Podcasts about automating

What happens when an AI agent follows your documented process perfectly, but that process bears little resemblance to how decisions are actually made? In this episode, I speak with Bill Wilson, Executive Head of Data and AI Solutions at NTT DATA UK&I. Bill oversees AI globally for NTT DATA's public sector work, giving him a close view of how governments are using AI while trying to manage risk, accountability, public confidence, and constrained resources. Bill offers a refreshingly practical test for any proposed AI system: is it competent, and what is the worst thing that could go wrong? He describes this potential consequence as the system's "blast radius." An AI assistant helping somebody understand a grant application presents a very different level of risk from an agent making decisions that affect employment, justice, taxation, or access to public services. We also discuss why companies can make a mistake before deploying their first agent. Automating an inefficient process simply allows the organization to perform the wrong work faster. Bill argues that teams should examine complete workflows, identify where several AI capabilities could produce a measurable result, and remain prepared to redesign the process as they learn. Another major problem is tacit knowledge. Employees frequently make decisions using experience that was never written down. An agent trained solely on formal documentation may therefore understand the official process while missing how the work gets done in practice. Bill explains how targeted questions, behavioral traces, feedback, and supervised learning could capture some of that reasoning. Public sector AI provides several useful examples. Bill discusses systems that process volumes of information beyond human capacity, emergency response work in Tennessee, and case management applications that gather information before a human reviews it. In these situations, AI can reduce administrative work and waiting times while leaving consequential decisions with people. But human approval alone provides no guarantee. If employees lose direct experience of the work, they may eventually approve whatever the system recommends. Bill compares this with airline pilots maintaining manual flying skills and describes how known test cases can reveal when reviewers are becoming overly trusting. For CIOs deciding which AI pilots should reach production, the advice is equally direct: choose work with measurable returns, group related use cases where their combined effect can be seen, learn from a varied set of deployments, and avoid building something a software provider is about to include in an existing product. As AI agents gain access to external information, internal data, and operational tools, how should your organization decide what they may do alone and when a person must intervene? Listen to the conversation and share your thoughts with me.

Your customer database might be worth more than you think.In this episode of Owned and Operated, John Wilson sits down with Faraday founder Alex Coleman to break down how home service companies can turn the data they already collect into better marketing, smarter dispatching, and more replacement opportunities.They cover how Wilson uncovered millions of dollars in opportunities hidden inside old customer records, why equipment data becomes increasingly valuable as a contractor scales, and how back-office automation can tackle permits, warranties, rebates, and other processes that often fall through the cracks.John and Alex also dig into AI in the trades, where automation is actually useful, why AI still needs a human in the loop, and why contractors should think twice before building their own software instead of focusing on the core business.━━━━━━━━━━━━━━In This Episode━━━━━━━━━━━━━━• How old customer data can uncover millions in replacement opportunities• Why equipment age matters for marketing and dispatch• Turning service calls into long-term marketing assets• Using existing customer databases to drive more revenue• Automating permits, warranties, rebates, and back-office work• Why rebates can become a major source of missed profit• How data becomes more valuable as a home service company scales• Where AI is overpromised in the trades━━━━━━━━━━━━━━Connect━━━━━━━━━━━━━━John Wilsonhttps://www.linkedin.com/in/johnbwilson1/Alex Coleman / Faradayhttps://www.faraday.so/https://www.linkedin.com/company/faraday-ai/Owned and Operatedhttps://www.ownedandoperated.com/━━━━━━━━━━━━━━Sponsors━━━━━━━━━━━━━━Profit & GritRunning a $3M–$15M home service business? Profit & Grit helps contractors improve cash flow, pricing, forecasting, and profitability with guidance from an operator who's built and sold a $25M service business. Book your free 20-minute strategy call: https://www.profitandgrit.comSend Us Mail!More Ways To Connect with O&OJohn's Podcast YouTube ChannelOwned and Operated Newsletter Bonus Videos From JohnLeave a ReviewJohn Wilson, CEO of Wilson CompaniesJack Carr, CEO of Rapid HVAC

Join the Millionaire University AI Mastermind at ⁠⁠⁠⁠⁠MillionaireUniversity.com/AI⁠⁠⁠⁠⁠ #1051 What really makes a business profitable — better technology, or simply getting your team to execute the fundamentals? In Part 2 of this two-part episode, host Brien Gearin continues his conversation with Ryan Wimpey about scaling Tip Top K9 and using AI, automation, and virtual assistants without losing sight of the numbers that actually matter. Ryan explains why he still prefers humans for emotionally driven sales calls, where AI agents could soon make sense, and how his custom software will help automate everything from scheduling to commission and sales reports. He also pulls back the curtain on the Tip Top K9 franchise model, including its $48,000 franchise fee, six-week training program, and average annual revenue of more than $600,000 for locations open a full year. Plus, Ryan shares one of his biggest lessons for new entrepreneurs: set clear expectations, coach your people to meet them, hold them accountable, and don't be afraid to make the hard personnel decisions when they don't! What we discuss with Ryan: + AI agents for customer calls + Automating repetitive franchise tasks + Building a custom CRM + Focusing on profit-driving metrics + Holding teams accountable + Tip Top K9's franchise model + $600K+ average unit revenue + Starting without dog training experience + Franchise vs. starting from scratch + Hiring and managing employees Thank you, Ryan! Check out Tip Top K9 at ⁠TipTopK9.com⁠. Follow Ryan on ⁠Facebook⁠ and ⁠YouTube⁠. 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

Are you prepared for the busy season, or are you headed straight for burnout? In today's episode, I'm chatting with photographer and business coach Emily Woodall Gbadamosi about the 3 systems you can set up now to give yourself an easier fall season. Plus, we share what a difference these systems have made in our businesses.The Shoot It Straight Podcast is brought to you by Sabrina Gebhardt, photographer and educator. Join us each week as we discuss what it's like to be a female creative entrepreneur while balancing entrepreneurship and motherhood. If you're trying to find balance in this exciting place you're in, yet willing to talk about the hard stuff too, Shoot It Straight Podcast is here to share practical and tangible takeaways to help you shoot it straight.This episode is brought to you by More Money, Less Burnout, a 14-day business reset. Each day includes short audios plus one tiny action step to help you create more income, better boundaries, and some breathing room in your business. Grab the free reset today! Review the Show Notes: Meet Emily (1:20)What fall looks like without systems (3:04)When Emily realized she needed systems (6:27)Create a consistent booking process (11:51)What to tackle first in your booking process (18:41)How long it takes to get your booking process ready to go (22:07)Have an AI editing system (23:55)Automating your communication after the session (34:28)Why photographers avoid boundaries (40:39)Deciding on your capacity and time boundaries (47:16)Where to start now on building your systems (55:45)What busy season looks like when you have systems (57:58)Mentioned in this Episode:More Money, Less Burnout: sabrinagebhardt.com/business-resetSabrina's Imagen AI affiliate link: imagen-ai.com?ref=sabrinaSabrina's Dubsado affiliate link - save 20%: dubsado.com/?c=sgplovesdubsadoConnect with Emily:Website: woodallcreative.coInstagram: instagram.com/woodallcreativecoSystems Style Quiz: woodallcreative.co/systems-style-quizEmily's Honeybook affiliate link: share.honeybook.com/emilywoodallphotoConnect with Sabrina:Website: sabrinagebhardt.comInstagram: instagram.com/xo.sabrinagebhardtTikTok: tiktok.com/@xo.sabrinagebhardt Hosted on Acast. See acast.com/privacy for more information.

“The bottleneck isn't really having ideas; the bottleneck is execution,” Gautier Cloix, CEO of H Company, tells Bloomberg Intelligence Senior Technology Analyst Anurag Rana. “What we do is basically [make] execution infinite so we can focus on intention and ideas and strategy.” In this episode of Tech Disruptors, the pair discuss how computer-use agents can operate enterprise software through existing user interfaces, enabling companies to automate workflows without first rebuilding, migrating or integrating their technology stacks. Cloix also explains why H Company combines specialized, lower-cost models with forward-deployed engineers to target measurable ROI, turning legacy software into an asset and creating an execution layer across disconnected enterprise systems.

We're diving back into the vault today to bring you a foundational episode on one of my favorite ADHD strategies: Automation. We all know the struggle—if it's interesting, we're all in. If it's boring? It's nearly impossible to start. Because so much of "adulting" is inherently repetitive, automation allows us to frontload our work so our "future selves" don't have to rely on willpower alone. Top Tips from this Rebroadcast: Frontload your effort: Save time and brainpower by making decisions once and letting tech handle the rest. Systematize first: Learn why reducing steps in a task is often more important than the gadget you use to do it. Automated Accountability: How to let your teammates know you've finished a task without having to remember to send that "done" email. Smart Home, Clear Mind: Exploring the possibilities of smart speakers and sensors to keep your household running on autopilot. Support the show on Patreon Find the show notes at HackingYourADHD.com/automation

The United States is on track to win the AI race — and hollow itself out in the process, says Gina Raimondo, former Governor of Rhode Island and US Secretary of Commerce. In this unflinching look at the threat of AI-induced economic disruption and social unrest, she offers a concrete blueprint to prepare workers for what's coming next. "AI is a 100-year technology and needs a 100-year response," she says. Is America up to the challenge? After, Modupe talks about why people shouldn't be punished for taking time to find new ways to work. Hosted on Acast. See acast.com/privacy for more information.

