Podcasts about ERP

In this episode of the Podcast, Dr. David Puder sits down with reproductive psychiatrist Dr. Katie Unverferth, Director of the UCLA Women's Life Center and Medical Director of the UCLA Maternal Mental Health Program, to clarify the critical differences between common postpartum intrusive thoughts of infant harm, postpartum OCD, and true postpartum psychosis. They discuss how nearly all new mothers experience ego-dystonic thoughts of accidental or intentional harm, how to screen without triggering concealment, when severity and compulsions cross into OCD, the role of high-dose SSRIs plus exposure and response prevention (ERP), red-flag signs of ego-syntonic content, agitation, insomnia, and delirium-like states that signal psychosis, and the strong evidence for lithium prophylaxis and acute treatment in high-risk patients.    Link to blog Link to YouTube video

BONUS: When the Team Becomes the Operating System for AI — Marko Taipale on the Twin Project at Solita Most teams trying to "use AI" end up with fast individuals and a slower system. Marko Taipale ran a two-year experiment at Solita that suggests the real bottleneck isn't the tool — it's the team's operating model. In this conversation, Vasco and Marko walk through the Twin Project with ISS Finland — two teams, same ERP pricing tool, one classical agile, one with generative AI in the room — and the lessons that became the CollabAI framework. The Twin Project — Two Teams, Same Product, One With AI in the Room "We had a luxury of: do whatever you want with AI, please get at least the same results, towards the same goal."   In 2024, Marko's team at Solita was set up as the counterpart to an existing Scrum team building an ERP pricing tool for ISS Finland. Same product mission, two different operating models. The first days were chaotic and exploratory — the team tried over 120 AI tools, built a custom GPT to act as a stand-in product owner, and even sent a virtual assistant to sit silently in the other team's meetings so nobody from Marko's team had to attend. The framework grew out of what kept working, not from a plan written upfront. "Fast Individuals, Slow System" — Why Buying Licenses Doesn't Fix the Bottleneck "If you don't change your structures, AI won't do anything faster. The only thing that gets faster is the queues between your decision-making gates."   The line from Marko's book lands hard once you have seen it inside a team. A Copilot license speeds up the individual — and then the individual sits and waits for the rest of the system: reviews, handoffs, refinement, stakeholder meetings. Those queues are exactly what AI accelerates, and the team feels even more frustrated than before. The real intervention is upstream, in how the team shares context and makes decisions together. Without that, AI just makes the existing inefficiency more obvious. Drifting in the Solution Space — Why Sense-Making Has to Happen Together "None of the real problems are so simple that a single person can solve them. If it's that simple, you should automate it."   The early Twin Project team kept seeing what Marko calls drifting — small interpretive mistakes at the start of a task that twisted the solution into something unrecognisable later. Each person was reading the same docs and the same proxy-PO conversations, and each was leaving with a slightly different picture. Individual interpretation was not enough. They moved from individuals to pairs, then to whole-team sense-making sessions. The shared context only became useful when the team processed it together — and that processing turned out to be where the learning compounded. Never Leave the Daily — When Mob Programming Becomes the Operating System "This is happening so fast, we shouldn't actually leave the daily."   The team started with vanilla Scrum, extended dailies, then ran multiple per day, then realised that the meeting was the work. They drifted into mob programming without naming it — a shared virtual machine where one person controlled the screen at a time, switching every few minutes. The agile labels came later, when someone read Mob Programming by Woody Zuill (see his earlier episodes on the Scrum Master Toolbox Podcast) and saw the team's own behaviour reflected back. The takeaway: when the pace of decisions exceeds the cadence of meetings, the team has to live inside the conversation, not visit it once a day. The 40-Prototypes Moment — When the Customer Joined the Mob "You waited 37 hours to get to this point where we get feedback."   This was the turning point. Marko had built 40 different prototypes of the pricing tool in one hour, then walked into a weekly review where the customer pointed out the obvious: if the prototypes took one hour to make, the team had been waiting 37 hours to get the feedback that actually mattered. From that moment the client became part of the mob. New product directions started landing every five to seven minutes. The backlog quietly disappeared — issue management stayed, but for the AI's context, not for humans. When the product owner is in the room all day, the storage-and-handover layer stops earning its keep. The Regulation Layer — Why Sustainable Pace Gets Sharper, Not Softer, With AI "AI is a machine. It won't stop. That's why we need a regulation layer — and we have to regulate together, not individually."   What broke first in the Twin Project was not the technology — it was the people. Cognitive load and the brain's hunger for clarity become the new constraint once decisions are flying every few minutes. The old Scrum idea of sustainable pace gets a second life here, but it has to be a shared pace, set by the team, not an individual one. Engagement is the early warning signal — when people start disengaging, the system is already over its capacity. For Scrum Masters and coaches, this is where the work moves: watching the team's energy curve, not just its throughput. The Agentic Horizon — From Teammates to Agents Acting on the Team's Behalf "AI is a new player in this field. The next conversation is governance — and it has to start now."   CollabAI was about humans and AI on one screen. The next move — what Marko is now building at Agion — is agents acting on the team's behalf. The governance shape is not optional, and it is the conversation Scrum Masters and coaches need to start having before agentic systems are everywhere on the team. Marko's article series on Agion (the brain fry posts) is the public record of what they are learning as they build the governance layer for autonomous agents. About Marko Taipale Marko Taipale is the author of CollabAI: AI Teamwork In Practice (foreword by Joe Justice) and currently works at Agion Inc. At Solita, he co-led the Twin Project with ISS — two teams building the same ERP pricing tool, one with classical agile, one with generative AI embedded end-to-end — and turned what they learned into a framework for teams that want AI as a synchronous teammate, not a faster individual tool. CollabAI book · Leanpub · LinkedIn   You can link with Marko Taipale on LinkedIn.

In this episode of Run the Numbers, CJ sits down with leadership coach and former Akamai executive Andy Ellis. They break down why being indispensable can actually hurt your career, why managers shouldn't automatically replace someone who leaves, how hero-villain thinking leads to bad decisions, and what great delegation and leadership actually look like.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform with AI-powered workflows that enforce expense policies at the point of sale, match receipts automatically, and reduce month-end close from weeks to hours. Thousands of companies, including Anthropic, Coinbase, and DoorDash, already run on Brex. Stop asking A-level finance talent to do B-level admin work. Learn more at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjPulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/csoandy/Company: https://www.csoandy.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Jero and Villain Stories1:43 Welcome to Run the Numbers2:53 Andy's Book: 1% Leadership7:44 Rule 1: Don't Replace People Immediately14:04 Rule 2: Don't Become Indispensable16:02 How Andy Learned to Speak Finance22:35 Rule 3: Don't Tell Yourself Hero/Villain Stories26:59 The 5K Race Mindset Shift31:01 Rule 4: Don't Overspecify Delegation35:59 Rule 5: Don't Obsess Over Your Strengths38:23 The Six Leadership Disciplines43:45 The Vendor Rebuff Email47:45 Why Leaders Avoid Saying No50:28 Story: The Guinness Bartender Promotion53:52 When Metrics Get Gamed54:11 Asking Better Questions Segment59:07 Where to Get the Book

Santina Cilento works as a school psychologist, so she knew what OCD was. What she didn't realize was that she had been living with it herself for years. The rigid rules, the need for certain numbers, the routines she thought were just personality quirks — none of it registered as OCD until the disorder shifted toward her health and became impossible to ignore.In this episode of the Get to Know OCD podcast, Santina joins Dr. Patrick McGrath to talk about how health OCD took over her life, why constant checking never gave her lasting reassurance, plus how she eventually found the right diagnosis and treatment after spending years thinking she was simply dealing with anxiety.At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YTFollow us on social media:https://www.instagram.com/treatmyocd/https://twitter.com/treatmyocdhttps://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

PODCAST LAS NOTICIAS CON CALLE 2 DE SEPTIEMBRE - Rusia ayuda a Irán a hacer un misil supersónico en programa secreto - FT Hoy todas las noticias son de agua: Racionamiento en pausa, el acuífero fantasma de Esencia y renuncias de la AAA, los 5 pozos del norte en desusoGobierno adeuda $362 millones a suplidores por supuestamente no cuadrar bien el ERP, supuestamente no cuadra Integra PR - El Nuevo Día Café: DACO regula el precio, parece que quieren dárselo a Agricultura - El Nuevo Día 268 proyectos aprobados para alcaldes de fondos CDBG en peligro según alcaldes, piden ayuda a Vivienda- El Vocero Si estás esperando el momento perfecto para cambiar tu compañía celular o cambiar tu teléfono, ahora es que es. T-Mobile presenta NADA DE NADA. Eliminando los costos al momento de comprar un télefono nuevo. ¿Que significa eso? Que vas a pagar $0 hoy por tu celular. NADA. En serio. Sin impuestos, sin cargos y sin pronto para clientes elegibles. Ahora es más fácil que nunca, cámbiate en solo 15 minutos en el app de T-Life y recibe tu equipo el mismo día a través de Doordash.Escoge T-Mobile y disfruta de nada con la mejor red móvil en Puerto Rico, de nada.#tmobile#incluyeauspicio Le compramos a NFE 14 turbinas solo 6 están funcionando - El Nuevo Día DACO de vacaciones para hacer campaña mientras tiene dos decisiones regulatorias abiertas del promotor fee y el café - Jay Fonseca PR Apelativo paraliza subasta de la CEE porque Dominion no pudo participar, pero quieren volvernos a vender lo que antes no pudieron - El Nuevo Día Huelga en la UPR continúa - El Vocero 475 menos policías, pero tras graduaciones hay 250 menos que en 2024 - El Vocero Remodelan en Fortaleza ventanas podridas y otros equipos - El Vocero Disney tendrá puerto base en PR mientras esté temporada alta - El Nuevo Día Bjana 7% las ventas de casas y el precio promedio subió a 27 mil pesos más caro - El Vocero Aprueban eliminar el promotor fee y el venue fee en la Cámara, falta el Senado - El Vocero Ana G Méndez tendrá escuela de medicina - El Nuevo Día PR cundío de covid, influenza RSV y Dengue - El Vocero Aprueban evitar cierre del gobierno federal - USA Today Trump usa el ejército de USA como empresa nunca antes usada - WSJAlemania responsabiliza a Rusia por ataques en su aeropuerto - FT Siguen construyendo data centers a pesar de la oposición - Axios Vuelve a treparse el petróleo - Oil Price Renuncia el secretario del Ejército - Politico Irán usó decenas de misiles balísticos, USA dice que los interceptó, pero información parece contradecirlo - Bloomberg Dinamarca envía soldados a Groenlandia por primera vez en casi toda su historia - Reuters LOS DATOS DEL DÍABrent~$95/barril (+~5%)WTI~$90.4/barril (+~5.9%)Gasolina EEUUsobre $4/galón; diésel subiendoS&P 5007,659.79 (-0.35%)Dow Jones53,185.90 (-0.7%, -374 pts)Bono 10 años EEUU4.81% (máximo ~18 años)Gas natural$2.92/MMBtu (-0.55%)Euro/USD1.159Hipoteca 30 años6.74%

