real risk of AI isn't that it takes your job — but that your company only ever uses it to cut costs?  In this episode of the Balancing Act podcast, Andy speaks with Dave Wright, Chief Innovation Officer at ServiceNow and co-author of Infinite: How Visionary Leaders Transform Today's Businesses into AI-Forward Companies.  Dave started out as a mainframe operator in the 1980s and has spent the last fifteen years helping enterprises rebuild how work actually gets done. His argument is that most AI implementations stall for a reason that has nothing to do with the technology — leaders reach for AI to automate the past rather than to create room to invent the future.  Tune in to episode 260 to hear why the handoffs between departments are where AI efficiency goes to die, what separates the companies getting real transformation from the ones that just get busier, and Dave's advice to the VP sitting on six months of pilots with nothing to show for them.  AndrewTemte.com

How does a traditional fine artist go from painting oil canvases in Scotland to pioneering Web3, augmented reality, and multi-million-dollar NFT drops? In this classic throwback episode of The Edge of NFT, host Josh Kriger sits down with world-renowned artist Trevor Jones.Trevor shares his unconventional journey from failing as a young bassist in Vancouver to studying fine art at Edinburgh College of Art in his 30s. He details his earliest experiments with hand-painted QR code canvases in 2012, his shift to augmented reality (AR) storytelling, and his early 2017 entry into Bitcoin.Discover the story behind his legendary Bitcoin Angel open edition drop, which grossed $3.2 million in seven minutes and how it funded his iconic, philanthropic Castle Parties. Trevor also reflects on collaborating with Web3 legends like Pak, Jose Delbo, and Alotta Money, while offering invaluable advice on maintaining authenticity and long-term vision as an artist.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comDouble your team's efficiency with COCO. Hire dedicated AI employees for copywriting, research, and CRM. Use code REF-W8CBVH for an exclusive 5% off your first order: https://coco.xyz/dashboard/hire/plan?ref=REF-W8CBVH Do you want to grow a business? Go from an idea to livebusiness in minutes. Use our Referral code: edgeof to 50% off your first month at https://www.willo.ai/When you purchase through these links, we may earn a commission. ____

AI is everywhere right now. Businesses are being told they need to adopt it, developers are being asked to build with it, and almost every software product seems to be adding some kind of AI feature or AI Workflow Automation. But just because you can put AI into a process doesn't mean you should. That was one of my biggest takeaways from our conversation with John Godlove and Piyush Agarwal, co-founders of Fusion Hive. Both have spent more than a decade working with automation, data, machine learning, and enterprise technology. What I liked about this conversation was that we weren't talking about AI as some magical solution. We kept coming back to something much more practical: understanding the problem, understanding the workflow, and then deciding where AI actually makes sense. About John Godlove and Piyush Agarwal John Godlove is co-founder of Fusion Hive and has more than a decade of experience helping organizations from startups to Fortune 500 companies build and deploy automation. His background includes work in the Salesforce ecosystem, AI, data, and technology implementation. Piyush Agarwal is co-founder of Fusion Hive and has more than a decade of experience in artificial intelligence and machine learning. His experience includes financial fraud detection, document intelligence pipelines, generative AI multi-agent architectures, and production machine-learning engineering. Together, John and Piyush founded Fusion Hive to bring enterprise AI and automation experience to small and mid-market businesses. Their approach focuses on practical workflows, measurable outcomes, governance, and production-ready AI systems. The Best AI Project Might Be the Boring One When most people think about an AI project, they tend to think about the flashy stuff. They want a chatbot, an agent, or something they can demo and say, "Look what our AI can do." John brought up a different type of project: the boring back-office workflows that nobody really wants to do. Think about someone receiving an email with a PDF attached, opening the document, finding a few pieces of information, entering that information into another system, and then doing the same thing again. Maybe they do it 20 times a day. Maybe they do it hundreds of times a week. John described these as "swivel chair" workflows. Employees are constantly moving between systems, re-entering information and turning unstructured data into structured data. These aren't exciting processes, but they can consume an incredible amount of time. That's exactly why they can be great automation candidates. If you can save five