Can organizations trust an AI recommendation when they cannot understand the evidence, relationships, and previous decisions behind it? In this episode of Tech Talks Daily, I welcome back Jim Webber, Chief Scientist at Neo4j, to discuss the company's acquisition of GraphAware and its move from graph database provider to graph intelligence platform. GraphAware has worked with Neo4j for many years and developed Hume, an intelligence analysis platform used to connect and examine complex information. Bringing the two companies together gives Neo4j a direct role in applications serving police forces, governments, intelligence agencies, and other organizations handling connected data. Jim explains why context has become one of the biggest requirements for dependable AI. Enterprises already possess enormous volumes of data, but facts alone provide endpoints rather than the complete path leading to a decision. An agent needs to understand the knowledge available, the conversation taking place, and the record of previous decisions. It also needs to know which actions produced good outcomes and which produced poor ones. Jim compares these information layers to SimCity. Each can be viewed separately, but their greater value appears when they are combined. Knowledge, conversations, and decision traces can then help an agent understand why something happened and learn from the result. This introduces an interesting lesson from scientific research. Positive outcomes are frequently published, while failed experiments receive less attention. An AI agent needs both. Recording the breadcrumbs behind good and bad decisions provides the material required to improve its future behavior. We also discuss why large language models cannot understand every organization by themselves. Jim describes a model as a lossy compression of the internet. It can generate impressive natural language, but it does not automatically understand a company's policies, customers, history, evidence, or operating environment. Retrieval augmented generation can introduce relevant organizational information into the process. Graph RAG adds relationships between facts, helping the system understand how people, events, products, accounts, and other entities connect. According to research Jim references from the National Innovation Centre for Data, Graph RAG can improve accuracy while reducing costs by using fewer, higher-quality tokens. Explainability becomes especially important when AI supports decisions across policing, cyber defense, taxation, intelligence, banking, and government. A fluent answer may sound authoritative while containing a serious technical mistake. Jim shares an example from his own work where an agent confidently warned him about a "committed minority" inside a fault-tolerant computing protocol. The statement sounded plausible, but only a majority could commit within that protocol. Someone without Jim's technical knowledge might have accepted the recommendation and removed working code. This leads us to human oversight. Jim argues that the correct level depends on the consequences of the action. Automating a routine banking process with monitoring and safeguards may improve the customer experience. Ordering someone's arrest based solely on an agent's conclusion demands human involvement. We also consider digital sovereignty and why control over data has become a strategic concern for governments and large enterprises. Geopolitical instability, overseas technology dependencies, privacy requirements, and changing national policies are forcing leaders to ask where their data resides and whether they can retrieve or move it. Jim explains how Neo4j intends to offer organizations flexibility over where their information is stored and how it is deployed. The discussion also examines the opportunity for Neo4j and Hume to provide an alternative within a market where Palantir has held a powerful position. Looking ahead, Jim imagines intelligence analysts directing swarms of digital agents. Those agents could search data, connect evidence, identify relevant patterns, and present findings while humans retain responsibility for consequential decisions. If AI can connect information at machine speed, how do we ensure the person making the final decision can inspect the evidence and challenge the conclusion? Listen to the episode and share your thoughts with me.

Mike coaches a struggling Pilates studio owner on phone sales live: avatar building, referral strategy, and a real walk-in prospect. This pilates studio sales coaching session picks up where Part 1 left off. In Part 1, Mike walked through Jess Landar's churn, lifetime value, and pricing. In Part 2, they build her customer avatar, run a full gym sales role play on her actual phone script, and design a gym referral program built around feeding children. Halfway through filming, a real prospect walked into Jess's studio while the cameras were rolling. Mike coached her through that conversation live, in real time. It has never happened on this podcast before. The gym membership sales tips in this pilates studio sales coaching session are not Pilates-specific. The same principles for how to sell gym memberships, plant a belief before price ever comes up, and control a sales call apply to any boutique gym. This is Part 2 of a continuing series. Jess has 30 days of ads running before she and Mike reconnect for Part 3. In this episode you'll learn: — The exact way to build a customer avatar most gym owners skip — A full gym sales role play using Jess's real phone script, line by line — What happened when a real prospect walked into the studio mid recording — How to plant a belief before a prospect ever asks about price — The moves that control a sales call instead of getting steered by it — A gym referral program built around feeding children instead of a discount — The welcome gift bag move that gets new members texting back after their first class — Why customer acquisition cost matters more than cost per lead — How to turn a low priced trial into a full membership without extra ad spend — The AI assistant setup Mike uses to manage ads, CRM, and follow up — The homework and 30 day timeline before Part 3 If you have ever fumbled a walk-in prospect or lost control of a sales call, this live session shows you exactly what to do differently. Timestamps: — 0:00 Welcome back for Part 2 — 4:54 Building Jess's avatar, meet Brenda — 10:05 Finding Brenda's biggest insecurity — 12:17 The fishing analogy for hooks, lines, and offers — 17:46 How many members her studio can actually hold — 24:31 Live roleplay: selling the $39 trial over the phone — 29:41 Planting a belief before the close — 32:04 Finding out how ready a lead really is — 41:12 The VIP referral pass strategy — 45:33 Amateurs add, professionals multiply — 49:39 The double call and video text combo — 1:00:26 Why customer acquisition cost matters more than cost per lead — 1:08:39 Designing a scarier, higher converting offer — 1:16:05 What value stacking actually means — 1:19:20 Setting up an AI assistant to run the business — 1:21:29 Automating follow up with Go High Level Connect with Jess Landar: Instagram: https://www.instagram.com/thereformerlibrary 100K Plan: https://www.youtube.com/watch?v=uMPx7b3_LOA Behind Gym Doors Podcast Playlist: https://www.youtube.com/playlist?list=PLnwaMl7Us7dAkfE6idQW56EYkEEQ2E5eE Go High Level (CRM Mike uses and recommends): https://www.gohighlevel.com/?fp_ref=gsd-company11 Viktor AI Assistant (referral credit link): https://ref.viktor.com/mike-arce Mike builds Jess's entire offer and sales script live, the same way GSD Gyms helps studios everywhere sell what they already have. The plan behind how we get gyms to $100K a month is right here. Turns out a $39 trial can do a lot of talking.

Jacob Kosior has over ten years of experience in the multifamily housing industry, spanning operations, marketing, and centralization efforts across conventional, student housing, affordable housing, and build-to-rent communities. He previously served as Vice President of Centralized Services at Cardinal Group Management and has held leadership positions with BH Management, The Dinerstein Companies, and CA Ventures. In 2022, while founding a centralized services team at Cardinal Group, Jacob began testing AI tools across the housing space and co-developed a delinquency AI product for rent collection with the EliseAI team. Today he is at EliseAI, where he works with operators of all sizes to implement AI tools, manage the change required for the technology to stick, and rethink how work gets structured across a portfolio. In this episode, Jacob Kosior breaks down how multifamily operators are actually deploying AI, where to start, and what agentic AI changes about the way workflows get built. Drawing on a decade in operations before moving to the technology side, Jacob explains why leasing is the natural entry point, why speed is becoming the metric that matters more than conversion rate alone, and why owners who call their own properties tend to misjudge voice AI. He and John also work through the harder question operators face once automation is in place: what the human team should be doing instead.     Make sure to download our free guide, 7 Questions Every Passive Investor Should Ask, here.     Key Takeaways Start with leasing, where the tasks are repetitive and already documented Build AI workflows on the same follow-up cadence you train your onsite teams on Track speed alongside conversion rates, because faster cycles compound Decide where human touchpoints serve the customer, not just the org chart Redeploy the hours AI frees up into experience or revenue generating work Ask questions early, since lacking internal AI talent is the most common barrier     Topics From Operations to the Technology Side Jacob spent over a decade in multifamily operations before moving into AI Founding a centralized services team at Cardinal Group in 2022 pushed him to demo every tool available He co-developed a delinquency AI tool and a centralized call center product with EliseAI before joining the company What Agentic AI Actually Changes Generative AI answers prompts; agentic AI follows a workflow toward a defined goal Goals map to work teams already do: book the tour, collect the rent, sign the renewal Operators now control the steps the AI follows, mirroring how they train staff onsite Why Leasing Is the Place to Start Leasing represents the repetitive, high-volume work teams handle every day The old five point follow-up has become 8 to 9 touches per prospect to convert AI works the weekend leads so agents start Monday on tours instead of backlog Who EliseAI Serves The platform crossed 6 million units earlier this year, roughly 1 in 6 US apartments Clients range from top 50 operators to regional operators with a few hundred units Over a billion AI conversations give the platform context on industry edge cases Speed as the Metric Owners Miss The industry tracks conversion rates closely and speed almost not at all A 20% lead-to-tour rate achieved in two hours beats the same rate in two days An assistant manager calls one delinquent resident at a time; AI calls the building Faster cycles give owners earlier visibility into collections, renewals, and leasing velocity Rethinking the ROI Question Operators who never calculated the ROI of a leasing agent struggle to value the AI doing that work The 2025 conversation was about ROI; the 2026 conversation is about creating value Freed capacity opens the door to restructuring teams, not just cutting tasks Deciding Where Humans Step In Human Touch Automations let operators choose where staff enter the customer journey One example is a personal call two hours before a scheduled tour The test is whether the customer wants that touchpoint, not whether the team is used to it Automating administrative work finally gives teams room to deliver the service they advertise The Voice AI Misconception Owners calling their own properties judge voice AI against old press-one phone trees Consumers using AI daily are increasingly comfortable talking to it on the phone Voice AI routes callers to the right person instead of forcing them through a menu Regional dialects lifted both engagement and tour bookings in beta testing What Voice AI Replaces After-hours answering services and overflow call centers become optional Call scoring rates every leasing agent call against a rubric, replacing quarterly mystery shops Self-learning feeds those conversations back into the AI to improve automation rates    

What happens to tomorrow's leadership pipeline when employers automate the entry-level tasks through which beginners learn? In this episode of Tech Talks Daily, I speak with Gary Flowers, Chief Information Officer for Transformation and Technology Services at Year Up United, about AI fluency, human skills, economic mobility, skills-first hiring, and the future of entry-level work. Year Up United prepares young adults without bachelor's degrees for meaningful careers while helping employers reach skilled, career-ready talent. Gary says the organization has over 35,000 alumni working across companies ranging from the Fortune 1000 to the Fortune 50. Gary challenges the assumption that younger workers will automatically understand AI because they grew up with technology. Access to a chatbot does not create workplace readiness. Young adults also need training, support, ethical awareness, judgment, communication, adaptability, and experience applying tools to real business problems. He argues that AI may redefine entry-level work rather than eliminate it entirely. Candidates who understand how to work with AI may gain an advantage over those who do not, but employers must also reconsider which tasks beginners need to develop business knowledge and professional confidence. We discuss the risk of another technology divide. AI could widen economic opportunity, but unequal access to tools, training, mentorship, and workplace experience could reinforce existing inequalities. Gary believes organizations must teach workers when AI should be used, rather than limiting training to what the technology can do. Year Up United combines AI fluency with workplace and career readiness. Gary describes its 17 durable skills, six-month curriculum update cycle, close employer feedback loops, and participation as an inaugural host partner in Anthropic's Claude Corps Fellowship program. For employers, one of the hardest decisions involves balancing immediate efficiency with future capability. Automating junior work may reduce costs today while weakening the pipeline of experienced professionals and leaders required later. Gary recommends creating a culture of continuous learning, supplying employees with appropriate tools, building communities of practice, sharing successful use cases, and treating AI as a company-wide responsibility. He also distinguishes between AI as a workforce skill and AI as an organizational capability capable of changing how functions operate. Can employers capture the value of AI while preserving the career pathways that allow inexperienced workers to become tomorrow's experts and leaders? Listen to the episode and share your thoughts.