Send us Fan MailMost ERP demonstrations are designed to showcase the software in its best possible light, but they rarely reflect the complexities organizations encounter during real-world implementation and daily operations. Carefully scripted scenarios, polished user interfaces, and curated demo data can create a false sense of confidence, leading buyers to focus on visible features while overlooking critical considerations such as integration complexity, data quality, process fit, customization requirements, and implementation risk. In this episode, Sam Gupta and Shrestha Dash from ElevatIQ discuss the ERP demo illusion: how to spot what vendors don't show you.Video: https://www.elevatiq.com/events-and-webinars/the-erp-demo-illusion-how-to-spot-what-vendors-dont-show-you/Questions for Panelists?

Lucas and TJ are back with another episode of Edge & Flow. This week they talk AI, building an ERP for the shop, manufacturing, custom orders, and how better systems can make more room for the things that actually matter.

Matt is joined by Film USA cofounders Tony Armer and Katie Pryor to discuss President Trump's public endorsement of a federal tax credit for film production in the United States, how this could reshape filmmaking in America, how it could transform the filmmaking industry, how the tax credit would work, the odds of this passing, what needs to happen next, and more (02:08). Matt finishes the show with an opening weekend box office prediction for ‘By Any Means,' starring Mark Wahlberg (26:57). Host: Matt Belloni Guests: Tony Armer and Katie Pryor Producers: Craig Horlbeck, Jessie Lopez, and Stefano Sanchez Theme Song: Devon Renaldo SAP GROW. AI cloud ERP for any size business. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI adoption is often treated as a technology challenge: choose the right tools, train people to use them, and drive implementation. Dr. Gleb Tsipursky argues that this framing misses the harder problem. Unlike previous technology shifts, AI can trigger fear about job security, challenge professional identity, and create social stigma around how work gets done. For organizations trying to move from experimentation to meaningful business impact, understanding those human dynamics may matter as much as the technology itself.In this episode of Partnering Leadership, Gleb Tsipursky joins Mahan Tavakoli to discuss his new book, The Psychology of AI Adoption at Work: From Resistance to Results. Drawing on behavioral science research, thousands of survey responses, focus groups, and more than 100 consulting engagements, Gleb explains why traditional approaches to technology adoption often fall short with AI. The conversation examines the very different reasons employees resist, quietly embrace, or even hide their use of AI, and what those behaviors reveal about organizational culture.The discussion moves beyond adoption to a deeper question facing CEOs and senior executives: what happens when AI changes not only how quickly work gets done, but also how people understand the value they bring? Gleb explores professional identity, shadow AI, the critical role of middle managers, and why organizations may need to rethink where they begin their AI efforts. He also challenges the instinct to start by automating the highest-value activities, offering a counterintuitive approach designed to build trust, experimentation, and broader adoption.Mahan and Gleb also explore a growing leadership challenge: AI can dramatically increase output while making judgment more important. If AI increasingly generates reports, analysis, presentations, and other knowledge work, the differentiating human capability may shift from producing the first draft to evaluating whether the output is actually good. That raises important questions about how organizations develop early-career talent, redesign onboarding and apprenticeships, and build judgment when AI performs more of the work through which judgment was traditionally developed.Finally, the conversation looks ahead to an emerging workplace in which employees may increasingly manage AI agents rather than perform individual tasks themselves. Managers, in turn, may need to manage people who manage agents while coordinating increasingly complex human-machine workflows. The result is a conversation not simply about getting employees to use AI, but about the capabilities, culture, management practices, and continual learning organizations will need as AI becomes embedded in how work gets done.Actionable TakeawaysYou'll learn why AI adoption creates psychological challenges that traditional technology implementations often do not, and why treating AI like another CRM, ERP, or software rollout can lead organizations to misdiagnose resistance.Hear how fear, professional identity, and social stigma can produce very different forms of AI resistance, requiring more nuanced responses than simply mandating adoption or providing additional training.You'll discover why some employees may already be using AI extensively while deliberately hiding that use from colleagues and managers, and what this “shadow AI” behavior can cost organizations in shared learning and business impact.Hear why starting with the highest-value work may not always be the smartest path to AI adoption. Gleb explains why beginning with tasks employees actively dislike can create an unexpected path toward broader experimentation and acceptance.You'll learn why executive behavior matters in establishing the social norms around AI use, including how openly sharing successful AI applications can help shift AI from something employees conceal to something teams learn from together.Hear why middle managers may become one of the most important leverage points in AI adoption, translating executive intent into the everyday behaviors, experimentation, reinforcement, and learning that determine whether adoption actually takes hold.You'll explore why judgment may become more valuable as AI becomes better at producing work. The conversation examines the difference between generating an answer and knowing whether that answer is good enough to act on.You'll hear why AI creates a significant challenge for developing younger professionals, particularly when technology begins performing the work through which previous generations accumulated experience and learned to recognize quality.You'll learn how the role of employees and managers could change as AI agents become more capable, moving from personally executing individual tasks toward directing agents, evaluating their output, managing handoffs, and improving human-machine workflows.Hear why there may be no final state of “AI maturity.” Instead, organizations may need to build the capacity for continual learning as AI capabilities, workflows, and the skills required to manage them keep changing.Connect with Gleb TsipurskyDisaster Avoidance Experts WebsiteDr. Gleb Tsipursky LinkedInConnect with Mahan Tavakoli:Mahan Tavakoli Website Mahan Tavakoli on LinkedIn Partnering Leadership Website

Send us Fan MailERP selection is no longer just a matter of comparing features. It is fundamentally an architectural decision that influences implementation success, reporting quality, operational scalability, and long-term business performance. While many organizations continue to prioritize functional fit and rapid go-live timelines, they often underestimate the importance of application architecture, data models, integration strategies, and governance frameworks. Overlooking these foundational elements can introduce hidden risks that only become apparent after deployment, resulting in disconnected workflows, inconsistent reporting, data integrity issues, and limited opportunities for automation and future innovation.In this episode, Sam Gupta from ElevatIQ is joined by Tim Nargassans and Brian Colville from Velosio where they discuss AI & data architecture considerations in ERP selection.Video: https://www.elevatiq.com/events-and-webinars/ai-data-architecture-considerations-in-erp-selection-reducing-implementation-risk/Questions for Panelists?

We'd love to hear from you. Send us fan mail!About This EpisodeMost leaders treat employee turnover like a compensation problem or a market problem. Kevin Patrick of Trinity One Consulting spent 15 years inside ERP systems implementations before realizing it's neither; it's a trust problem, and it's fixable.In this episode, Kevin walks through the Dream Manager methodology: a model built on the idea that people give a company their best work when the company genuinely invests in their life outside of it. Kevin shares how a Florida home builder used it to attack a 58% turnover rate in its sales division, and why the math on turnover; lost salaries, ramp time, and tribal knowledge gets into the tens of millions faster than most leaders expect.Stop wondering why your best people leave even when the paycheck is right, and understand the first step you can take to prevent it.What You Will Learn•      Trust: why treating people as “a paycheck for eight hours” quietly erodes your influence as a leader•      Visibility: how to spot disengagement before it costs you a resignation letter•      Results: the real financial math behind employee turnover, department by department•      Trust: the one question that gets even guarded employees to open up•      Influence: why bringing frontline employees, not just managers, into major decisions changes outcomesKey Quote“Numbers don't lie. Math is math when you do it right.” — Kevin PatrickEpisode Chapters0:00 Why 78% of your team has already checked out1:54 The catalyst: why business isn't just systems4:25 The real reason employees disengage at work6:02 Why the wrong people are in the room during big rollouts8:57 What the Dream Manager method actually is10:00 Case study: 58% turnover in a 400-person sales team14:25 How to pitch this internally: the numbers-first approach20:00 Inside a real Dream Manager conversation26:04 Can managers become Dream Managers themselves?30:21 Your first step: what to bring to the conversation33:28 The Bozeman, Montana downsell story35:06 Where to find Kevin PatrickAbout the GuestKevin "KP" Patrick is Founder and CEO of Trinity One Consulting and Director of Operations at Anton Systems. A Certified Dream Manager and EOS Integrator with 30+ years in business, he helps businesses optimize operations through AI and people-first leadership. He also hosts The Dream Dividend podcast and coaches youth football in St. Augustine, FL.Related EpisodesLeadership Blind Spots: Why Your Best People Keep Quitting with DEBBIE LONGOWhy Top Performers Keep Getting Passed Over for Promotion with TIM SHARP Career Path Strategy: How To Drive Your Own Career Direction DOWNLOAD OUR FREE Leadership Gap Diagnostic: HERESubscribe HERESupport the show

Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Substackhttps://substack.com/@theoccultrejects?r=7auau0&utm_campaign=profile&utm_medium=profile-pageCash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsBibliographyCurses, Blessings, and Ritual HarmCannon, Walter B. “‘Voodoo' Death.” American Anthropologist 44, no. 2 (1942): 169–181.Faraone, Christopher A. Ancient Greek Love Magic. Cambridge, MA: Harvard University Press, 1999.Gager, John G., ed. Curse Tablets and Binding Spells from the Ancient World. New York: Oxford University Press, 1992.Graf, Fritz. Magic in the Ancient World. Translated by Franklin Philip. Cambridge, MA: Harvard University Press, 1997.Ogden, Daniel. Magic, Witchcraft, and Ghosts in the Greek and Roman Worlds: A Sourcebook. 2nd ed. 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Lieberman. “Putting Feelings into Words: Affect Labeling as Implicit Emotion Regulation.” Emotion Review 10, no. 2 (2018): 116–124.Self-Distancing and Reflective ProcessingAyduk, Özlem, and Ethan Kross. “From a Distance: Implications of Spontaneous Self-Distancing for Adaptive Self-Reflection.” Journal of Personality and Social Psychology 98, no. 5 (2010): 809–829.Kross, Ethan, and Özlem Ayduk. “Making Meaning out of Negative Experiences by Self-Distancing.” Current Directions in Psychological Science 20, no. 3 (2011): 187–191.Kross, Ethan, Özlem Ayduk, and Walter Mischel. “When Asking ‘Why' Does Not Hurt: Distinguishing Rumination from Reflective Processing of Negative Emotions.” Psychological Science 16, no. 9 (2005): 709–715.Kross, Ethan, Emma Bruehlman-Senecal, Jiyoung Park, Aleah Burson, Adrienne Dougherty, Holly Shablack, Ryan Bremner, Jason Moser, and Özlem Ayduk. “Self-Talk as a Regulatory Mechanism: How You Do It Matters.” Journal of Personality and Social Psychology 106, no. 2 (2014): 304–324.Moser, Jason S., Adrienne Dougherty, Whitney I. Mattson, Benjamin Katz, Tim P. Moran, Darwin Guevarra, Hannah Shablack, et al. “Third-Person Self-Talk Facilitates Emotion Regulation Without Engaging Cognitive Control: Converging Evidence from ERP and fMRI.” Scientific Reports 7 (2017): 4519.Affirmation and Counter-IncantationCascio, Christopher N., Matthew B. O'Donnell, Francis J. Tinney Jr., Matthew D. Lieberman, Shelley E. Taylor, Victor J. Strecher, and Emily B. Falk. “Self-Affirmation Activates Brain Systems Associated with Self-Related Processing and Reward and Is Reinforced by Future Orientation.” Social Cognitive and Affective Neuroscience 11, no. 4 (2016): 621–629.Cohen, Geoffrey L., and David K. Sherman. “The Psychology of Change: Self-Affirmation and Social Psychological Intervention.” Annual Review of Psychology 65 (2014): 333–371.Wood, Joanne V., W. Q. Elaine Perunovic, and John W. Lee. “Positive Self-Statements: Power for Some, Peril for Others.” Psychological Science 20, no. 7 (2009): 860–866.Implementation Intentions and ActionGollwitzer, Peter M. “Implementation Intentions: Strong Effects of Simple Plans.” American Psychologist 54, no. 7 (1999): 493–503.Gollwitzer, Peter M., and Veronika Brandstätter. “Implementation Intentions and Effective Goal Pursuit.” Journal of Personality and Social Psychology 73, no. 1 (1997): 186–199.Gollwitzer, Peter M., and Paschal Sheeran. “Implementation Intentions and Goal Achievement: A Meta-Analysis of Effects and Processes.” Advances in Experimental Social Psychology 38 (2006): 69–119.Schweiger Gallo, Inge, Andreas Keil, Kathleen C. McCulloch, Brigitte Rockstroh, and Peter M. Gollwitzer. “Strategic Automation of Emotion Regulation.” Journal of Personality and Social Psychology 96, no. 1 (2009): 11–31.Ritual, Identity, and Psychological FormationBell, Catherine. Ritual Theory, Ritual Practice. New York: Oxford University Press, 1992.Hobson, Nicholas M., Juliana Schroeder, Jane L. Risen, Dimitris Xygalatas, and Michael Inzlicht. “The Psychology of Rituals: An Integrative Review and Process-Based Framework.” Personality and Social Psychology Review 22, no. 3 (2018): 260–284.Rappaport, Roy A. Ritual and Religion in the Making of Humanity. Cambridge: Cambridge University Press, 1999.Xygalatas, Dimitris. Ritual: How Seemingly Senseless Acts Make Life Worth Living. New York: Little, Brown Spark, 2022.Also want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. 

Send us Fan MailMake-to-order manufacturers operate with a production model in which manufacturing begins only after a confirmed customer order is received, requiring close coordination across quoting, planning, procurement, production, and fulfillment. Unlike make-to-stock organizations that build inventory in anticipation of future demand, make-to-order businesses align operations around individual customer requirements, making accurate planning and execution critical to meeting delivery commitments and controlling costs. Although make-to-order is often grouped with engineer-to-order or project manufacturing, each represents a distinct operational model with different product complexity, planning horizons, and ERP requirements, making it essential to select a system that supports the specific demands of the business.In this episode, our host Sam Gupta discusses the top make-to-order manufacturing ERP systems In 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=zHepPi2IKgIQuestions for Panelists?

In this Retail Technology Spotlight series, Chris Walton sits down with Antons Sapriko, Founder and CEO of Scandiweb, to explore just how far AI has already gone in running the operational layers behind retail and what happens when employees shift from doing the work to supervising the systems doing it for them. Antons breaks down the evolution from AI assistance to what Scandiweb calls "supervised automation," where AI increasingly handles everything from personalization and pricing logic to purchase order reconciliation, software development, and the modernization of legacy systems. The conversation also explores Scandiweb's OperaLayer, an operational layer designed to sit across disconnected systems and give retailers the real-time visibility and decision-making capabilities their existing technology was never built to provide. But perhaps the biggest question is what this transformation means for the people inside retail organizations. As repetitive work becomes automated, Anton argues that the future may belong to a new generation of AI-savvy generalists who can identify the problems worth solving, supervise intelligent systems, and rethink workflows that have simply become accepted as "the way things have always been done." From replacing spreadsheets and connecting decades-old ERP systems to building AI models that can replicate a leader's decision-making process, this episode explores what it really takes to become an AI-native organization and why the path to autonomous retail may be much more practical and incremental than most people think. Key Topics Covered: 00:01:36 - How AI is already taking over parts of retail operations 00:06:09 - The shift from AI assistance to supervised automation 00:10:35 - Where retailers are seeing the biggest AI opportunities today 00:13:07 - How AI can modernize legacy systems without a complete rip-and-replace 00:17:35 - Inside Scandiweb's OperaLayer and connecting disconnected systems 00:21:52 - What happens to employees when AI takes over repetitive work 00:24:24 - Why the next generation of retail leaders may need to become generalists again 00:26:52 - How successful retailers identify the right workflows to automate 00:33:33 - How close are we really to autonomous retail? 00:36:29 - How retailers learn to trust AI with real operational decisions Over 8 years and nearly 200 episodes, the Retail Technology Spotlight Series has featured some of the biggest names and boldest thinkers in retail. Explore the full archive here: https://omnitalk.blog/category/spotlight-series-podcast/ Sponsored Content

In episode 553 I chat with Ashley Ordway and Victoria Schweiger. Ashley is a licensed mental health counselor and acting President of the Board at JACK MHA. Ashley's work at the University of Florida Health was foundational in developing the University of Florida's Fear Facers Camp, one of the first in the nation, which provides treatment to children ages 7- 15 with OCD. Ashley also runs her private practice at Magnolia Behavioral Health. Victoria is a Licensed Clinical Mental Health Counselor at the Anxiety and OCD Treatment Center in Charlotte, North Carolina. Ashley and Victoria are part of a team that runs JACK's Plant A Camp initiative.  We discuss their therapy backgrounds, their kids summer camps through JACK, the Plant A Camp initiative, what the camps look like, making exposure engaging for the kids and teens, helping kids feel connected to other kids, shame in OCD, exposure and response prevention therapy (ERP) games, community, and much more. Hope it helps. Show notes: https://theocdstories.com/episode/ashley-and-victoria-553 The podcast is made possible by NOCD. NOCD offers effective, convenient therapy available in the US and outside the US. To find out more about NOCD, their therapy plans and if they currently take your insurance head over to https://go.treatmyocd.com/theocdstories Join many other listeners getting our weekly emails. Never miss a podcast episode or update: https://theocdstories.com/newsletter  

A memory feels a little fuzzy, and suddenly OCD wants an answer. Did that really happen? Did you miss something? Did you do something wrong without realizing it? What starts as a small doubt can turn into hours of replaying events, checking old messages or photos, asking other people what they remember, or searching for some kind of proof that finally makes you feel certain. In this educational video, Dr. Patrick McGrath explains how false memory OCD can trick you into distrusting their own memories.At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YTFollow us on social media:https://www.instagram.com/treatmyocd/https://twitter.com/treatmyocdhttps://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

What if the thing keeping you stuck in OCD isn't the thought itself...but everything you do to try to finally feel certain?   In this episode of The OCD Whisperer Podcast, Kristina Orlova speaks with Natalia Aíza, a licensed therapist specializing in Exposure and Response Prevention (ERP). Together, they take a closer look at what OCD really is, why intrusive thoughts can feel so convincing, and why trying to get rid of the anxiety can actually keep the OCD cycle going. Natalia explains what happens when OCD turns a fear into something you feel you have to solve, and why compulsions aren't always obvious. Checking, avoidance, rereading, rewriting, rumination, overthinking, Googling, searching Reddit, and even asking ChatGPT for reassurance can all become part of the OCD cycle when they're being used to get certainty or relief.   This conversation dives into: • Why OCD can be mistaken for anxiety, depression, or even a personality disorder • What an OCD obsession actually is and why you can become so stuck on a possibility • Why compulsions can look completely different from person to person • Why ERP feels so counterintuitive—and why facing the fear can retrain your brain • What “accepting uncertainty” really means in OCD recovery • Why rumination, Googling, Reddit, and searching for answers can become compulsions • What to do when you realize you've already been ruminating for hours • How to interrupt a compulsion without trying to control the intrusive thought itself • Why self-compassion matters when you fall back into an OCD cycle • How to reconnect with your values and return to your real life instead of staying trapped in OCD   And one of the most important messages from this conversation is that getting caught in a compulsion doesn't mean you've failed. You can notice it. You can stop. And you can choose what comes next.   Whether you're dealing with intrusive thoughts, OCD rumination, reassurance seeking, checking, avoidance, or another form of compulsive behavior, this episode offers a deeper understanding of the OCD cycle and how ERP can help you respond differently.  