or ten minutes on something that happens hundreds of times, the value starts adding up pretty quickly. Not Everything Needs AI This was probably one of my favorite parts of the conversation because it goes back to something I've seen throughout my career in software development, integration, and testing. Sometimes you don't need AI. Sometimes you just need a script. Piyush made a great point about being deterministic where you can. If you're extracting something from a document and a regular expression, parser, Python script, or existing library can reliably do the job, why send it through an LLM? We've had these tools for years. They work, they're predictable, and they're usually cheap to run. The interesting part is figuring out where that deterministic approach stops working. Maybe you're dealing with text that needs interpretation. Maybe the documents aren't consistent. Maybe you're trying to understand intent or classify information that doesn't fit neatly into a set of rules. That's where AI may start making sense. The answer doesn't have to be traditional software or AI. A good system might use both. Build the Workflow First Piyush described their approach at Fusion Hive as workflow first, and I think that's an important distinction. Don't start by asking, "Where can we use AI?" Start by asking, "What are we actually trying to accomplish?" Walk through what people are doing today. Where does the information come from? Where does it go? Who touches it? What decisions are being made? Where are people wasting time? Where are mistakes happening? Once you understand that, you can start deciding which pieces should be automated. Some steps might be traditional software. Some might use AI. Some might disappear completely. And some may still need a human. That's a much different approach than dropping AI on top of an existing process and hoping it makes everything better. Human in the Loop Is Only Part of the Solution We've talked a lot this season about keeping humans involved with AI, but this conversation made me think about it a little differently. It isn't always just AI versus human. You may actually have three or four options for every step in the process: deterministic software, traditional automation, AI, or a person. The key is deciding which one makes sense for that particular task. A predictable data transformation probably belongs in code. A text-heavy classification problem might be a good fit for AI. A rare exception involving money, compliance, or an important business decision might still need a person. John also brought up something that is easy to overlook when you're designing these systems: the happy path isn't the whole workflow. What happens when something doesn't fit? Does another automation handle it? Does another AI agent look at it? Does it go to another department? Does a person need to review it? Those exceptions are part of the system too, and if you don't think about them before you automate the workflow, you're probably going to discover them the hard way later. Don't Automate a Process Just Because It Exists Another point John made really stood out to me. When you introduce AI or automation, you shouldn't automatically recreate every step of the existing process. He used the example of a law firm where documents might pass through several levels of review before eventually reaching a partner. If you build an AI-assisted process, evaluate it properly, and reach a point where you trust the output, maybe all of those intermediate approvals aren't necessary anymore. That's an important difference. You're not just asking: How do we automate this process? You're asking: What should this process look like now? I've seen this in software projects for years. Companies sometimes spend a lot of money automating a bad or outdated process. They end up doing the wrong thing faster. Before you automate something, make sure the process itself still makes sense. It Still Comes Back to Data At one point in the conversation, I joked that I kept bringing everything back to data. But after years of working with integrations, testing frameworks, healthcare systems, file parsing, and automation, it's hard not to. AI still needs data. If your information is scattered across emails, PDFs, spreadsheets, databases, and systems that don't communicate with each other, throwing AI at the problem doesn't magically clean that up. Piyush described the possibility of eventually creating an intelligence layer over that data—a kind of company brain where people can interact with business information through natural language. That's powerful, but the information still has to be accessible and usable underneath it. Sometimes the first step toward implementing AI isn't implementing AI at all. It might be cleaning up the data, connecting systems, building an integration, or finally automating a process that should have been automated years ago. And that's okay. You're solving the business problem, not trying to win an award for using the most AI. Six Signals