In this episode of Loaded and Rolling, host Thomas Wasson sits down with Greg Akselrod, Chief Technology Officer at Outpost. They dive deep into the often-overlooked world of yard management, exploring how modern technology, AI, and computer vision are revolutionizing traditional gate operations and check-in workflows. ⁠Follow the Loaded and Rolling Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Watch the YouTube version of this episode HEREIn this episode of the Maximum Lawyer Podcast, Tyson sits down with Wouter IJgosse, founder of Decision Vault, to talk about one of the biggest hidden time drains inside law firms: collecting client information.Wouter shares how watching his wife manage an estate planning client with 37 beneficiaries exposed just how inefficient traditional intake can be. From information scattered across PDFs, emails, and meeting notes to endless copy-and-paste work, they break down how better workflows can save time, reduce errors, and create a smoother client experience.They also dig into where AI actually helps, where the hype falls short, why all-in-one legal software may not be the answer, and how law firms can start thinking more like product companies when building their systems.Listen in to hear how Wouter is rethinking client intake, AI, and legal tech to create better workflows for both law firms and their clients.What You'll LearnHow a client with 37 beneficiaries exposed major inefficiencies in traditional legal intake.Why integrations do not solve the problem if your firm cannot collect structured client data in the first place.Where AI can actually improve law firm workflows and where it may create more work.Why Wouter believes the “all-in-one” software platform is often the wrong goal.How better client data can reduce double entry, errors, and time spent chasing information.Why AI still needs humans to create the instructions, guardrails, and final review.Timestamps00:00 — How 37 beneficiaries led to the idea behind Decision Vault04:00 — The legal workflows lawyers accept simply because “that's how it's done”06:30 — How AI is speeding up software development and product experimentation10:45 — The problem with trying to build an all-in-one legal platform15:30 — What Decision Vault actually does for law firms and their clients21:40 — Why intake is really a client experience, data, and workflow problem23:35 — Automating client follow-up and reducing the need to chase information29:25 — What's next for Decision Vault, including family law and AI workflows32:10 — Why AI-powered intake can sometimes be slower than a traditional form34:20 — Using AI to extract information from documents and handwritten forms37:00 — Automating estate planning diagrams and reducing manual data entry39:50 — The future of AI, legal software, and human judgmentConnect with Wouter IJgosse:LinkedinFacebookEmail

The Narrative Conversion Engine: Hollywood Storytelling Mechanics, Organic Search, and Automated CRM Architecture with Drew DorenfestIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Drew Dorenfest, the Founder of Client Magnet CRM, to examine how business leaders can apply high-stakes entertainment marketing principles to eliminate client acquisition friction. Drew, a former Hollywood trailer editor turned technology founder and growth consultant, details his strategic transition from editing blockbuster film campaigns to building automated lead-generation engines for local service enterprises and mid-market firms. This conversation delivers an intentional blueprint for business owners who want to refine their core messaging, build compounding organic search authority, deploy automated email workflows, and convert customer reviews into predictable local search dominant rankings.The Narrative Conversion Engine: Hollywood Storytelling Mechanics, Organic Search, and Automated CRM ArchitectureThe fundamental error made by many scaling small businesses and professional service providers is relying on volatile social media algorithms or disruptive cold outreach to drive sustainable revenue growth. Drew Dorenfest explains that earning customer attention in a crowded digital marketplace requires applying cinematic storytelling mechanics—condensing complex value propositions into clear, high-impact hooks that communicate brand differentiation within the first five seconds of a site visit. Rather than interrupting passive users on social feeds, business leaders must focus their capital on capturing high-intent search traffic via search engine optimization. Investing in long-term technical and on-page SEO ensures that when prospective clients are actively searching for solutions, the business appears prominently, building compounding inbound lead momentum that outlasts temporary paid ad campaigns.To maximize customer lifetime value and eliminate pipeline volatility, scaling enterprises must pair organic search acquisition with automated customer relationship management workflows. Relying solely on one-off purchases or sporadic manual follow-ups creates unnecessary customer churn, whereas establishing automated email flows—such as post-purchase onboarding sequences, re-engagement triggers, and targeted review collection prompts—creates a direct, owned communication channel. Segmenting email audiences by past purchase history and maintaining a consistent monthly sending cadence allows companies to drive predictable repeat revenue without paying additional customer acquisition costs. Automating these backend touchpoints keeps the brand top-of-mind, transforming one-time buyers into loyal, high-value brand advocates.Furthermore, dominating local market search results demands that business owners treat client review collection as a standardized, automated operational process rather than an afterthought. Search algorithms heavily favor local companies that demonstrate high review volume, recent feedback, and proactive business responses, making customer testimonials a primary driver for local search engine visibility. Integrating direct review links into automated CRM follow-up sequences ensures a steady stream of verified social proof that builds immediate buyer trust. When clear cinematic messaging, disciplined search engine optimization, automated email marketing, and systematic review collection are synthesized into a single growth framework, an organization eliminates client acquisition bottlenecks, protects its profit margins, and predictably expands enterprise valuation.About Drew DorenfestDrew Dorenfest is the Founder of Client Magnet CRM, an expert digital marketing consultant, and a former Hollywood trailer editor with over two decades of creative storytelling experience. Having edited marketing campaigns for major film franchises and television series—including Spider-Man, Star Trek, and Power—Drew now specializes in helping small business owners and regional service providers build automated client acquisition engines. He is a recognized growth strategist focused on helping business leaders leverage search engine optimization, email marketing, and automated CRM technology to scale predictable revenue.About Client Magnet CRMClient Magnet CRM is an elite marketing technology advisory and automated CRM platform engineered to help small-to-mid-sized businesses optimize lead acquisition and client retention. The company specializes in delivering custom search engine optimization playbooks, automated email marketing flows, local review generation systems, and brand messaging refinement. Through tailored growth blueprints and marketing automation tools, Client Magnet CRM enables business owners to eliminate lead generation debt, build direct audience relationships, and maximize market equity.Links Mentioned in This EpisodeClient Magnet CRM Official Website: clientmagnetcrm.comDrew Dorenfest on LinkedIn: linkedin.com/in/drew-dorenfestKey Episode HighlightsThe Five-Second Value Proposition: Applying Hollywood trailer editing techniques to condense brand messaging and hook website visitors immediately.Organic Search vs. Social Media Fatigue: Leveraging high-intent search engine optimization to attract inbound leads actively looking for solutions.Automated CRM Email Workflows: Building predictable repeat revenue through segmented post-purchase email sequences and automated re-engagement flows.Systematic Local Review Collection: Utilizing automated CRM prompts to generate Google reviews that boost local SEO rankings and build social proof.Compounding Inbound Lead Infrastructure: Shifting marketing capital away from temporary ad spend to construct permanent digital assets that drive ongoing traffic.ConclusionThe conversation with Drew Dorenfest underscores that achieving sustainable business growth requires a deliberate synthesis of narrative clarity, organic search visibility, and automated customer nurture systems. By standardizing internal marketing workflows, building owned communication channels, and automating review acquisition, business leaders can transform an unpredictable lead pipeline into a highly structured, self-sustaining growth engine.More from The Thoughtful Entrepreneur

Rahul Sood has run the application security business at Harness for almost a year. He describes application security as one of the core pillars of the company, part of a vision of building a DevSecOps platform. A year ago Harness publicly announced that security accounted for a quarter of its revenue. Sood says the figure is now considerably higher. The company did not start there. Founder Jyoti Bansal thought about Harness for a decade before founding it, Sood says, after seeing the problem inside one of the largest banks. Harness launched as a DevOps platform, then merged with an API security company Bansal had also funded. The result is a platform that treats security as part of the developer workflow rather than a bolt-on, and covers it from code all the way to runtime. What changes when security lives inside the developer workflow? Developers stop leaving their own tools to chase findings. Harness aggregates results across scanners, deduplicates them, and puts remediation, assignment, and exemption requests in one place. Security teams get the other half of the picture through a policy engine that shows which policies fire on every build, which ones break a build, and where a developer asked for an exception, with a full audit trail behind it. Where is the bottleneck now that AI writes the code? It moved downstream. Sood says nearly every development team is generating more code with AI, while the volume actually reaching users has not risen at the same rate. By his estimate coding is 20 to 30 percent of the software development life cycle, and the remaining 70 to 80 percent happens after the code is written. That includes agents. Harness has extended the platform to support the Agent DLC, with native capabilities for AI evaluation and prompt testing alongside security coverage for agents from code to runtime. Sood points to two differences. The span from code to runtime covers agents while they are built and while they run, and skill scanning and prompt scanning were added to the same scanner already looking for code vulnerabilities rather than shipped as another tool to buy. The operational payoff shows up in release cadence. Sood describes a tier one US bank that maintained 150 separate policies and convened a team to confirm each one had been met before it could launch its banking app. Automating that review removed the meeting, and the bank now runs multiple launches within weeks. With 80 to 90 percent of software now assembled from third-party packages, libraries, and open source components, the same policy engine can block any build that pulls in a package which is end of life or malicious. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Rahul Sood, General Manager, Application Security at Harness On LinkedIn: https://www.linkedin.com/in/rssoods/ RESOURCES Black Hat USA 2026 event coverage from ITSPmagazine: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Harness: https://www.harness.io/ Harness customer case studies: https://www.harness.io/customers Securing the Agent DLC, by Rahul Sood: https://www.harness.io/blog/securing-the-agent-dlc Harness AI Security: https://www.harness.io/products/ai-security Harness Application Security Testing: https://www.harness.io/products/application-security-testing Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS rahul sood, harness, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, application security, devsecops, agent dlc, ai security, api security, policy engine, software supply chain, open source risk, prompt scanning, skill scanning, code to runtime, developer experience, release velocity Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI isn't going to replace painting contractors — but contractors who know how to use AI might.In this special episode of the Contractor Secrets Podcast, Tanner Mullen is joined by Mike Hickman, founder and CEO of Painter Growth, for a deep dive into what an AI-native painting business actually looks like.Mike breaks down practical ways contractors can start using AI across their sales, marketing, estimating, websites, strategic partnerships, and day-to-day operations — including live examples of what's already possible.In this episode, you'll learn:• The 5 levels of AI adoption• How AI can transform your sales process• How to build a website using AI• How to create personalized proposals in minutes• Using AI to visualize projects before the work begins• Automating strategic partner outreach• How AI can help you operate with fewer people and higher margins• Why contractors who wait too long may struggle to catch upThe goal isn't to remove the human element from your business. It's to use AI to handle more of the repetitive work so you can spend more time selling, building relationships, leading your team, and growing the company.If you own a painting or home service business, this is an episode you don't want to miss.Start your Free 14 Day Trial for Routemize - https://routemize.com/Coaching Session Signup: https://calendly.com/dripjobs/breakthroughPurchase the 31 Days of Value and build an EMPIRE: https://www.amazon.com/31-Days-Value-home-service-businesses/dp/B0FQSH32X7Spotify: https://open.spotify.com/show/2v0D0SNSBofqJJE6zApEE1DripJobs Demo: https://calendly.com/dripjobsteam/dripjobsdemoGusto: https://gusto.com/i/tanner269OpenPhone: https://openph.one/referral/8Kc17aqFacebook Group: https://www.facebook.com/groups/173750747824373/?ref=shareFollow me on Instagram: http://Instagram.com/officialtannermullen#PaintingContractor #ContractorBusiness #ArtificialIntelligence #AI #PaintingBusiness #HomeServices #BusinessGrowth #ContractorSecrets