Hiii GGB :) James 1:1–8 teaches us how to walk through trials with faith, wisdom, and perseverance—and why we shouldn't waste what God can do in the hard seasons. We love you so much. Jesus loves you more. -Ang & Ari Order our book, Out of the Wilderness: 31 Devotions to Walk with God Through Your Hardest Seasons: http://www.girlsgonebible.com/book GIRLS GONE BIBLE TOUR September 11 — Pensacola, FL September 13 — Lakeland, FL Get tickets to our shows: https://www.girlsgonebible.com/tour ♡ OUR SPONSORS ♡ NOCD Specialized virtual OCD treatment with therapists trained in ERP. Book a free 15-minute call at https://www.nocd.com GLORIFY Grow closer to God every day with the Glorify Ring. Reserve yours at https://www.glorify.global/ggb GRAND CANYON UNIVERSITY Purpose-driven Christian education built for what's next. Learn more at https://www.gcu.edu JONES ROAD BEAUTY Use code GGB at https://www.jonesroadbeauty.com to get a Free Gift with your first purchase! #JonesRoadBeauty #ad

After celebrating 200 episodes, Kevin Brown and Tom Burton are back for Episode 203 of Around the Horn in Wholesale Distribution, looking at the latest news affecting manufacturers, wholesale distributors, independent sales agents, and the global supply chain.This week, Kevin and Tom reflect on the 200th episode celebration, the growth of the podcast, and what may be coming next for Around the Horn, including more interview-style episodes and expanded industry coverage.From there, they dig into the economy, including the latest Fed signals from Jackson Hole, interest rate expectations, inflation pressure, consumer spending, and why the tools available to the Fed may not be enough to solve today's price challenges.The conversation also covers new Iran sanctions, pressure on the Strait of Hormuz, Canadian tariffs, the impact of Canada's role in U.S. energy, aluminum, lumber, and electricity imports, and the growing concern around Panama Canal delays and potential El Niño-related supply chain disruption.Kevin and Tom then turn to AI and technology, including Bill Gates' warning about AI-driven upheaval, the real impact of AI on jobs, why historical comparisons to the internet and personal computers may still matter, and how distributors and manufacturers can use AI to elevate people, improve decision-making, and unlock more value from existing systems of record.The episode also includes updates on APR Supply's acquisition of Mutual Wholesalers, the continuing evolution of LeadSmart's enterprise growth platform, physical AI, humanoid robots, sales and marketing visibility, and what distributors should be watching as we move toward our next 100 episodes.What You'll LearnWhy the Fed may still be leaning toward a rate increaseHow inflation, fuel prices, and consumer spending are affecting business planningWhy Canada tariffs could have a major impact on U.S. manufacturing and distributionHow Panama Canal delays and El Niño could create new supply chain pressureWhy AI disruption may be real, but not as simple as job lossHow distributors can use connected data, AI, and automation to elevate their teamsWhy physical AI and humanoid robots matter for the future of operationsTopics CoveredFederal Reserve policy and interest ratesInflation and consumer spendingIran sanctions and the Strait of HormuzCanada tariffs and North American tradePanama Canal delaysSuper El Niño supply chain riskAI upheaval and job displacementCRM, ERP, and enterprise growth platformsPhysical AI and humanoid robotsWholesale distribution technologyAPR Supply and Mutual WholesalersTimestamps/Chapters:00:00 — Introduction and Dolly Parton Tribute04:30 — Reflecting on the 200th Episode Celebration10:15 — What Comes Next for Around The Horn15:30 — Housekeeping, Newsletter, and LeadSmart Technologies22:00 — Fed Signals from Jackson Hole29:15 — Interest Rates, Inflation, and Market Expectations38:00 — Core Prices, B2B Need, and Economic Uncertainty44:30 — Iran Sanctions and Strait of Hormuz Risk52:00 — Canada Tariffs and North American Trade Pressure59:30 — Panama Canal Delays and Supply Chain Costs1:05:00 — Super El Niño and Port Disruption Risk1:11:00 — APR Supply Acquisition and Industry Updates1:14:30 — Bill Gates, AI Turmoil, and Job Disruption1:20:00 — AI, Systems of Record, and Enterprise Growth Platforms1:24:00 — End of EpisodeLeave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

AI agents are going rogue — deleting bookings, sending unauthorized emails, and lying about it — and Blake and David trace the trend into the $3 trillion of off-balance-sheet AI commitments hiding in Big Tech's footnotes (and why accountants will get blamed when the bubble pops). They also recap what stood out at XeroCon 2026. Then Hoover Institution fellow Ben Jaros runs the real numbers on California's Prop 40 billionaire wealth tax — why the $100 billion estimate is closer to $40 billion, and whether taxing 200 people is even constitutional.SponsorsCanopy - http://accountingpodcast.promo/canopyThomson Reuters - http://accountingpodcast.promo/taxautomationOnPay - http://accountingpodcast.promo/onpayCloud Accountant Staffing - http://accountingpodcast.promo/casChapters(00:00) - Welcome to The Accounting Podcast (03:00) - Rogue AI Agents Gone Wild (07:53) - Controlling Agent Permissions (12:08) - Microsoft AI Receivables Surge (14:49) - Three Trillion Off Book Commitments (17:09) - Meta Hyperion Lease Loopholes (21:33) - Bubble Risk and Circular Financing (28:24) - XeroCon Highlights and AI Agents (32:21) - Bank Reconciliation and Roadmap Gripes (34:10) - Conference Vaporware Rant (34:37) - Billionaire Tax Preview (36:33) - Prop 40 Basics (38:40) - Revenue Reality Check (42:44) - Residency Cutoff Drama (45:01) - Wealth Tax vs Income Tax (45:52) - One Time Or Not (46:34) - Healthcare Backfill Claims (51:42) - Better Ways To Tax (55:23) - Constitutional Challenges (58:01) - Why Voters Oppose It (01:02:09) - Trial Balloon And Wrap Up  Show NotesComing soon!Need CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifieds Flowglad - https://cal.com/team/flowglad/flowgladFearless Foundry - www.advisoryamplified.comExpense Bot - https://www.expensebot.ai/accountantProfitRoot - https://tryprofitroot.com/Want to get the word out about your newsletter, webinar, party, Facebook group, podcast, e-book, job posting, or that fancy Excel macro you just created? Let the listeners of The Accounting Podcast know by running a classified ad. Go here to create your classified ad: https://cloudacctpod.link/RunClassifiedAdTranscriptsThe full transcript for this episode is available by clicking on the Transcript tab at the top of this page

Enterprise AI is moving beyond experimentation toward a harder question: where does it actually create measurable business value? In this episode of Technovation, Peter High speaks with Nikhil Narvekar, CIO and SVP of Global Business Services at Graphic Packaging Holding Company, about building an AI strategy around tangible outcomes. Narvekar explains how Graphic Packaging is applying AI to supply chain and logistics, reconsidering the need for a single ERP after 23 acquisitions and counting, and democratizing AI through fusion teams and employee training. Why Graphic Packaging took a cautious approach to enterprise AI How AI is helping optimize supply chain and logistics decisions Why a common data layer could change the ERP consolidation equation How fusion teams bring business and IT together around AI outcomes Why human domain knowledge remains essential as AI matures This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

AI is not just changing software. It may also change the economics of the services businesses built around it.Anirudh Sriram, CTO at Tessera Labs, joins The Tech Trek to explain how his company is using AI to take on enterprise transformation work traditionally handled by large systems integrators. Tessera focuses on migrations, ERP upgrades, code, data, and planning, but the bigger story is how a startup can compete by replacing large teams and long projects with automation, smaller teams, and a focus on outcomes.The conversation also gets into a harder problem. AI can produce work much faster than people can verify it. In one example, Tessera completed code migration work in three days, but functional testing still required roughly two months. That gap between production and verification may become one of the biggest constraints on enterprise AI.What Stood Out• AI creates an opening for startups to compete in markets where incumbents have historically won through scale and headcount.• Selling outcomes instead of large project teams can change both pricing and customer expectations.• Enterprise migrations can be a wedge into a much larger opportunity because they require understanding a customer's systems, data, code, and business processes.• Faster AI output does not remove the need for human review. In some cases, verification becomes the new bottleneck.Key Moments02:12 Where AI can take work out of the enterprise migration process04:39 How transformation projects can stretch years beyond their original plan08:27 Why AI may change the economics of services businesses13:42 Why verifying AI output is becoming a major constraint22:17 How Tessera approaches security, governance, and enterprise data24:56 Using migration as the entry point into broader enterprise automationOne Line That Stuck“We sell the outcome and not the process.”Follow The Tech Trek for more conversations on building, operating, and competing with AI.