That You May Have a Good AI Workflow Piyush gave us a practical framework for identifying a good first workflow. Instead of randomly picking an AI project, Fusion Hive looks for six signals. Volume: Does this happen often enough that saving a few minutes each time will actually matter? Repeatability: Does the process follow roughly the same pattern each time? Measurable cost or delay: Can you point to hours, dollars, turnaround time, or another metric that could improve? Accessible data: Are the inputs already available somewhere, such as a database, email, PDF, or form? Manageable exceptions: Are the unusual cases a small enough percentage that they can reasonably be routed to another process or a person? A clear owner: Is there someone who understands the outcome well enough to say whether the new process is actually working? I like this framework because none of those questions start with AI. They start with the business. How Will You Know It Worked? This is another area where businesses can get themselves into trouble. "We implemented AI" isn't a success metric. What changed? Did the process go from 60 hours a week to 40? Did turnaround time improve? Did the error rate drop? Did employees stop entering the same information into three different systems? Are people able to spend more time on work that actually requires their knowledge? If you don't know what you're trying to improve before you start, it's going to be difficult to prove that the AI actually helped. That also means you need a baseline. Understand what the process costs you today before you change it. Otherwise, six months from now, you may have a cool AI system and no idea whether it saved the business anything. Start With the Problem There is a lot of pressure right now to adopt AI quickly. I understand it. The technology is changing incredibly fast, competitors are talking about it, customers are asking about it, and nobody wants to feel like they're falling behind. But moving quickly doesn't mean you should skip the fundamentals. Understand the problem. Map the workflow. Find the data. Identify the exceptions. Figure out what can be deterministic. Decide where AI actually provides value. Determine where humans still need to be involved. Then decide how you're going to measure success. Then build it. That might not sound as exciting as "put AI everywhere," but it's much more likely to produce something that actually works. And sometimes the best AI project isn't the flashy one everyone wants to demo. It's the boring process everyone wishes they didn't have to do anymore. Stay Connected: Join the Developreneur Community

Today's guest will join the Restaurant Unstoppable Network for a live Q+A on August 3st, 2026 at 11AM EST. To join us and engage with all our guests and events, go to restaurantunstoppable.com/live -OR- to just catch today's guest, head over to restaurantunstoppable.com/cwe and we will get you a link to join that specific event for FREE! Meredith Tipping is the General Manager and Head of Marketing at The Boston Sail Loft, a longtime waterfront restaurant located on Atlantic Avenue in Boston's North End. She has helped lead the restaurant's operations, marketing, and business development since 2012, bringing a hands-on perspective to hospitality, guest experience, and the evolving Boston restaurant industry. Join RULibrary: www.restaurantunstoppable.com/RULibrary Join RULive: www.restaurantunstoppable.com/live Set Up your RUEvolve 1:1: www.restaurantunstoppable.com/evolve Subscribe on YouTube: https://youtube.com/restaurantunstoppable Subscribe to our email newsletter: https://www.restaurantunstoppable.com/ Today's sponsors: - Hermetic.ai  - Private event leads die in inboxes every day. Mia fixes that. She's an AI agent that responds within seconds, handles the back-and-forth, and fills your event calendar — automatically. Fully integrated in under 10 minutes. Head to hermetic.ai and put her to work. https://www.hermetic.ai/ - Hotshift - Hotshift is the all-in-one tool built by a restaurant owner, for restaurant owners. Scheduling, hiring, training, reviews — one roof, one login. Plusreal-time labor cost forecasting before the shift ever starts. Head to hotshift.pro/unstoppable. - Restaurant Technologies — the leader in automated cooking oil management. Their Total Oil Management solution is an end-to-end closed loop automated system that delivers, monitors, filters, collects, and recycles your cooking oil eliminating one of the dirtiest jobs in the kitchen.. Automate your oil and elevate your kitchen by visiting rti-inc.com or call 888-779-5314 to get started! - US Foods®. Running a restaurant takes MORE than great food—it takes reliable deliveries, quality products, and smart tools. US Foods® helps you make it. Ready to level up? Visit: usfoods.com/expectmore. - Today's guest recommends:  US Foods Toast BentoBox Guest contact info:  Website: https://www.thebostonsailloft.com Instagram: @bostonsailloft Thanks for listening! Rate the podcast, subscribe, and share! 