Send us Fan MailSchedule an Rx AssessmentYour pharmacy has a bottleneck so naturally, you list a job! But what if the bottlenecks in your pharmacy come down to software, not staffing?On this episode of the Bottom Line Pharmacy Podcast, we sit down with Ross Miller of TJM Labs to break down:What a pharmacy AI bot actually isHow TJM's product suite has expanded beyond data entryWhat change management looks like when a bot starts taking on technician-level tasksAnd more!Stay connected with Ross Miller and TJM Labs:Ross Miller LinkedInTJM Labs WebsiteTJM Labs LinkedInTJM Labs Instagram Stay connected with us:FacebookTwitterLinkedInScotty Sykes – CPA, CFP LinkedInScotty Sykes – CPA, CFP TwitterBonnie Bond – CPA LinkedInBonnie Bond – CPA TwitterMore resources on this topic: Podcast - Becoming a Pharmacy GladiatorPodcast – Driving Independent Pharmacy Profitability in 2026 with Nicolette Mathey, PharmD, CEO of Atrium24Podcast – 2026 Quarter 2 Pharmacy UpdatePodcast – America 250, The history of Pharmacy, Q&A

Join the Millionaire University AI Mastermind at ⁠⁠⁠MillionaireUniversity.com/AI #1032 What if the biggest thing holding your business back isn't your strategy — but the fear, uncertainty, and busywork keeping you from taking action? In Part 1 of this two-part episode, Justin and Tara Williams open up the very first Millionaire University coaching call and work through real challenges alongside members of the MU community. You'll hear practical advice on getting your first customers, pushing through fear and uncertainty, knowing when to stick with an idea, and building momentum through imperfect action. Plus, their son Brogan shares how he's using AI tools like Claude Code to automate repetitive tasks, build his own software, and turn an appliance resale business into a largely hands-off operation — all without a technical background! What we discuss on the call: + Overcoming fear and taking action + Getting your first customers + Building momentum through experimentation + Finding your entrepreneurial “genius zone” + Turning AI into a business tool + Automating repetitive tasks with AI + Building software without coding experience + Creating a more hands-off business + Knowing when to push through or pivot + The compounding effect of consistent action Thank you for listening! Check out Millionaire University at ⁠⁠⁠MillionaireUniversity.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

Every medical device implanted in a patient, every cell phone produced at launch scale, every vaccine vial filled at twelve hundred units per minute exists because of industrial automation. It is the invisible infrastructure behind modern manufacturing, and it is one of the fastest growing sectors in the global economy. Darragh de Stondún has spent his entire career at the center of it. After leaving Ireland in 1998 in pursuit of the automation innovation happening in America, he spent decades building and leading automation businesses across the US, Germany, Ireland, and the UK. In August 2024, he co-founded AIR, an automated industrial robotics platform that has already acquired six best-in-class automation companies across three countries, grown to more than 500 employees, and is producing hundreds of millions in revenue. The timing could not be better. Reshoring, semiconductor expansion, and the race to automate manufacturing across life sciences, logistics, and consumer electronics are pushing the sector toward a hundred billion dollar market. AIR is building the platform designed to serve that market, and de Stondún is building it the same way he has always built machines: with precision, discipline, and an obsessive focus on getting every part of the system right.On this episode of The Reboot Chronicles Podcast, we sit down with Darragh de Stondún, CEO of AIR, to unpack how he is building a unified automation powerhouse rather than a collection of acquired companies, why automation is no longer optional for manufacturers competing in a reshored America, how AI is reshaping what is possible in industrial robotics, what humans in the loop actually means on a factory floor, and why the biggest challenge in building AIR is not technology but separating signal from noise in a market moving faster than ever.

Join the Millionaire University AI Mastermind at ⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/AI #1028 Bookkeeping might feel like an industry “at risk” in the age of AI — but according to returning guest Kate Johnson, it's actually positioned for major growth! In this episode hosted by Kirsten Tyrrel, Kate shares how the accounting landscape is evolving, why AI-enabled bookkeepers will thrive, and how to ethically use new tools to speed up workflows and deliver higher-value insights. She also highlights the rising demand for fractional bookkeeping and CFO-style support, the opportunity in emerging software, and why storytelling, advisory skills, and strong financial fundamentals will keep human bookkeepers indispensable for years to come! (Original Air Date - 12/2/25) What we discuss with Kate: + AI's impact on bookkeeping + Security concerns with financial data + Hourly vs. project-based pricing + Using AI for notes and summaries + Automating client intake workflows + Emerging accounting software options + Value of human context and storytelling + Transitioning to fractional roles + Expanding into CFO-level advisory + Niching down with specific software Thank you, Kate! Use code MU for 50% off the ⁠Bookkeeping Side Hustle Guidebook⁠. Join the ⁠Bookkeeping Side Hustle Facebook Group⁠. Follow Kate on ⁠Instagram⁠, ⁠LinkedIn⁠, ⁠Twitter⁠, and ⁠YouTube⁠. Follow Kate on ⁠⁠Substack⁠⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! 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

"How do you use AI every day?"

Over the Summer I've curated a mini series of some of my favourite episodes from the podcast so far. We revisit old episodes that have stayed rent-free in my brain! So whether this episode ends up being new for you or you get to enjoy it again years later, I hope you find it helpful. How do you feel about money? If you're anything like me you might have a chequered history with your business finances and, let's face it, that rarely feels good. In today's empowering episode I chat with the award-winning founder of rainchq Davinia Tomlinson who is on a mission to help women take control of their financial futures. I've talked about burying my head in the sand with my business finances before but today we tackle this sometimes scary topic head on as we unpick money stories, working with financial advisors without feeling shame and the impact feeling confident with money has on our business.   Key Takeaways Face Your Finances with Courage Moving past fear and avoidance is the first step to building lasting financial security and confidence. Empower Yourself Through Knowledge Financial education and honest conversations help break down barriers and unlock your potential to build wealth. Your Pricing Reflects Your Value Setting fair, strategic prices is an act of self-respect and a key part of your brand; don't be afraid to charge what you're worth. Automate and Simplify for Success Use technology and systems to make saving, investing, and managing money easier, so you can focus on what matters most. Plan for the Future, Live for Today Balance enjoying life now with preparing for the future; small, consistent actions today can create big opportunities tomorrow. Lift the Next Generation Teaching financial skills to girls and young women empowers them to break cycles and build brighter futures for themselves and their communities. Episode Highlights 00:10 – Why talking about money is so hard—and why it matters 02:17 – Meet Davina Tomlinson and the mission of Rain HQ 05:16 – The gender gap in wealth, investing, and financial advice 08:44 – Why relatable role models and honest conversations are crucial 12:26 – Challenging limiting beliefs and standing firm on your pricing 16:37 – Pricing as part of your brand and business strategy 21:24 – Treating your life like a business: tracking income and expenses 22:50 – Automating savings, pensions, and building healthy habits 26:21 – Planning for the future and setting big-picture goals 28:58 – Davina's book "Cash is Queen" and empowering the next generation Mentioned in the episode:  - Buy Davinia's book Cash is Queen - Listen to Liz Wilcox on the podcast talking about brand personality and email marketing  This episode sponsorship slot featured the amazing email membership of Liz Wilcox. Check it out here. I would love to hear what you think of this episode, so please do let me know on Instagram where I'm @‌lizmmosley or @‌buildingyourbrandpodcast and I hope you enjoy the episode! This episode was written and recorded by me and produced by Lucy Lucraft lucylucraft.co.uk If you enjoyed this episode please leave a 5* rating and review!

Virginia Szepietowski grew up in the UK outside of London, and now lives in Alabama. She's had a winding path to her current venture, including body building, triathlons, law, and entrepreneurship. She comes from a family of entrepreneurs, who are deeply ambitious, tenacious, and deeply humble. She finds the feeling of a deep safety net from her family, and she pursues her adventures. Outside of tech, she is married to her now co-founder. She is still a competitive body builder, and likes to push herself to the limit.Through a series of life events, Virginia got interested in water treatment. She started discovering the world of wastewater operators, and the fact that they were the last line of defense before toxic wastewater moved into our waterways (rivers and such). Using AI, her and her team started to build a platform for these operators to quickly detect organisms in these water streams.This is the creation story of Nyad AI.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://nyad.ai/https://www.linkedin.com/in/virginia-szepietowski/Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Episode 156: This week, Kyle Van Pelt talks with Ian Wenik, Editor at Citywire. Ian covers the independent wealth management industry with a focus on RIAs, mergers and acquisitions, advisor technology, and the business forces reshaping financial advice. Through his reporting and conversations with industry leaders, he has developed a front-row view of the trends driving growth across the advisory landscape. Kyle and Ian explore what separates today's fastest-growing RIAs from the rest of the industry. They discuss why competition for acquisitions continues to intensify, how firms can balance scale with independence, and why organic growth remains the ultimate differentiator. They also examine Schwab's latest referral changes, AI's potential to level the playing field for mid-sized firms, emerging technology trends, and what Ian believes the future holds for advisors building the next generation of great firms. In this episode: (00:00) - Intro (03:25) - A preview of Citywire's fastest-growing RIAs report  (05:47) - Why the M&A market is becoming more competitive  (08:00) - Why large RIAs struggle to reach the public markets (11:02) - Are RIAs becoming the new wirehouses?  (13:21) - Deal structures that don't work (16:05) - Schwab's referral changes and what they mean for RIAs  (22:06) - What's driving organic growth today (25:21) - How AI can help mid-sized firms compete  (27:00) - Ian's advice for firms that want to stay independent (27:58) - Technology trends among the fastest-growing firms (29:16) - Ian's outlook on the future of the financial services industry (30:41) - Ian's Milemarker Minute Key Takeaways Deep expertise creates opportunities. Whether investing, acquiring businesses, or serving clients, deep subject-matter expertise allows firms to spot hidden value and underrated talent before the broader market takes notice.  Ownership drives commitment. If you want entrepreneurial people to stay engaged, give them meaningful opportunities to build equity rather than relying solely on compensation. Optimize organic growth strategies for modern discovery. Traditional search and referral channels are evolving. To maintain a strong pipeline, leaders must diversify their acquisition strategies—leveraging digital media, strategic partnerships, and AI-driven search visibility. Use AI to create more time for people, not less. Automating operational work improves efficiency, but relationships and trust remain the foundation of exceptional client service. Let AI handle the back office so you can spend more time on the conversations that actually grow the business. Quotes "For the public markets to open up to RIAs, you need a really strong, well-capitalized firm, a strong balance sheet, a clean operating and capital structure, strong cash flows, and high organic growth." ~ Ian Wenik "The reason that we've seen so many transactions fail is that the transactions are structured in a way where it's cash-heavy, short earn-out. It allows the founders to cash themselves out. They peace out after maybe a year, and you have a second generation that's actually managing the underlying client book of business that has no incentive to stick around." ~  Ian Wenik "Invest in what you do best. Remember why you got into this business. If you focus on that core business, as long as you maintain a baseline level of profitability, a lot of things will fall into place." ~ Ian Wenik Links  Ian Wenik on LinkedIn Citywire Edelman Financial Engines Focus Financial Partners Creative Planning Cerity Partners LPL Financial  Morgan Stanley  Future Proof Joshua Brown Goldman Sachs  Moneta Group Carson Group  Peter Mallouk Charles Schwab  Orion Advisor Solutions  Movement Connect with our hosts Milemarker.co Kyle on LinkedIn Jud on LinkedIn Subscribe and stay in touch Apple Podcasts Spotify YouTube Produce game-changing content with Turncast Turncast helps your company grow by producing top-quality content and fostering transformative conversations. We specialize in content generation, podcasting, digital strategy, and audience growth for fintech and financial services companies. Learn more at Turncast.com.