In this episode of Run the Numbers, CJ sits down with Jay Ritter. They break down what Apple, Nvidia, the dot-com boom, and today's AI giants can teach us about IPOs, why companies leave money on the table on day one, why firms stay private longer, and what the data actually says about long-term IPO performance.—SPONSORS:Pulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform with AI-powered workflows that enforce expense policies at the point of sale, match receipts automatically, and reduce month-end close from weeks to hours. Thousands of companies, including Anthropic, Coinbase, and DoorDash, already run on Brex. Stop asking A-level finance talent to do B-level admin work. Learn more at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/jay-ritter-1323861/Company: https://www.ufl.edu/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Preview and Intro3:10 Meet Jay Ritter, Mr. IPO4:02 The Original 1983 Question5:08 PCs, Internet, and AI Compared9:36 Network Effects14:46 Sitzfleisch: Outlasting the Field16:10 Where Have All the IPOs Gone23:29 IPOs as Relationship-Building26:31 Why Investors Tolerate Founder Control29:16 Dual-Class Stock's Origins30:21 How Jay's Thinking Evolved31:36 Why Boards Don't Get Angry34:39 Banks' Real Client: Institutions37:08 Book Building38:56 Why Direct Listings Haven't Taken Over39:57 What Goldman Is Really Selling41:57 Sentiment vs. Long-Term Performance43:13 Does Staying Private Help Society49:35 Asking Better Questions with EY52:12 Are Markets Efficient

Is your ERP dashboard actually built on data that matters — or is it just a chart of accounts dressed up to look useful? In episode #386, Ben Murray breaks down why traditional ERP dashboards are losing ground to AI-generated, prompt-built SaaS reporting and what that means for CFOs and finance leaders right now. If your team is still relying on static dashboards anchored to your general ledger, you're missing three out of four key SaaS data sources before you even start the analysis. The gap between what ERP dashboards can show and what modern AI-native metrics engines can produce is widening fast and the CFOs who close that gap first will be the ones driving the board conversations. Why ERP dashboards are fundamentally limited to chart-of-accounts data — and the three additional SaaS data sources (HRIS, bookings, and customer/revenue data) that actually drive metrics like CAC payback, LTV to CAC, NRR, and Rule of 40. How Ben vibe-coded a full SaaS metrics dashboard in minutes using Claude — covering ARR trajectory, EBITDA margin, gross margin, revenue per FTE, and cash balance — and why a prompt-built report on a deterministic engine beats any canned dashboard. Why controlling the period of measurement matters: the example of setting CAC payback on a six-month sales cycle basis — something a standard ERP dashboard simply can't do. Where AI actually belongs in the FP&A process: not at the beginning, but at the end — writing board narratives, flagging dormant customers ripe for expansion via a RevIntel engine, and generating insights that traditional FP&A could never surface. Why agent-friendly APIs matter: how Saster's API grading tool surfaces whether your SaaS stack is actually exposing the data AI needs to take action — not just technically having an API. Tune in to understand exactly where your ERP dashboard ends and where a closed-loop, AI-powered metrics engine takes over — before your next board meeting. Resources Mentioned Ben's LinkedIn post (vibe-coded SaaS metrics report): https://www.linkedin.com/posts/benrmurray_saas-activity-7498039803582689280-7Ckt?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAOOEO8Bf5aRLyU0jjrGXvPD2odJNDer6KU Ben's deterministic SaaS metrics engine: https://softwaremetrics.ai Ben's Five Pillar SaaS Metrics Framework: https://www.thesaasacademy.com/saas-metrics-implementation-sprint-sept-2026

OCD can take something as simple as honesty and turn it into a rule: if you don't say every thought out loud, you're hiding something. That pressure can make people feel like they have to confess intrusive thoughts, explain every detail, or keep clarifying until someone else finally gives them relief. In this educational video, Dr. Patrick McGrath explains why that urge to confess can quickly become an OCD compulsion, and why learning to sit with the discomfort of not explaining everything can actually be an important part of recovery.At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YTFollow us on social media:https://www.instagram.com/treatmyocd/https://twitter.com/treatmyocdhttps://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

En el episodio de hoy de El Brieff analizamos las preguntas de poder, dinero y control que están marcando la agenda. Revisamos la investigación sobre los vuelos privados de Mara Lezama y la relación de las aeronaves con una empresa vinculada a un proveedor de su gobierno; el reacomodo político en Sinaloa después de Rubén Rocha Moya; y el intento de México y Estados Unidos por reducir tensiones en seguridad, migración y narcotráfico. También hablamos de la inflación en Estados Unidos y lo que significa para la Reserva Federal, la deuda de Pemex con proveedores, la pérdida de empleos manufactureros en México, el acuerdo multimillonario de Meta para modificar la experiencia de adolescentes en Facebook e Instagram, además de las nuevas tensiones alrededor de FIFA.Sponsors: STRTGY convierte tus datos en decisiones.La plataforma conecta los sistemas que una empresa ya utiliza —como ERP, CRM, dashboards y otras fuentes de información— y combina esos datos con contexto de negocio e inteligencia artificial para ayudar a convertir información en decisiones concretas. Entre sus aplicaciones están identificar qué productos comprar, cuánto inventario mover entre sucursales, qué clientes debería priorizar un equipo comercial, dónde existen oportunidades de crecimiento o qué acción tomar ante un problema operativo. Contacto:

Send us Fan MailSelecting a modern FP&A platform such as Datarails is no longer simply a budgeting or software decision. It is an architectural choice that influences forecasting agility, data governance, cross-functional collaboration, and executive visibility across the organization. As CPM and EPM platforms continue to evolve, finance leaders must look beyond feature comparisons and evaluate underlying data models, integration strategies, scalability, and long-term operational fit. In this session, we examine FP&A platform selection through an architectural lens rather than a tooling exercise, highlighting why this perspective is essential for organizations transitioning from spreadsheet-driven planning to scalable, enterprise-grade finance operations.In this episode, Sam Gupta and Shrestha Dash from ElevatIQ, Andy Pratico from Essential Software Solutions, and Phil Coerper from Ringling Business Solutions conduct an in-depth independent review of a leading FP&A platform Datarails.Video: https://www.elevatiq.com/events-and-webinars/datarails-an-independent-in-depth-review/Questions for Panelists?

Where did an item go, what happened to it along the way, and is it still in the condition a customer expects? In this episode, Reid Jackson chats with Amir Khoshniyati, Vice President at Wiliot. Amir explains how Wiliot describes physical AI for everyday assets: battery-free tags can give products and containers a digital identity, while Bluetooth Low Energy connections capture signals such as location, motion, temperature, humidity, and light exposure. That information can help teams see what happens between facilities where traditional tracking can lose sight of an item. The discussion also covers how physical AI can work alongside RFID, barcodes, QR codes, existing readers, ERP systems, and warehouse management systems rather than forcing companies to replace prior technology investments. Amir shares five core use cases—departure, receipt, condition, location and cycle count, plus visibility into reusable transport containers, and explains why food, grocery, CPG, automotive, logistics, healthcare, and 3PL operations are strong candidates for this approach. Looking ahead, Amir sees lower tag costs, broader deployments, and assets that may one day communicate with one another. For supply chain teams, the bigger idea is simple: better item-level data can support earlier decisions when products are delayed, misplaced, exposed to the wrong conditions, or headed to the wrong destination.   In this episode, you'll learn: How physical AI can track an item's location and condition across the supply chain Why lower tag costs could expand item-level visibility across more industries How condition history can add context that inventory data alone may miss   Things to listen for: (00:00) Introducing Next Level Supply Chain (03:23) Wiliot's physical AI platform for everyday assets (05:00) From IoT and ambient IoT to physical AI (09:01) Filling supply chain data blind spots (10:17) Brownout spots between facilities and in transit (12:26) Five core use cases for item and container visibility (14:48) Where Wiliot sees adoption across industries (18:05) How physical AI can coexist with RFID, barcodes and QR codes (22:10) Interoperability, standards and building on existing investments (25:01) What supply chains could look like over the next five years (29:52) Condition-aware perishables and product safety questions (31:54) Amir's favorite technology (32:41) What Amir wants to learn next   Connect with GS1 US: Our website - www.gs1us.orgGS1 US on LinkedIn Connect with the guest: Amir Khoshniyati on LinkedInVisit Wiliot at https://www.wiliot.com/ 

To Subscribe to DTC Newsletter - https://dtcnews.link/signupTyler Handley sold Inkbox to BIC for $65 million. His new company, Olauto, sells a $33 car air freshener, launched last September, is already profitable, and has zero employees. Four people, some contractors, and AI running the back office. The one thing they refuse to automate: when a customer emails, a human answers. Every time.The guy who built the software behind that is Mike Maleszyk, Tyler's friend since high school, who started HumanTouchCX after a support chatbot swore it was human but couldn't say what it had for lunch.If you run CX for a Shopify brand, or you're deciding right now which parts of your business AI should touch, this episode is the two of them drawing the line in public.Want the setup Olauto uses? HumanTouch is taking on its first 100 Founding Merchants, with white-glove onboarding and 24 months of locked pricing.What's inside:Why Braden reviews every automated reply "from hi to buy," and the one automation he had to be convinced to allow (off-hours only)Deflection rate, and what the merchants bragging about theirs are actually countingProduct questions as the worst place to put a bot: those customers are low funnel with a cart openThe Inkbox moderation story: 13 to 20 CX agents, custom tattoo uploads in a gray area no AI could judge, and the customer emails that started "why do you want this?"Article 50 of the EU AI Act, live since August 2nd: transparency, record keeping, and audit logs for every AI touchpoint if you sell into the EUTyler's vibe-coded ERP: why it hooks into Shopify and nothing else"Friend founding," and how four people split brand, supply chain, CX, and adsHewie, the AI that helps train your first CX hire off your own past tickets instead of your calendarWho this is for: DTC founders and CX leads between launch and $100M who are being pitched full automation from every direction.What to steal: Braden's rule. Automations answer the 65% (shipping status) during off hours only, and a human still has eyes on every single reply before the relationship is on the line.Timestamps:00:00 Building an AI-powered brand without losing the human touch05:00 Why AI customer service needs transparency12:00 The problem with optimizing customer support for deflection21:00 What the EU AI Act means for ecommerce brands28:00 How a four-person team uses AI to scale an ecommerce brandSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Rootstock announced its Summer '26 Release. Building on previous AI development, two new Rootstock AI agents enter active pilot with select customers. Sage announced it has acquired Bangert, a long-standing Sage partner and specialist in AI-enabled implementation and onboarding for construction financial management. Finally, ECI launched the integration of EvolutionX, its AI-powered e-commerce platform, with GlobalEdge, its ERP system for commercial field service organizations.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