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Everett Swain.

More money does not automatically mean more freedom.If your business owns every hour of your day, you have simply traded one demanding job for another.In this episode of The Level Up Podcast, Paul Alex breaks down why true wealth is measured by autonomy—and how entrepreneurs can use revenue to buy back their time instead of constantly upgrading their lifestyle.Luxury can look like success.But if maintaining that lifestyle forces you to accept bad clients, work every weekend, and sacrifice control of your schedule, the cost is higher than it appears.In this episode, you'll learn:• Why autonomy can be a better measure of wealth than material possessions• How lifestyle inflation can quietly trap entrepreneurs in more work• Why profits should be used to hire, automate, and build leverage• How recurring revenue and strong systems can create greater control over your calendarThe truth is simple:Your business should serve your life.Use the money to buy back your hours.Hire the right people.Automate what can be automated.Build systems that allow the company to operate without demanding your constant presence.The ultimate flex is not what you own.It is owning your time.Your Network is your NETWORTH!Make sure to add me on all SOCIAL MEDIA PLATFORMS:Instagram: https://jo.my/paulalex2024Facebook: https://jo.my/fbpaulalex2024YouTube: https://www.youtube.com/channel/UCGhDAD1JyGGzSQUPD9lc9HQLinkedIn: https://jo.my/inpaulalex2024Looking for a secondary source of income or want to become an entrepreneur? Check out one of my companies below to see if we can help you:www.CashSwipe.comFREE Copy of my book “Blue to Digital Gold - The New American Dream”www.officialPaulAlex.com

What happens when legendary venture capital investors and pioneering media entrepreneurs replace traditional studio infrastructure with AI digital twins? In this throwback episode of our Edge of AI Podcast, host Ron Levy sits down with Tim Draper and Mark Scarpa.Mark breaks down how Defiance.TV operates as the first AI-powered television network, utilizing digital twins, automated script writing, AI fact-checking, and decentralized IPFS blockchain distribution to maintain journalistic integrity across 160 million households. Tim shares how his own AI doppelganger on Draper TV broadcasts daily news updates on several hundred portfolio companies in up to 22 native languages, surprisingly serving as his own daily intelligence briefing.Discover Tim Draper's vision for decentralized governance using AI to streamline bloated government bureaucracies, aligning performance incentives with GDP growth, and why Bitcoin and blockchain ledgers will eliminate modern accounting and auditing friction.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comDouble your team's efficiency with COCO. Hire dedicated AI employees for copywriting, research, and CRM. Use code REF-W8CBVH for an exclusive 5% off your first order: https://coco.xyz/dashboard/hire/plan?ref=REF-W8CBVH Do you want to grow a business? Go from an idea to livebusiness in minutes. Use our Referral code: edgeof to 50% off your first month at https://www.willo.ai/When you purchase through these links, we may earn a commission. ____

Ep. 445 Everybody online is telling you that the only marketers who will survive in the AI era are systems builders. But what does that even mean—and how do you actually build your own AI-powered marketing system? Kieran dives into the essential starting stack every marketer can implement to become a systems builder and thrive with AI. Learn more on the key layers of a marketing AI system, how to create a personalized intelligence layer that powers your skills and plugins, and the tools you can use to automate your workflow, scale yourself across your team, and stand out with a differentiated product story. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book Claude https://claude.ai/ ChatGPT https://chatgpt.