In the not-too-far future, as envisioned by Sam Schwager, Co-Founder and CEO at SuperDial, most revenue cycle management (RCM) will be handled by an AI agent at the provider that communicates with an AI agent at the payer. SuperDial is on that path, handling large numbers of billing calls with its voice agent.SuperDial entered the AI space in an unusual way. They were an RCM company themselves, focusing on behavioral health, and realized they could not grow unless they could automate the calls during which human agents would spend hours on hold and conduct "the same conversation 40 different times a day." After successfully building the voice agent for their own needs, they started marketing their AI voice agent to other RCM vendors about two-and-a-half to three years ago. Their AI agents have now conducted more than seven million calls for their clients.Learn more about SuperDial: https://www.superdial.com/Healthcare IT Community: https://www.healthcareittoday.com/

As sprayers get larger and labour becomes harder to find, improving the efficiency of the spray tender has become just as important as improving the sprayer itself. Laython Ford, territory manager for Western Canada with SurePoint Ag Systems, shows how the company’s Arsenal spray trailer completes the complete spray tender system built around the company’s... Read More

Ever wondered if your greenhouse control system is actually helping—or if it's leaving you in the dark about your energy bills? I've been there, and that's exactly what we dig into in this episode.Joining me are Neda, CEO and co-founder of Microclimates, and Gretchen, Executive Director at the Greenhouse Lighting and Systems Engineering Consortium at Cornell, whose combined expertise covers everything from cutting-edge environmental controls to energy efficiency in controlled environment agriculture. Neda has an extensive background in developing technologies that empower growers with actionable data, while Gretchen brings years of research experience with leading universities and utility-backed initiatives in optimizing greenhouse lighting and automation.This episode unpacks the real-world findings from the CalNEX Project—a first-of-its-kind scientific study focused on the impact of smart environmental monitoring and controls in California greenhouses. We compare “smart” and “smarter” systems, revealing surprising industry gaps in environmental data collection, misunderstood overhead costs, and how simple steps can lead to significant energy savings and business sustainability.Beyond the results, we chat about practical steps for adopting automation without ripping out your current systems, new open-platform sensor trends, the reality (and future) of AI in controlled ag, and why a phased, data-driven approach will be key for small and large growers alike. If you're daunted by all the talk of sensors, integration, or AI, consider this the guide to understanding what actually matters—and what you can do today.Curious if you're missing an easy win in your farm's energy management, or want a reality check on all the AI hype? Tune in now and turn your environmental data into your biggest asset!Thanks to Our SponsorsCEA Summit East - https://indoor.ag/cea-summit-east-2025/Indoor AgCon - https://indoor.ag/Key Takeaways00:00 Discussing the CalNEX Project findings03:17 Smart Controls Project achievements07:52 Improving greenhouse energy efficiency10:34 Energy consumption misconceptions12:57 Diverse systems in cannabis farming19:10 Automating greenhouse light management22:22 Operational impacts in construction projects25:40 Consulting on greenhouse tech needs27:50 Discussing phased approach for innovations29:57 Phased approach to AI implementation35:51 Parental influence on IT security37:02 Adopting AI and Automation Tools41:17 Starting with basic crop monitoring43:32 Indoor farming control techniques46:39 Year of retrofits and opportunities49:46 Appreciating industry partnershipsTweetable Quotes"Our job is to complement what's already there. The projects Gretchen mentioned, every site had something different… Our job wasn't to go in and just say, rip everything out for this control study and start over because we want to collect the data. It was really to take a look at what do you currently have, how can we complement that with adding more environmental insight, environmental visibility to that operation, and is there a way that we can integrate what you currently have?" "I'd say the biggest surprise and biggest lesson was that they didn't have enough environmental visibility. A lot of these operations had maybe one temperature humidity sensor hanging in the middle of the room representing the entire greenhouse or a section of the greenhouse. Your control system is only as good as the information it's taking in, like the input, right?""If you don't have the thousands of data points, if you can't summarize the trends, if you can't make any recommendations and alerts, and you can't generate those reports based on the thousand data points, how is this AI going to actually get to know you?... First of all, we have to step back and say, are operators actually collecting data? We already said early on in this conversation they are, but they don't have enough environmental visibility, which means they actually are not collecting enough data."Resources MentionedWebsite - www.microclimates.comYouTube - https://www.youtube.com/@Microclimates-IncInstagram - https://www.instagram.com/microclimatesFacebook - https://www.facebook.com/microclimates.incLinkedIn - https://www.linkedin.com/company/microclimatesLinkedIn - https://www.linkedin.com/in/gschimelpfenig/Resource Innovation Institute - https://resourceinnovation.org/ Microclimates - https://microclimates.com/ Priva Control Systems - https://www.priva.com/Ritter Greenhouse Automation - https://rittergreenhouse.com/Connect With UsVFP LinkedIn - https://www.linkedin.com/company/verticalfarmingpodcastVFP Twitter - https://twitter.com/VerticalFarmPodVFP Instagram - https://www.instagram.com/direct/inbox/VFP Facebook - https://www.facebook.com/VerticalFarmPodSubscribe to our newsletters!AgTech Digest - https://agtechdigest.comThe Indoor Farmer - https://www.indoorverticalfarm.com/Horti-Gen Insights - https://www.hortigeninsights.com/

Most capital raises become stressful because the follow up starts too late. Brandon Wong explains how consistent communication before a raise helps operators stay top of mind and focus on investors who are ready to have real conversations. Description In this episode of The Property Profits Podcast, Dave Dubeau sits down with Brandon Wong, founder of Smart Syndicator, to discuss a practical approach to investor communication. Brandon shares how losing money on his first real estate deal eventually led him toward building systems that made raising capital much more efficient. Instead of making endless phone calls and repeating the same conversations, he created automated workflows that answer common investor questions, organize responses, and help operators prioritize the people who are actively interested. The conversation also covers why text messaging has become such an effective communication tool, how to reconnect with older contacts, why monthly investor education matters, and why successful capital raising begins long before a property goes under contract. Key Topics Brandon's journey from the Marines into real estate investing Lessons learned from losing money on a first investment Why cold calling became an inefficient way to raise capital Using text messaging to answer common investor questions The Four Ps framework for presenting investment opportunities Cleaning and organizing investor databases Monthly newsletters and investor education Staying top of mind before raising capital Supporting syndicators through onboarding and automation Where Smart Syndicator fits into the capital raising process Guest Information Brandon Wong is a real estate investor and the founder of Smart Syndicator. His platform helps experienced syndicators and fund managers automate investor communication, organize follow up, and streamline capital raising through text messaging, email, and CRM workflows. Website: SmartSyndicator.com Call to Action To learn more about Smart Syndicator and schedule a demonstration, visit: SmartSyndicator.com