Send us Fan MailERP projects rarely fail because of the technology itself. More often, they fail because success was never clearly defined from the outset. Broad objectives such as improving efficiency or modernizing systems may sound compelling, but they frequently result in scope creep, conflicting stakeholder expectations, and disappointing outcomes after go-live. This episode explores why poorly defined business objectives create execution risk throughout the ERP lifecycle and explains why many unsuccessful implementations are ultimately failures of planning and alignment rather than failures of the software. It also provides a practical framework for defining measurable, actionable success criteria before ERP selection and implementation begin, creating a stronger foundation for project execution and long-term business value.In this episode, Sam Gupta and Shrestha Dash from ElevatIQ discuss how to write ERP project objectives.Video: https://www.elevatiq.com/events-and-webinars/how-to-write-erp-project-objectives-from-vague-to-measurable/Questions for Panelists?

Send us Fan MailService-centric organizations operate with business models that are fundamentally different from those of product-based companies, requiring ERP systems designed around people, projects, contracts, subscriptions, customer relationships, and financial management rather than inventory and manufacturing processes. Industries such as financial services, banking, insurance, SaaS, technology, media, consulting, and other professional services prioritize resource utilization, project profitability, recurring revenue, and customer engagement over physical supply chains. Because of these operational differences, their process requirements, reporting needs, and overall system architecture often vary significantly from those of inventory-driven businesses, making it essential to select an ERP that aligns with the unique demands of service-based operations.In this episode, our host Sam Gupta discusses the top ERP Systems for service-centric industries In 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=OEczEhiG_PoQuestions for Panelists?

Earlier this year I sat down at the inaugural WRITA spring conference with Chuck Boyer (Assistant CIO, City of Phoenix, and WRITA Conference Chair), Nick Phillips (CISO, City of Boise), and Scott Magerfleisch (Executive Counselor, Info-Tech Research Group, former CIO, City of Greeley, CO).A backup can be healthy.A recovery can still fail.Boise's infrastructure team brought in Info-Tech to build a real disaster recovery plan — not because anything had gone wrong, but because "we know what to do" was living in people's heads instead of on paper. 3.5 days in a room with IT staff only, no business units. They worked through 15 applications. The city has more than 200. What Nick took away wasn't about storage. It was watching application owners and managers realize that the thing they'd been calling a playbook couldn't be handed to someone else and executed.Chuck has a phrase for why the necessary changes stall out anyway: organizational will. Scott's version of the same idea, applied to AI, is that you have to name the problem before you name the tool.We also talked about:Why every ERP conversation turns into "while we're in here, let's redo the chart of accounts"Business relationship managers (BRMs), and getting to a department before they've already bought the productPublic works asked the cyber team to come teach. So did the library. Lessons Learned.Timestamps 01:48 "Hire for fit, train for skill" 04:58 Culture change dies the moment a leader asks the team to go first 10:22 Why Boise brought in Info-Tech to build a real disaster recovery plan anyway 12:25 200+ server-based apps. They got through 15. 13:04 "We thought we had playbooks. I don't think we truly did." 16:16 Technical debt, aging servers, and the organizational will it takes to touch them 20:24 "We can't do AI for the sake of AI" 22:46 The messy, ugly side of AI nobody's posting about on LinkedIn 25:44 Phoenix's plan: council meetings, agendas, minutes and resolutions, all in an LLM 30:05 Boise's BRMs 32:46 Public works asked the cyber team to come teach. So did the library. Lessons Learned. 36:21 A Colorado city sent over a million dollars to an attacker after a contractor's email was compromised 40:24 "You're not competing with your neighbor"

CJ sits down with Rebecca Schwartz of Tabs, Fred Havemeyer of Fleet AI, and Rahul Rekhi of Rogo for a live conversation about what it actually takes to build an AI-native company. —SPONSORS:RightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjPulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform with AI-powered workflows that enforce expense policies at the point of sale, match receipts automatically, and reduce month-end close from weeks to hours. Thousands of companies, including Anthropic, Coinbase, and DoorDash, already run on Brex. Stop asking A-level finance talent to do B-level admin work. Learn more at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNhttps://www.tabs.com/https://fleetai.com/https://www.rogo.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Preview and Intro1:16 Welcome to Run the Numbers3:17 Meet the Panel: Rebecca, Fred, Rahul9:52 How Rogo Found PMF13:47 How Tabs Found PMF14:51 Growth Rates: Headcount and Revenue16:23 The Real Hiring Constraint17:21 What "Forward Deployed" Actually Means18:53 What's Blocking AI Adoption Now20:19 How Sales Hiring Has Changed24:34 How Go-to-Market Has Changed25:28 Pricing Models: Then vs. Now28:18 Tabs' Pricing Evolution29:20 What the Finance Team Looks Like31:00 How Far You Can Push Outsourced Accounting32:43 Managing AI Gross Margins35:07 The North Star Metric for AI Companies37:02 Token Spend vs. Per-Seat Pricing39:34 Asking Better Questions: What Counts as ARR41:38 Biggest Bug in Cash to Collections43:05 Closing Advice for Founders

ERP is the gold standard for OCD. But what happens when it's not enough on its own?In this episode of Breaking the Rules, Dr Celin Gelgec and Dr Tori Miller explore one of the most important — and least talked about — questions in OCD treatment: when and how to bring in other therapeutic modalities, and how to do it without abandoning the principles that make ERP work.Tori shares what traditional manualized ERP actually looked like in the early days of her career — rate your SUDS, watch the clock, wait for the anxiety to come down — and how the field has shifted since the inhibitory learning model changed the way we think about exposure. Celin reflects on her experience of always working in an integrated way, and why the principles of ACT have always felt like ERP to her — because they are.They also get honest about the moments when ERP becomes a battle. When the exposure menu turns into a war. When a client has every reason in the world not to engage — and what to do instead.Whether you're a clinician looking to expand your toolkit or someone living with OCD who's wondered why their therapist keeps talking about values and mindfulness -this episode will change how you think about what treatment can look like.In this episode, you'll learn:What traditional manualized ERP actually looked like — and how it's evolvedWhy the inhibitory learning model changed everything about how we approach exposureHow ACT principles map directly onto ERP — and why urge surfing is response preventionThe question to ask before bringing in any new modality: is this ERP-friendly?What to do when a client refuses to engage with the exposure hierarchyHow schema therapy, DBT, and imagery rescripting can be woven into OCD work without softening exposureWhy ERP has a 20% dropout rate — and what that tells us about why integration mattersWhen to hold the line and when to shift gears — and how to know the differenceWhy getting your client's life back is always the goal, even when it doesn't look like ERPNew episodes of Breaking the Rules drop fortnightly. Follow or subscribe so you don't miss one.www.melbournewellbeinggroup.com.au Hosted on Acast. See acast.com/privacy for more information.

"Trust your gut” or “just stop thinking about it” — these might sound like helpful things to tell someone struggling with OCD, but they can actually make things worse. OCD already thrives on doubt, reassurance, and the urge to get rid of uncomfortable thoughts, so advice that pushes someone toward more certainty or more control can end up feeding the disorder instead. In this video, Dr. Patrick McGrath looks at common pieces of advice that aren't helpful for people with OCD. At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YTFollow us on social media:https://www.instagram.com/treatmyocd/https://twitter.com/treatmyocdhttps://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

Is your anxiety keeping you stagnant or is it really helping you?   In this episode of The OCD Whisperer Podcast, Kristina Orlova examines generalized anxiety in more detail, including how it impacts the body and mind and why it's important to distinguish between OCD and daily anxiety. She explains how anxiety reacts to uncertainty, why our minds automatically focus on the worst-case scenario, and how Cognitive Behavioral Therapy (CBT) techniques might be useful.   Kristina covers: • Why future issues and uncertainty are viewed by the brain as possible threats • How racing thoughts, bodily sensations, and persistent "what if?" concerns are signs of anxiety • The key distinction between OCD and general anxiety • How anxiety-related thoughts, actions, and emotional reactions can be altered with CBT   Additionally, this episode delves into: • Typical thought patterns such as assuming the worst and catastrophizing • Why avoidance can actually exacerbate anxiety • How the brain eventually learns, "I can handle this," when confronted with fearful situations • Easy strategies to reduce the bodily signs of worry include moving and breathing slowly. • Why it's not necessary to completely eradicate worry and how developing new coping mechanisms can prevent it from taking over your life • Why typical cognitive behavioral therapy (CBT) thought-challenging may be helpful for generic anxiety but may actually exacerbate obsessive analysis and rumination in OCD   This episode provides useful skills, clarity, and a better knowledge of how to react when anxiety manifests, regardless of whether you're struggling with anxiety yourself or attempting to comprehend what you're going through.   ✂️ TIMESTAMPS: [00:00] – What Is Anxiety and Why Does the Brain Create It? [02:59] – General Anxiety vs. OCD: Understanding the Difference [04:12] – How CBT Can Help With Anxiety [05:23] – Catastrophizing and Other Common Anxiety Thinking Traps [06:17] – Why Avoidance Makes Anxiety Stronger [06:57] – Facing Anxiety Step by Step [07:12] – Calming the Body When Anxiety Takes Over [07:48] – Anxiety Is Normal: Learning How to Respond to It [08:32] – Why the Right Treatment Depends on the Problem [09:07] – Why Standard CBT Can Backfire With OCD [09:37] – OCD, Rumination, and the Search for Certainty   ✅ Free Resources & Links