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/@matgpod Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg  Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Everyone knows the Idaho murders. Tonight, you meet Kaylee's mother. Kristi Goncalves is the one who got the knock on the door ... the one who asked the deputy if the other girl was Maddie, her daughter's best friend. Tonight, she tells her story in her own voice: the online trolls who wounded her most, the plea deal her family fought, and the moment she looked her daughter's killer in the eye and told him hell would be waiting. But this isn't only a story about loss ... it's about what she built from it. In her darkest days, a stranger started sending her cards, one mom to another. Out of that friendship, Kristi and retired cop Tracie Brocco ... two women who've never met in person ... created Murder Has a Name, funding the same DNA technology that caught Kaylee's killer for the cold cases that can't afford it. Because as Kristi says: "Getting that name ... this is who did this to your child ... it's everything.”For more information about The Kaylee Goncalves Foundation & Murder Has a Name: https://www.murderhasaname.com/Sponsored by:Preserve Gold: Get up to $20,000 in FREE Gold & Silver with a qualified purchase. Text ASKPHIL to 50505 or visit https://DrPhilgold.comHighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Summer of AI Is Here! Get 5 FREE AI Tools All Summer Long. Visit: https://DrPhil.com/Business and get your life back on track.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dr. Phil and Robin McGraw celebrate their 50th wedding anniversary with one of their most personal conversations ever, sharing the love, laughter, struggles and surprising stories behind five decades of marriage. From Robin knowing it was love at first sight and asking Dr. Phil about marriage almost immediately to starting out with little money, raising Jay and Jordan, building a family and eventually creating the Dr. Phil show together, they look back at the moments that shaped their life. They also confront years of Dr. Phil and Robin divorce rumors, including the outrageous claim of a $400 million settlement, and explain why those headlines never reflected their real marriage. Most importantly, Dr. Phil and Robin reveal what they believe is the secret to a 50-year marriage: deciding early what kind of marriage they wanted, honoring those commitments and continuing to grow together through every stage of life.Sponsored by:Get up to $20,000 in FREE Gold & Silver with a qualified purchase. Text ASKPHIL to 50505 or visit https://DrPhilgold.comHighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Summer of AI Is Here! Get 5 FREE AI Tools All Summer Long. Visit: https://DrPhil.com/Business and get your life back on track.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A father just became the first parent in America convicted of murder for his son's school shooting. Colin Gray gave his 14-year-old son an AR-15 for Christmas — and ignored every warning sign along the way. Now he's facing 15 years in prison. Dr. Phil breaks down the Apalachee High School case, and the pathway to violence researchers have identified over decades of study.The warning signs almost every school shooter shows:- Early childhood trauma that goes unresolved- A visible crisis point — a noticeable change in behavior from their baseline- A growing obsession with studying past shooters- Telling someone their plans, almost always a fellow student, before it happens- Access to an unsecured weapon at home- Prior contact with law enforcement that went nowhereDr. Phil walks through what happened in Georgia, what law enforcement already knew, and why these same red flags keep showing up case after case — and keep getting missed. No spin. No BS. Just what every parent needs to know before the next tragedy.Sponsored by: Sponsored by HighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Summer of AI Is Here! Get 5 FREE AI Tools All Summer Long. Visit: https://DrPhil.com/Business and get your life back on track.Sponsored by: Don't wait! If you're on Medicare or will be soon, reach out to Chapter: Call: (352)-845-0659 or go to https://askchapter.org to learn about your Medicare options and get help finding ways to save money.

Austin Metcalf became a symbol. His father wants you to remember the son.When 17-year-old Austin Metcalf was stabbed to death at a Texas track meet, the case exploded into a national fight over race ... and the boy at the center of it got lost. Dr. Phil sits down with Austin's father, Jeff, on grief, forgiveness, and the noise that swallowed his son's story, joined by community advocate Dr. Bruce Carter, who sees the case very differently and became Jeff's unlikely friend anyway. Sponsored by:HighLevel: If you own a small business, don't skip this. Reclaim your life. Automate your business. Transform your overwhelmed business into an automated powerhouse in just minutes. Summer of AI Is Here! Get 5 FREE AI Tools All Summer Long. Visit: https://DrPhil.com/Business and get your life back on track.Get up to $20,000 in FREE Gold & Silver with a qualified purchase. Text ASKPHIL to 50505 or visit https://DrPhilgold.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.