Operational leadership isn't built in the boardroom. It's built through years of solving problems, understanding people, refining processes, and making decisions that strengthen every part of an organization. The most effective leaders rarely begin at the top. They build their perspective one role at a time, gaining firsthand knowledge of how operations, customer experience, technology, supply chains, and leadership intersect. That breadth of experience often becomes their greatest competitive advantage, especially during periods of uncertainty. Today's business environment demands exactly that kind of leadership. Organizations are navigating economic shifts, changing consumer expectations, workforce challenges, emerging technologies, and increasing competition. Navigating those complexities requires more than expertise in a single discipline. It requires leaders who understand how every function of the business contributes to long-term success. Operational leadership begins with that understanding. One of the biggest misconceptions about leadership is that executives eventually outgrow operations. In reality, the strongest leaders remain closely connected to the daily realities of their organizations. They understand the challenges facing employees, the needs of customers, and the pressures experienced by business owners and operators because they've often lived those experiences themselves. That perspective creates better decisions. Rather than making assumptions from behind a desk, operational leaders recognize how changes in one area affect every other part of the business. Marketing influences operations. Operations shape customer experience. Customer experience drives loyalty. Technology impacts efficiency. Every decision creates a ripple effect throughout the organization. As Jeff Hetsel puts it, "Great leaders don't just understand one department. They understand how every part of the business works together." That philosophy has become increasingly important as organizations continue adapting to rapid change. Few industries illustrate this better than the restaurant business. The COVID-19 pandemic challenged nearly every assumption about how restaurants operated. Dining rooms closed, customer expectations changed overnight, supply chains became unpredictable, and operators were forced to rethink nearly every aspect of their businesses. While every organization faced difficult decisions, the companies that emerged strongest shared several common characteristics. They communicated frequently, adapted quickly, stayed close to their customers, and maintained strong relationships with the people responsible for executing the business every day. Communication proved especially valuable. When uncertainty increases, information becomes leadership. Organizations that communicated consistently with franchisees, employees, suppliers, and customers were often able to make better decisions because everyone understood the challenges, priorities, and direction of the business. Transparency created trust, and trust created alignment. That principle extends far beyond franchising. Whether leading a small business or a global organization, communication remains one of the most effective operational tools available. People perform better when they understand not only what is changing, but why those changes matter. Operational leadership also requires the discipline to continually evaluate how technology supports the customer experience. Artificial intelligence, automation, digital ordering, customer relationship management systems, and advanced analytics are reshaping nearly every industry. Businesses that ignore these innovations risk falling behind. At the same time, technology should never become a substitute for genuine human connection. Instead, the most successful organizations use technology to remove friction. Automating repetitive tasks allows employees to focus on serving customers, solving problems, and building relationships. Rather than replacing people, technology should create more opportunities for meaningful interactions. This balance will likely define the next generation of business leadership. Consumers increasingly expect convenience, speed, and personalization. They also continue to value authenticity, trust, and personal service. Organizations capable of delivering both will create stronger customer loyalty and long-term competitive advantages. Continuous learning is another defining characteristic of operational leadership. Business landscapes evolve too quickly for leaders to rely solely on past experience. Markets shift. Competitors innovate. Customer preferences change. The leaders who continue growing are those who remain curious enough to keep learning. Books remain one of the simplest ways to develop that perspective. While digital content provides quick answers, books offer something different: depth, context, and thoughtful analysis. Many accomplished executives continue to make reading a priority because it exposes them to new ideas, leadership philosophies, and strategies that can be applied long before competitors recognize the opportunity. That mindset reflects another simple but powerful philosophy. "You have to earn your job every day." Leadership is never permanent. Every day presents new opportunities to improve processes, strengthen teams, create value, and serve customers more effectively. The strongest leaders understand that success yesterday guarantees nothing tomorrow. They remain students of their industry, constantly asking better questions and looking for smarter ways to operate. Perhaps the most overlooked aspect of operational leadership is service. Leadership is often associated with authority, decision-making, and accountability. Those responsibilities certainly matter. Yet the organizations that consistently outperform their competitors often embrace a different philosophy. They view leadership as service. Serving employees. Serving franchisees. Serving customers. Serving communities. That perspective influences every decision throughout the organization. As Hetsel explains, "Being great is anything you do in the service of others." It's a simple statement, yet it captures an essential truth about sustainable business growth. Organizations succeed when the people inside them succeed first. Strong leaders remove obstacles instead of creating them. They build systems that support consistency. They communicate with transparency. They embrace innovation without abandoning the human experience that customers value most. Operational leadership is not about knowing every answer. It's about understanding the business well enough to ask better questions. It's about remaining curious after decades of experience. It's about recognizing that growth depends on people just as much as processes. Most importantly, it's about never becoming disconnected from the customers, employees, and partners who make long-term success possible. Business will continue to evolve. Technology will continue advancing. Customer expectations will continue changing. The organizations best positioned for the future will be led by individuals who understand operations from the ground up, lead through service, embrace continuous learning, and never lose sight of the people behind every business decision. About Jeff Hetsel Jeff Hetsel is President of Cicis Pizza and JMC Restaurant Distribution, bringing nearly 40 years of restaurant and franchise leadership experience. A Certified Franchise Executive, Jeff began his career with Cicis in 1992 as a restaurant manager and has since served in leadership roles spanning operations, franchise development, real estate, construction, distribution, and executive management. His hands-on experience across virtually every aspect of the business has helped guide the brand through significant industry change while supporting franchisees, strengthening operations, and positioning Cicis for continued growth. About Ford Saeks Ford Saeks is a Business Growth Accelerator who has generated more than a billion dollars in sales worldwide by helping businesses attract loyal customers, increase visibility, and accelerate growth. As President and CEO of Prime Concepts Group, Inc., Ford has founded more than ten companies, authored eleven books, earned three U.S. patents, and advised organizations ranging from startups to Fortune 500 companies. A recognized expert in business growth, customer acquisition, leadership, franchising, marketing, and AI-driven business strategies, Ford helps business owners and leaders identify opportunities, improve performance, and achieve sustainable results. Learn more at ProfitRichResults.com and watch Fordify LIVE at Fordify.tv

There's always been a gap between the discovery of a security issue and the time it takes to remediate. Now AI models can autonomously find weak points and chain together actions to exploit them. How does AI change the notion of “fast enough” for network defense? On today’s sponsored episode we dig into how FireMon... Read more »

There's always been a gap between the discovery of a security issue and the time it takes to remediate. Now AI models can autonomously find weak points and chain together actions to exploit them. How does AI change the notion of “fast enough” for network defense? On today’s sponsored episode we dig into how FireMon... Read more »

Sign up for my FREE Masterclass- How to Build a 7-Figure Group Practice and earn 1 CE Hour → https://mccancemethod.com/webinar-free-masterclass-from-solo-to-superteam/In this episode, I explain why every group practice needs a CRM in 2026 and how it can stop valuable inquiries from slipping through the cracks. I also share how a CRM can improve your response time, automate your follow-ups and help you understand which marketing strategies are actually bringing qualified clients into your practice.Make sure to bring your paper and pen because this episode is full of actionable tips!Here are some key points in this episode:[01:42] CRM vs. EHR.[03:20] Why leads get lost.[05:07] The importance of fast follow-ups.[06:29] Automating texts and follow-ups.[08:35] Introducing ClinicMonk™[16:35] Tracking qualified leads.Links From The Episode:Join the ClinicMonk™ waitlist →https://clinicmonk.com/Here is the Janeapp link for TWO free months on us! https://janesoftware.partnerlinks.io/ytg4vn Use Coupon: MCCANCE2MO

Joe Anderson, CEO of Connex eCommerce, shares insights on automating complex workflows in e-commerce, integrating legacy systems, and leveraging AI for smarter operations. Discover how tailored automation solutions can streamline your business processes and stay ahead in a rapidly evolving market.Key topicsComplex workflows in eCommerceLegacy system integration challengesAI and automation in eCommerceCustomizable data syncing and rulesChapters00:00Introduction to Connex eCommerce01:56The Journey of Automation in eCommerce04:03Challenges in Workflow Automation07:17Specialization vs Generalization in Integration09:54Client Profiles and Complex Workflows10:50The Role of AI in eCommerce Automation12:00Complex B2B Solutions and Client Needs12:53Future Trends in eCommerce and AI

When Andrea Palacio stepped into the unfamiliar home services industry as an inexperienced founder, disaster struck almost immediately. A rogue manager quit after convincing 10 employees to leave, top clients walked away, and monthly revenue plummeted from $70,000 down to $40,000—all while Andrea was pregnant with her second child and raising an eight-month-old.With zero technical background and no trade experience, Andrea refused to give up. Armed with YouTube tutorials and sheer grit, she taught herself how to build custom AI automations using Claude Code to save her struggling business. Today, her landscaping company generates over $1 million a year, operates seamlessly on autopilot, and runs so effectively without her daily involvement that she recently turned down an offer to sell it.In this episode of the UpFlip Podcast, Andrea sits down with Ryan Atkinson to reveal how a first-time operator replaced tedious manual tasks with custom AI agents—from 24/7 AI voice receptionists and automated invoice follow-ups to hands-free Google Ad optimization.What You'll Learn in This Episode:The Time & Energy Audit: How to analyze your weekly schedule as a new founder to pinpoint the exact manual, repetitive tasks you should delegate to AI first.Hands-Free Google Ads: How connecting Claude directly to your Google Ads campaign slashes your cost-per-click and replaces $4,000/month marketing agencies.The AI Receptionist & Invoice Chaser: How Andrea built automated AI voice agents to answer missed calls, book appointments directly into calendars, and follow up on past-due invoices.Automating 5-Star Reviews: The exact post-service automation workflow that sends instant, time-stamped photos to clients and drives a consistent stream of 5-star Google reviews.One Tool to Rule Them All: Why you don't need to master dozens of complex AI tools, and why focusing deeply on one platform (like Claude) is all it takes to transform your operations.Tags: Service & Consulting, Home Services, Business scaling, Home Services, AI, Landscaping, AutomationResources:The only thing worse than never starting a business… is starting the wrong one. That's why we created the UpFlip Assessment. It's a free tool that matches you with business ideas based on your skills, budget, experience, goals, and the kind of work you actually want to do. The results are scary accurate. Click the link in the show notes to see your best-fit business ideas in seconds — for free.UpFlip Assessment Tool:  https://accelerator.upflip.com/assessment Follow Our Second Channel Here: https://next.upflip.com/spotify Connect with Andrea: https://www.instagram.com/andreapalacio/?hl=en

Most solo real estate agents are burning out trying to film new content every day just to stay relevant.In this episode, I break down the Cascade Method—my manual system for taking one long-form real estate video and turning it into a complete platform-native content campaign.You'll see the exact ChatGPT workflow, how I structure reels and carousels so they can stand on their own, how the content gets handed off to my team, and how we are building HIVO AI to automate the entire process.Stop filming from scratch every day. Build one strong anchor video, then cascade it.

How do you actually put a dollar figure on friction? Chuck Moxley and Nick Paladino brought three guests from Blue Triangle to tackle the question they have been chasing for three years on the podcast.Every digital team knows friction is costing them money. The hard part has always been knowing how much and where to start fixing it. Amir Rozenberg, Blue Triangle's CPO walks us through a completely reimagined platform that automates what used to take weeks. The kicker: it tells you your business could gain millions based on specific friction points, then generates engineer-ready user stories you can drop straight into Jira.Andy Singh from customer success shares a counterintuitive insight: digital teams almost always think their biggest friction is on top-of-funnel pages that get the most traffic. Then the data comes back and it's "your login page is costing you millions" or "your search results are destroying conversion." The unknowns are where the real money sits.Dan Revellese, who's been building this for 14 years and worked with hundreds of brands, drops a sports analogy that lands: you can have the best offense in the world, but if your defense gives up points, you lose. Digital teams are the same—technology and business have to chase the same goals or you're optimizing the wrong things.The breakthrough here isn't just identifying friction. It's shifting culture from "we think this is the problem" to "we know this is costing us X dollars, and here's how to fix it." That shared language means fewer political battles and faster iteration.Key Actionable Takeaways:Stop chasing metrics in a bubble—tie every metric to a business outcome or you're just creating noiseAI's real superpower is speed–turn data into actionable recommendations faster than humans ever couldEvery brand is different—what worked at your last company probably won't work here, so start with humility about what you don't knowWant more tips and strategies about creating frictionless digital experiences? Subscribe to our newsletter!https://www.thefrictionlessexperience.com/frictionless/Download the Black Friday/Cyber Monday eBook: http://bluetriangle.com/ebookAmir Rozenberg: https://www.linkedin.com/in/amirrozenberg/ Andy Singh: https://www.linkedin.com/in/andy-singh-082955148/ Dan Revellese: https://www.linkedin.com/in/dan-revellese-159953/ Nick Paladino's LinkedIn: https://linkedin.com/in/npaladinoChuck Moxley's LinkedIn: https://linkedin.com/in/chuck-moxleyChapters:(00:00) Introduction(01:00) Three Years of Questions(06:40) Amir Rosenberg Intro(13:00) Revenue Assurance Platform(16:45) Identifying Friction(20:00) Platform Walkthrough(25:00) Game-Changing Features(28:00) Business Outcomes(29:08) Amir Recap(33:00) Andy Introduction(34:00) When Friction Costs Land(35:40) Unknown Unknowns(38:30) Automating the Process(40:20) Metrics vs Interactions(41:15) Dan Co-Founder Intro(45:00) Pattern Recognition(47:00) Conversion Curves(50:00) 14-Year Journey(53:55) Universal Truths(54:02) Revenue Impact(56:05) Q&A Session(58:00) Conclusion