In this episode of Run the Numbers, CJ sits down with Wisam Hirzalla, Head of Product at Stripe Billing, to trace the full journey of a dollar—from product packaging and pricing through quoting, contracts, billing, tax, collections, and revenue recognition.—SPONSORS:Anrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjPulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform with AI-powered workflows that enforce expense policies at the point of sale, match receipts automatically, and reduce month-end close from weeks to hours. Thousands of companies, including Anthropic, Coinbase, and DoorDash, already run on Brex. Stop asking A-level finance talent to do B-level admin work. Learn more at https://www.brex.com/metricsEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/wisam-hirzalla-9b20a91/Company: https://stripe.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 What Drives Billing Downstream1:41 Welcome to Run the Numbers2:37 Wisam's Path to "Queen of Billing"4:55 What Head of Billing at Stripe Entails5:45 Defining Quote-to-Cash7:50 Layer 1: Pricing and Packaging Mistakes14:46 Pricing Models Rising Because of AI18:11 Layer 2: Inside a Quote19:27 Why Enterprise Deals Get So Messy24:38 Layer 3: Contracting27:21 Layer 4: Billing30:15 Why Usage-Based Billing Is So Complex34:51 Tokens as a Pricing Unit36:57 Billing's Move Out of the ERP39:53 Layer 5: Provisioning and Entitlements43:36 Layer 6: Tax44:27 Layer 7: Getting Paid48:18 Layer 8: RevRec50:52 When Billing Stopped Being Back Office51:47 Asking Better Questions Segment52:28 Will AI Replace Finance Jobs

Lynette Eklund spent decades building creatures and effects for some of Hollywood's most recognizable movies, including Beetlejuice and Jurassic Park. Behind that career, though, was something she didn't understand. Since childhood, Lynette had lived with rigid rules, terrifying fears around food, an intense need to avoid failure, and thoughts she knew didn't make logical sense but could never talk herself out of. She simply thought she was “weird” — and kept most of it to herself. It wasn't until Lynette was 57 that she finally recognized those experiences as OCD. In this episode of the Get to Know OCD podcast, Lynette joins Dr. Patrick McGrath to look back at how undiagnosed OCD quietly shaped her childhood, relationships, and Hollywood career, why finally understanding her own mind took so much power away from the disorder, and why she wrote her memoir Weird in hopes that someone else might recognize their OCD decades earlier than she did.At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YTFollow us on social media:https://www.instagram.com/treatmyocd/https://twitter.com/treatmyocdhttps://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

Most people who start a systems integrator expect to keep doing the engineering. Dylan DuFresne explains why that stops being true inside two years.Ask ten people what a systems integrator is and you get ten answers, so Dylan DuFresne starts from first principles: a third party that connects systems which used to sit isolated. The market then splits in two. One is the generalist who has seen a hundred platforms across a thousand facilities and knows how they behave together. The other is the specialist who lives inside one or two stacks. If you know what you are building, hire the specialist. If you are still deciding, the generalist saves you money.Abelara exists because of a pattern Dylan hit repeatedly during more than a decade inside other integrators. By the time a client calls, the platform is chosen, the budget is set, and the outcome is locked in, even when that platform cannot deliver it. His answer was to move upstream into architecture, change management, and business process work with VPs and C suite sponsors. His first question is always why. Why this site, why this machine, why this platform, and what outcome is attached to it.With no clear scope of work, Abelara declines to bid or sells the consulting engagement that produces one. When scope is fuzzy but workable he prices it all in and writes explicit exclusions and assumptions up front. His test before a proposal is one question: what does done look like. A striking number of buyers cannot answer it. He also corrects an instinct: a $200 sensor may beat a $30,000 camera technically and still be the wrong call, because the expensive option is a known quantity and carries less risk.Scaling gets treated as line balancing applied to a company. Find the bottleneck, find the gap in skills or availability, and staff it. Each hire moves the constraint somewhere new, and the hardest part is emotional: letting go of work you enjoy and are good at. On AI, Dylan predicts integration goes back to being integration. A generation of integrators drifted into custom coding, with companies of 400 and 500 people building MES and SCADA stacks from scratch, and he expects code generation to strip that work away. Writing a tool that pulls PLC data to the cloud is easy. Running it reliably and securely 24/7 for a year is not.About Dylan DuFresneDylan DuFresne is co founder and lead architect at Abelara, a manufacturing transformation firm that works with plants as coach, consultant, and integrator. He spent more than a decade inside systems integrators covering robotics, PLCs, SCADA, HMI, recipe management, and ERP integration before starting Abelara with co founder Glenn. He also wrote The Phantom Pallet, a manufacturing fable about data, trust, and transformation.https://abelara.comTimestamps0:00 Introduction4:30 What a systems integrator actually is9:00 Why Dylan and Glenn started Abelara14:00 Following the customer or picking platforms first20:00 Consulting versus integration work25:00 Why integrators get brought in too late32:00 The $30,000 camera and business trade offs36:30 Scope of work and what does done look like43:20 Handing projects to the team and subcontractors52:10 First hires, bottlenecks, and forecasting57:40 AI and the future of systems integration1:05:40 Predictions, career advice, and booksReferencesThe Phantom Pallet by Dylan DuFresne: https://www.amazon.com/Phantom-Pallet-Manufacturing-Fable-Transformation-ebook/dp/B0GGYCK5PRImpro: Improvisation and the Theatre by Keith Johnstone: https://www.amazon.com/Impro-Improvisation-Theatre-Keith-Johnstone/dp/041346430XAbout Your HostsVladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Want to go deeper? Vlad and the team at Joltek have covered related topics here:System Integrators: https://www.joltek.com/blog/system-integratorsConsulting, Upskilling, and Systems Integration: https://www.joltek.com/blog/humble-beginnings-consulting-upskilling-systems-integrationDave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.Connect with Dave: https://www.linkedin.com/in/davegriffith23/Subscribe to Manufacturing Hub: https://www.manufacturinghub.liveLinkedIn: https://www.linkedin.com/company/manufacturing-hub-networkYouTube: https://www.youtube.com/@ManufacturingHub

Send us Fan MailFinance organizations are under increasing pressure to deliver faster insights and support better decision-making, yet many still depend on fragmented systems, manual reconciliations, and static reporting that prolong month-end close cycles and delay financial visibility. As a result, AI-native ERP represents more than a technology upgrade—it fundamentally changes how finance teams operate, report, and scale. In this episode, we explore what AI-native ERP reporting looks like in practice, including capabilities such as multi-entity consolidation, multi-currency reporting, custom financial dimensions, and real-time drill-down to transaction-level detail. We also examine how AI agents are streamlining the financial close by automating accrual drafts, identifying missing journal entries, and orchestrating structured close activities, helping finance teams reduce manual effort while improving accuracy and accelerating reporting.In this episode, Sam Gupta from ElevatIQ is joined by Hank Sun from Campfire where they discuss how Campfire AI-Native ERP can eliminate the month-end grind and automate finance.Video: https://www.elevatiq.com/events-and-webinars/campfire-ai-native-erp-how-it-eliminates-the-month-end-grind-and-automates-finance/Questions for Panelists?