Outbound sales models relying on cold email and automated LinkedIn outreach are rapidly collapsing as C-suite decision-makers filter out generic digital noise.In this collaborative episode recorded live on The Optimist Brief with host Dan Lescarbeau (VP of Marketing at Iris North America), guest Dylan Conroy, host of The Ad Podcast, breaks down how establishing an executive media platform turns cold sales friction into an asymmetric business development engine. Conroy outlines how growth strategists and independent agencies leverage human-in-the-loop generative AI to automate background administration, prototype visual pitch assets in minutes, and achieve the execution scale of legacy holding company networks. Key tactical themes covered:Replacing transactional sales pitches with a value-first media model that grants direct access to enterprise prospects. Utilizing generative AI image and text tools to prototype client creative concepts in real time during preliminary pitch calls. Automating routine inbox and administrative workflows to maximize executive bandwidth for in-person relationship building. Leveling the playing field for boutique agencies competing against global holding networks through AI-enhanced operational efficiency. Structuring international event presence to convert passive conference attendance into a disciplined client acquisition pipeline. Connect & Scale Your Performance:Follow Guest Dylan Conroy on LinkedIn: https://www.linkedin.com/in/dylanconroy/Explore Strike Social: https://strikesocial.com/guaranteed-performance-marketing/Follow Host Dan Lescarbeau on LinkedIn: https://www.linkedin.com/in/danlescarbeau/Explore Iris Worldwide: https://www.iris-worldwide.com/

Live from the GEOINT 2026 Symposium in Denver, Colorado, Project Geospatial's Adam Simmons sat down with Scot Currie (Senior VP of Government Relations) and Jim Zinter (VP of USG Business Development) from BlackSky.As former national security intelligence analysts from the NGA, NRO, and US Air Force, Scot and Jim detail how BlackSky is directly meeting the federal government's modern mandate for tactical speed. Discover how BlackSky delivers ultra-low-latency satellite imagery alongside high-confidence AI analytics to automatically detect, count, and classify military order of battle objects.Watch the interview to hear about their active satellite constellations, the massive leap from 1-meter Gen 2 imagery to their new 35cm Gen 3 class of satellites, and the unique tactical value of extreme off-nadir (oblique) imaging. Plus, Jim introduces BlackSky's Spectra platform, showing how simple it is to task a satellite in just three button clicks.Key Highlights in this Video:00:00:51 – Meet Scot Currie and Jim Zinter and explore their backgrounds with the NGA, NRO, and Air Force.00:01:21 – High-Quality, Low-Latency: How BlackSky delivers imagery and AI analytics at tactical speeds.00:02:20 – Automating the Burden: Offloading standard object detection from human analysts to AI models.00:02:52 – Gen 2 vs. Gen 3 Satellites: Moving from 1-meter resolution to the highly demanded 35cm sweet spot.00:03:38 – Going Beyond Vertical: The extreme value of deep, 30-to-60 degree off-nadir (oblique) imagery for 3D modeling.00:04:21 – What's Next: Expanding the constellation and broadening the AI's military classification library.00:05:15 – The Proliferation of 3D Imagery: Reflections on walking the GEOINT exhibit floor.00:07:00 – 3-Click Satellite Tasking: Demystifying commercial space access through BlackSky's Spectra platform.Learn More About BlackSky:

The "Deep Dive" into global expansion and AI adoption, featuring insights from Dr. Shan Nair on the Breakfast Leadership Show, centers on the idea that operational infrastructure, rather than strategy, is the true bedrock of successful scaling,,. The Core Thesis: "Automating Failure Faster" The primary risk for modern organizations is not the failure to adopt technology, but the decision to automate broken processes,. Dr. Nair, a former nuclear physicist, argues that unless the underlying systems are "rock solid," automation merely accelerates operational collapse. Executives are encouraged to ask whether a process is actually efficient before tasking an AI to execute it. Key Insights on Infrastructure & Compliance Infrastructure over Strategy: Companies entering new markets rarely fail because of a bad business thesis; they fail due to "unforced errors" such as payroll mistakes, missed compliance filings, or data breaches. Compliance as a Universal Standard: Dr. Nair's firm applies GDPR standards globally, regardless of local regulations, to maintain a high level of data integrity and minimize liability. Data Sovereignty: To protect sensitive information (e.g., sick leave records, home addresses), organizations should build AI systems internally rather than routing data through public tools,. Institutional Knowledge as an Asset: Scaling efficiently requires treating knowledge as infrastructure—leveraging solutions found in one jurisdiction (like Belgium) to solve similar problems in another (like the Netherlands) instead of starting from zero. The "Quiet Risk": Erosion of Expertise A significant concern raised in the deep dive is the erosion of the learning curve for junior staff. If AI handles all foundational tasks, the next generation of experts may never build the necessary judgment or "learn the hard way",. Dr. Nair warns that organizations must document the reasoning behind decisions, not just the procedural steps, to survive novel problems once current experts retire. Strategic Recommendations for Leadership Test the SOP First: Validate the Standard Operating Procedure before automation to ensure you aren't doing the "wrong thing faster". Wall Off Sensitive Data: Maintain strict discipline regarding data privacy by isolating sensitive information from public AI models. Fund the Learning Curve: Intentionally create pathways for human staff to build slow-form judgment that AI cannot replicate. Audit the Operating System: Success depends on whether your current structure can support AI, rather than just the decision to use it,. https://BreakfastLeadership.com/ to get help with your AI deployment

In this episode of FP&A Unlocked, host Paul Barnhurst sits down with Albert Lee, FP&A leader, AI finance coach, and corporate trainer, to explore how artificial intelligence is transforming the finance profession. Albert shares practical insights from implementing AI in corporate finance, coaching CFOs, and training finance teams on responsible AI adoption.Albert Lee is an FP&A leader, AI finance coach, and corporate trainer with over 13 years of experience helping finance teams embrace AI and automation. He has led FP&A functions across multinational organizations, including Merlin Entertainments and The Cookware Company, driving forecasting, profitability modeling, and process improvements across APAC. Today, Albert coaches CFOs and finance leaders through the AI Finance Club while delivering AI training for global organizations and professional finance communities.Expect to Learn:Why AI should be your finance copilotHow to build trusted AI workflowsWhen to use AI vs. Power QueryBest practices for secure AI adoptionKey skills for the future of FP&AHere are a few relevant quotes from the episode:"A strong analyst using AI becomes much stronger. A weak analyst using AI simply makes mistakes faster." - Albert Lee"The best FP&A professionals don't just explain the numbers, they explain what they mean and what should happen next." – Albert LeeAlbert Lee shares practical insights on using AI to enhance FP&A without sacrificing governance, accuracy, or human judgment. He reminds finance professionals that while AI can dramatically improve productivity, true business value comes from combining the right technology with strong data practices, critical thinking, and trusted business partnerships.Follow Albert:Website - https://axiomfpa.com/LinkedIn - https://www.linkedin.com/in/albert-lee-fcpa-869478118/Earn Your CPE Credit For CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode[00:00] – Trailer[02:14] – Meet Albert Lee[03:34] – Why Copilot?[05:27] – AI Automation Journey[09:47] – AI Training & Coaching[19:51] – AI Challenges[23:50] – AI Workflows[28:18] – AI Governance[31:23] – AI's Strengths & Limits[39:40] – Career Advice & Wrap-up

Send us Fan MailIn this episode, discretionary trader and author of Short Selling Master, David Capablanca aka sits down with algorithmic trading expert Dave Mabe to break down how discretionary and systematic traders can actually work together instead of staying in their own lanes.Dave has been trading systematically for nearly 20 years and works closely with traders at SMB Capital. He shares practical insights on backtesting, building automated edges, handling small-cap environments filled with algorithms, and how to turn discretionary ideas into robust, automatable strategies. Book - Short Selling MasterPreorder David Capablanca's book - Short Selling Master Friendly Bear Conference 7Early Bird ticket for Friendly Bear Conference 7 ft. Tom Hougaard on 10/12/26 Friendly Bear UniversityGet Profitable & Master Your Trading - Memberships & Courses Now AvailableCobra TradingClick the link and get 33% off commissions for life as well as one month of free DAS Trader PlatformAskEdgarUse Code friendlybear for 25% off for AskEdgar, the new standard for researching SEC filingsStock Analysis ProGet unlimited access to all financial data and tools.David's InstagramSubscribe for behind the scenes trading related contentDavid's X ProfileFollow David Capablanca on X!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the show

In this episode of the Crop Doctors' Podcast, Jason and Tom sit down with Wes Lowe to discuss two innovative projects aimed at improving on-farm efficiency and profitability. Wes shares insights from his work evaluating prescription soybean planting and reduced seeding rates, where variable-rate planting strategies are being tested to better match seeding populations with field productivity. He explains how these trials are helping determine where growers can reduce seed costs without sacrificing yield. The conversation also highlights Wes's collaboration with Drew Gholson on the development of a prototype automated polypipe hole puncher. Designed to streamline the process of setting up furrow irrigation, the system uses field prescriptions to automatically punch holes in polypipe, reducing labor requirements and improving the precision of water distribution across irrigated fields. https://extension.msstate.edu/shows/mississippi-crop-situation   

Drew talks with Joao Soares, Lead IT Security Consultant, about a project Joao undertook to automate firewall rule changes. Firewall changes can be fraught in any environment, but Joao also had to contend with working in the highly-regulated energy sector. They walk through how the project went from proof-of-concept to being widely used in production,... Read more »

Drew talks with Joao Soares, Lead IT Security Consultant, about a project Joao undertook to automate firewall rule changes. Firewall changes can be fraught in any environment, but Joao also had to contend with working in the highly-regulated energy sector. They walk through how the project went from proof-of-concept to being widely used in production,... Read more »

E-commerce order volumes are climbing, but bottom-line profits aren't keeping pace.  In this episode of Supply Chain Now, Scott W. Luton and Tevon Taylor are joined by Lori Boyer, Head of Content Marketing at EasyPost and host of Unboxing Logistics. They explore how to protect margins by moving away from broad averages and toward customer precision and AI-driven routing strategies.   Lori explains how unmanaged growth creates a hidden operational tax for businesses. She makes the case for focusing on order quality over pure volume, calculating the true contribution margin per order, and using technology to treat delivery as a customer retention tool rather than a standard cost center. She also shares a case study where an operator leveraged practical AI tools to save $2 million annually and drastically cut late deliveries without changing carriers or contracts.   Tevon and Lori discuss core operating principles for winning organizations; breaking free from baseline defaults, segmenting customers by economic value, and building multi-carrier optionality to safeguard against rate spikes. They highlight how moving past standard averages helps operators stop losing money and ensure top customers receive the elite experience they deserve. Jump into the conversation: (00:00) Intro (06:50) The e-commerce growth vs. profit gap  (08:41) How today's e-commerce complexity is different  (12:12) Shifting from broad growth to order profitability  (14:12) Rising customer acquisition costs and retention value  (18:22) Dashboard lies and the death of averages  (21:44) Breaking down the true cost of customer margin  (23:57) Starting with a simple profitability spreadsheet  (26:33) Segmenting customers by order economics  (28:18) Automating logistics decisions with practical AI tools  (37:18) Prioritizing reliability and visibility over delivery speed (41:00) Redefining optionality as a bottom-line margin strategy (44:34) Traits that separate winning operators from those struggling (48:39) Leveraging Luma AI workflows to locate hidden shipping costs (51:05) Prioritizing customer lifetime value over broad funnel acquisition Additional Links & Resources: Connect with Lori Boyer: https://www.linkedin.com/in/loribboyer/ Connect with Tevon Taylor: https://www.linkedin.com/in/tevontaylor/ Learn more about EasyPost: https://www.easypost.com/ Learn more about Pegasus Logistics Group: https://www.pegasuslogisticsgroup.com Learn more about Unboxing Logistics: https://www.easypost.com/podcast/ Upcoming Live Programming:  https://supplychainnow.com/upcoming-live-programming/ Supply Chain Now Resource Hub: https://supplychainnow.com/resource-hub/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- The Future of Supply Chains: Where Talent Meets Technology: https://bit.ly/4uUuxkc WEBINAR- Peak Reality Check: What Shippers, Analysts, and AI Models Are Predicting for 2026: https://bit.ly/4aTlsRv WEBINAR- From Volume to Resilience: How Automotive Supply Chains Are Adapting to a New Market Reality: https://bit.ly/4f6SUGA WEBINAR- The Automotive Industry's Next Digital Breakthrough: https://bit.ly/4vhUwT4 This episode was hosted by Scott Luton and Tevon Taylor, and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/more-orders-less-profit-whats-going-on-1608 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Want to stop chasing leads and start having highly motivated sellers reach out directly to you? In this episode, Brent Daniels pulls back the curtain on his 21 years of real estate experience and over $20 million spent on online lead generation to reveal his top six favorite lead sources. From free, seven-minute organic social media strategies and dominating your local market with Google My Business, to scaling up with high-converting Facebook, YouTube, and Google PPC ads, this episode is an absolute masterclass in building a massive inbound pipeline. You will learn how to automate on-market MLS offers in seconds, the secret to converting PPC leads in under 48 hours, and the exact monthly budgets required to play in the big leagues. Be a part of the TTP training program now.---------Show notes:(0:00) Beginning of today's episode(0:57) Brent's $20 million online lead generation background(1:43) Why a clean online presence acts as your invisible resume(2:31) Using Google My Business reviews to win free wholesale deals(4:10) The 7-minute organic Facebook strategy that actually works(5:54) Automating on-market MLS offers in seconds using OfferGun(7:06) Generating high-intent inbound leads with targeted Facebook Ads(7:43) Why major Pay-Per-Lead companies are flocking to YouTube Ads(8:19) The ultimate lead source and why Google Ads (PPC) dominate the industry(8:45) How PPC leads convert in 48 hours compared to 100 days for cold calling(9:21) The critical 30-second speed-to-lead rule for maximizing PPC ROI----------Resources:OfferGunTalkToPeopleWholesaling LaunchTo speak with Brent or one of our other expert coaches call (281) 835-4201 or schedule your free discovery call here to learn about our mentorship programs and become part of the TribeGo to Wholesalingincgroup.com to become part of one of the fastest growing Facebook communities in the Wholesaling space. Get all of your burning Wholesaling questions answered, gain access to JV partnerships, and connect with other "success minded" Rhinos in the community.It's 100% free to join. The opportunities in this community  are endless, what are you waiting for?

Of course GPT-5.6 Sol is OpenAI's best model yet. ☀️Every new model is.The real story is what OpenAI did around it.Codex got a friendlier name, a broader audience, and a much bigger job.ChatGPT Work is not just another mode.It is OpenAI merging chat, coding, browsing, files, plugins, and actions into one work super app.Today's Everyday AI breaks down what actually changed, what is mostly packaging, and why Anthropic should be paying very close attention.ChatGPT Work and GPT-5.6 Sol: What's New, 5 Overlooked Features and 1 Hot Take -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GPT-5.6 Soul Model Launch OverviewChatGPT Work Super App IntroductionCodex Platform Rebranding ExplainedSol, Terra, Luna Model Tier ComparisonUnified Plugins and Workflow IntegrationChatGPT Sites Expanded Access FeaturesChatGPT Work Mobile App Remote UpdatesAtlas Browser Integration in Super AppAdvanced Agentic Browser and AutomationPerformance Benchmarks: GPT-5.6 vs. Fable 5Pricing Structure and Cost EfficiencyAnthropic Competitive Landscape & Model ImpactTimestamps:00:00 OpenAI's GPT 5.6 Soul release05:40 Introducing the new GPT 5 models07:23 Combining ChatGPT and Codex10:30 Codex display options explained14:39 Features of CHAD TBT on the web18:28 Performance optimization with Sol Ultra22:54 Comparing AI model costs24:23 Why use Codex over the web27:55 New Chatchifyd and Chat GPT Features31:44 Automating podcast production tasks33:20 Codex and Chrome extension features38:17 AI model rankings and performance40:44 Market dynamics and competition impactKeywords: GPT-5.6, GPT-5.6 Soul, GPT-5.6 Terra, GPT-5.6 Luna, OpenAI, ChatGPT Work, ChatGPT super app, agentic platform, Codex, Atlas browser, Slack bot, AI model benchmarks, performance per dollar, AI execution, knowledge work automation, AI-powered desktop app, task scheduling, multi-agent orchestration, Ultra mode, plugin integration, context gathering, automated spreadsheet creation, AI dashboards, interactive web apps, team collaboration tools, cost-efficient AI, recuring tasks, mobile AI control, remote desktop AI, Chrome extension, browser automation, password management, cookies support, scheduled tasks, file access, AI competitive landscape, Anthropic, Claude Fable 5, Claude Opus, artificial analysis coding index, API pricing, model performance, AI work productivity, Slack integration, knowledge worker agent orchestrationSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Keith Gillispie deployed overseas 13 times as an active duty Marine. His kids didn't know who he was. That was the moment he decided real estate would be his path to financial freedom and time with his family. Now he runs two companies, coaches high-income W-2 earners and military investors, and has helped hundreds of investors build businesses that run on systems instead of chaos.   In this episode, Chris sits down with Keith, founder of REI Automated, to talk about what it actually takes to build a real estate business when you are strapped for time. Keith works primarily with active duty military, first responders, executives, and other high-demand professionals who are making good money but have no time to spare. His answer to that problem is automation, and his platform has systematized more than 90% of the repetitive, time-consuming tasks that keep most investors stuck in the weeds.   Keith also breaks down the three ingredients every investor needs to succeed: the right education, the right systems, and the right support. He explains why most people in the so-called coaching space are not actually coaches, how to vet who you learn from, and why asking for help is the one thing most former military investors resist the longest.   One of his clients, an active duty naval officer carrying a full course load, closed his tenth deal in under a year. The excuse is not the issue. The system is.   Key Takeaways   Every business that has stood the test of time runs on systems. Once you build the right systems, you can automate the majority of your workflow and let a computer do the repetitive work so you can focus on what actually drives revenue. There are three ingredients you need to succeed in real estate: the right education, the right systems, and the right support. You can have the first two and still burn out or quit without someone in your corner who has been through it. Busy work that does not drive revenue will kill your business. Rule number one is keep revenue in first position. If what you are doing right now is not moving a deal forward, stop and get on the phone with sellers. Most people in the education space are not coaches. Before you invest in someone's program, find out if they are actively doing deals, not just talking about them. Real coaching comes from people who are still in the trenches. Success leaves clues, but you have to meet people where they are. If someone is in chapter 15 of their journey and you are in chapter one, do not copy what they are doing now. Ask them what they did at the beginning.   Key Talking Points of the Episode   00:00 Introduction 00:18 Who is Keith Gillispie? 01:50 Keith Gillispie's Background: From Active Duty Marine to Real Estate 04:41 Helping High-Income W-2 Earners and First Responders 05:36 The Importance of Systems and Automation in Business 06:58 Managing Business Through Virtual Assistants and Checklists 08:35 Learning Creative Financing and Other Strategies Beyond Wholesaling 09:23 Busy Work Vs. Revenue-Driving Actions 10:14 The Three Ingredients for Success: Education, Systems, and Support 11:54 The Advantages of Creative Deals and the 3 Paydays System 14:25 Navigating the Challenges of Growing 2 Companies Simultaneously 16:17 Education, Information and Qualified Coaching 18:11 Free Courses and Resources for Investors 20:18 The Importance of Finding a Mentor   Links   3 Paydays® Live https://3paydayslive.com/podcast   Free Discovery Call https://smartrealestatecoachpodcast.com/discovery   3 Paydays® System Mastery Course - Use coupon code for 50% off https://smartrealestatecoach.com/qls Coupon code: pod   Apprentice Program 3PaydaysApprentice.com/Podcast    Masterclass https://smartrealestatecoach.com/masterspodcast   3 Paydays Books https://3paydaysbooks.com/podcast   Partners https://smartrealestatecoach.com/podcastresources

AI's all-you-can-eat era is ending.