https://youtu.be/jPTlkjF8M-c Tanner Taddeo, CEO and Co-Founder of Stable Sea, is driven by a mission to bring Wall Street-grade financial services to Main Street while embodying the principle Stay Put in Your Convictions. By combining blockchain technology, stablecoins, tokenized capital markets, and AI advisory services, Tanner helps businesses access investment opportunities, put idle cash to work, and move money globally with greater speed, transparency, and capital efficiency. In this conversation, Tanner introduces The Lionel Messi Startup Framework—Develop a High-Level Thesis, Talk With and Learn From the Market, Run 30-Day A/B Tests, Iterate Your Offering, and Stay Resolute With Your Convictions. He explains why founders should observe patiently, validate their ideas with customers, and act decisively when market opportunities emerge. Tanner also discusses balancing long-term conviction with continuous experimentation, unlocking 24/7 liquidity through tokenized capital markets, reducing friction in cross-border payments, and finding urgent “morphine” problems that customers cannot afford to leave unsolved. — Stay Put in Your Convictions with Tanner Taddeo  Hello everyone. Steve Preda here, and my guest today is Tanner Taddeo, the CEO and Co-Founder at Stable Sea, an autonomous treasury management platform that helps finance teams and global businesses access capital market products and move money around the globe to 40 currencies with the cheapest FX rates. Tanner, welcome to the show.  Steve, thanks for having me. Excited for the conversation today.  It’s very interesting that this is how you position your business because most businesses in your industry, as I see them, position themselves with low transaction fees, but really their money is made on the FX. So if you do preferential FX rates or cheap FX rates, that can be a very transparent way of getting business. So I don’t know if that connects to your personal why, but I’d love to learn about your personal why and how you manifest it in your business.  Yeah, definitely. At Stable Sea, we’re very mission-driven in terms of everything that we do. The team itself comes from Block, which was formerly known as Square. Yeah. And everyone on the team has been focused on building products for the real economy, for consumer use cases, for business use cases, et cetera, over the course of everyone’s career.  And so when we started at Stable Sea, our primary thesis was, with blockchain, with stablecoins, with some of the tokenized capital markets products like money market funds, bonds, equities, et cetera, that are coming on-chain, how can you really take Wall Street-grade financial services and provision them out to Main Street for businesses that need them the most? And so the why for Stable Sea, for myself, for the team, is really around helping businesses drive greater capital efficiency in their operations. And we service businesses in the real economy that typically make widgets or some sort of physical hardware devices, and they need to send them around the world.  We help them because we give them access to different types of capital markets products, so money markets and private credit and fixed-income products, et cetera. And then we help them move their money around the globe a little bit more efficiently than they could with either their state bank or their credit union or some third-party cross-border payments provider. Because our firm thesis has always been, if you and I ran Coca-Cola or a large organization, we would have the best-in-class transaction banks helping us put our idle capital to work at every point in time during the day.  If you and I ran a steel manufacturing company in Missouri, you typically have a checking account and QuickBooks, and that’s about it. And so for us, it was always about helping businesses grow, save more money, and then operate more efficiently with some of the new technologies that are out there today.Share on X  So that means, presumably, that what you focus on is more about the investment side of the business rather than crypto and blockchain, and helping people access financial products through the blockchain. Help me understand a little bit what you do and how it is different from what people can get from banks?  Yeah. So everything that we do, all the technology that we build and provision, is on-chain. So all of the capital markets products are tokenized. So tokenized bonds, tokenized equities, tokenized fixed income, tokenized money markets. All of the payment services and settlement services that we offer are through the use of stablecoins, and we can send that around the globe, settle it instantly, and then have low FX rates off the back of that. And then we have some of our AI advisory services.  But from a broad paintbrush perspective, at Stable Sea, you’ve got three products that hang off of our platform. You’ve got capital markets, you’ve got global settlement, and you’ve got advisory services. And then with all of that, we share a common architecture, and that architecture is built across many different blockchains. And then we utilize stablecoins and we utilize RWA tokens, or real-world asset tokens, to provision those use cases.  So everything that we do is stablecoin-native, but we don’t lead with that from a messaging perspective. And the reason we don’t lead with that from a messaging perspective is that if you and I ran a bakery here in Brooklyn, New York, and we had a point-of-sale terminal that just got offered RTP access from the Fed for instant settlement, the bakery owner doesn’t really care about the technology underneath it.  They just care, “Do I trust it? Is it going to get me my money quicker, and is it going to be cheaper than my current alternative?” How it happens, not very many people care unless you’re in the industry and you’re a builder, product manager, et cetera, and you want to nerd out on the actual mechanical nature of how the product works. But for us, it’s always been leading with the narrative of, what is the value proposition and how can we drive greater value to the businesses? So that’s how we lead. But to your point on what the difference is, with any new technological paradigm that occurs, rarely is it so disruptive in nature that folks can’t recognize it.  Everything that happens in terms of the innovation paradigm is typically you stand on the shoulders of giants and you make things incrementally better. And so for us, what we do with capital markets is, the first value proposition is that many businesses in the United States just don’t have access to a diverse array of capital markets products. So the first thing that we have done is just provision access, which is an innovation in and of itself because in the traditional markets, if you want to access a money market fund or a fixed-income product, you typically have high hurdle rates, meaning that as a business, you need to invest at least $10 million at the asset manager in question.  You need to hold that there so then you can get access to all these products. With us, you don’t. There’s only a $1 minimum to clear, so I think most folks can handle a $1 minimum. And then secondly, as things go on-chain, the value proposition there is that you have 24/7, 365 liquidity and tradability. And so what that means is that, just from a money market fund perspective, the interest accrues daily and it pays out daily.  So you get this interest that is dripped into your account daily as opposed to waiting for a month. You also have the ability—so let’s say that you and I run this bakery in Brooklyn. Let’s say that we close our business on Friday, and we’ve got $100,000 sitting in our checking account, and we’re closed on Saturday, Sunday because it’s the July 4th holiday. So we know $100,000 is just going to be sitting in our checking account Saturday, Sunday, not being put to work. With Stable Sea, you can put that to work in a tokenized money market fund because it operates 24/7, 365.  So what we see is businesses now that close their books on Friday can just do an auto-sweep into a money market fund, generate yield Saturday, Sunday, get back to U.S. dollars for their open of business. And again, it’s one of those things where it might not sound like the most revolutionary concept in the world, but if you can help businesses, especially in the mid-market, lower mid-market, operate a little bit more efficiently, I mean, saving an additional $20,000, $30,000, $40,000 a year is a big value-add to them in the real economy, right? If you’re a large Fortune 100 company, you probably don’t care, or it’s not as valuable. But for us, the companies that run on us, these small increments, standing on the shoulders of giants, a small derivation in innovation is actually really valuable for the end user.Share on X  Well, I think it is because, looking at the inverse of it, I used to be in banking, and I know that one of the biggest moneymakers for banks is float. Yeah. So it’s basically the money that doesn’t earn interest, which they have access to just because they cash the check a day later or make the wire two days instead of one day. And essentially, what you’re doing is you’re taking this money from the bank and you’re giving it to the company that actually should have it in the first place, right? Yep.  Then the question is, how are the banks going to survive if you take away their bread?  Yeah. That is the debate that’s happening right now. I think if you’re one of your G-SIBs, your major banks, you’re going to be okay. So the top 25 banks in the U.S. are going to be just fine, and they make money in tons of different ways, and you’re not going to disrupt that trust ultimately. In the long tail is where I worry because a lot of credit unions and a lot of state banks, they just don’t offer—they’re smaller banks, right?  So they’re not managing—they don’t have a ton of money by virtue of assets under management. So with the deposits that they receive, they need to turn around and recycle that because it’s fractional depository lending, meaning that if I have a checking account, I put 10 grand into it, the bank is then turning around with that 10 grand, making money on it somehow. And you have to think, how does the bank actually make money on that? Well, they typically make it through debt facilities, so mortgages, auto loans, student loans, cards, et cetera.  They’re putting it to work in high-margin financial products back into the economy. They’re not taking that and then buying some money market fund from an asset manager where they make 10 basis points and provisioning that out to the businesses, right? There, I think that we’re seeing a lot of companies move off. They’re taking their money from their checking account, moving it to Stable Sea because we can put it in these capital markets products.  I think that overall, that’s a net positive for the business because the business now has a higher degree of operating capital on hand that they can make money with. But by the same token, if the state banks and the credit unions don’t wake up and respond to this, their depository base will be, if not fully eroded, tarnished and diminished. And what that means for local community health, I’m not sure because banks do play a very important role, especially credit unions and local banks.  You know your local community the best, and so you lend back into that community with the deposits that you receive from that community. So there’s a cyclicality to it which has some poetry in it. And so it’s not apparently clear to me that some of this stuff is going to be a net positive. But at the same time, living in one of the most capitalistic countries and markets in the world, there’s a clear demand for this, and if the banks aren’t going to wake up and serve it, we’ll be there to help businesses do what’s best for them.  Yeah. It’s the invisible hand, right? You increase the efficiency, which will force the banks to also increase their efficiency. And yeah, the smaller banks might have to be more innovative. But they are more nimble, so maybe there are other ways that they can serve the community.  So I’d like to switch gears here and talk a little bit about frameworks. So this is a podcast of frameworks, and 350 episodes in, I’m always looking for some kind of a framework, shortcut, a mental model that you have come across or developed yourself that helps you make more sense of the world around you, get something done. It can be explained in three to five steps, something like that, which the listeners might get some ideas out of and be able to improve their businesses. So what comes to mind for you?  Yeah, two things. I’ll start with a high-level analogy and then go a little deeper. It’s the World Cup right now, so I don’t know if you or any of your listeners are following the World Cup. But if you watch Messi play, his playing style is a great analogy for startups. And whether that be a startup externally where you raise venture capital, or even just intrapreneurship if you’re inside of a big company and you’re on an innovation team, et cetera.  From the outside, it looks like startups are always building things and they’re always moving fast, et cetera. But in reality, if you watch Messi play, Messi really doesn’t move that much on the pitch. He just sits around, he observes, he watches, and then when a hole opens up and some opportunity opens up, he breaks for it, and then he goes and executes. But he spends the vast majority of time just sitting there, tinkering, observing, watching. And then if you’re watching him, you’re like, “He’s not working that hard. He’s just sitting around.”  And then he goes and executes. But he’s always observing, he’s always watching, and there’s a real learning in that. I feel like Silicon Valley, as it relates to startups, there’s this pressure that you always have to be building, you always have to be shipping, you always have to be constantly grinding. I think that wisdom is actually counterintuitive because you want to have a thesis in the market, and then you want to be able to test that thesis quickly. So in some respects, you do want to be shipping all the time.  But you don’t want to be working for the sake of work. You want to have a thesis in the market. You want to be building towards that thesis that will happen in the next six months, 12 months, two years. And then you always want to be learning and talking to the market because when that hole does open up, you’ll have the right product at the right time to go and execute on. So I think that's something that we have learned: being patient and staying resolute in your conviction that what you're building is right.Share on X And it can’t just be a gut feeling. It has to be validated by the market.  So we do a bunch of A/B tests every 30 days where we have an idea about a feature or a product or a direction we want to take it. And the thing is, if you can’t get five CEOs on the phone in 30 days to validate if a product is going to be interesting or not, then that’s a signal in and of itself, right? So for anything that we do, we always have a thesis on the market, and then we spend 30 days testing it. And at the end of those 30 days, we get some feedback.  The reason why we do these A/B tests, just to drill down into one level further, is that the idea of a startup or a product that you have in your head, it’s a living entity. It’s always evolving on the basis of who you talk to, what your team is thinking, what you’re reading in the market, et cetera.  And then you’re trying to take that living concept and plug it into a market. But the market itself is also living, right?  You’ve got regulations, you’ve got different macroeconomic cycles, you’ve got companies that have budget, don’t have budget, people getting laid off in different organizations. The market itself is living and evolving. So you have this idea that is living and evolving, and you have a market that is living and evolving, and you need those two things to stick together. And so for us, we’re always wedded to this concept that product at time A is not going to be product at time Z. You need to constantly be doing A/B tests to figure out what that right fit is.  And then when you have that fit, you need to double down on it and grow it into a line of business. But you also need to recognize that there are very few businesses in this world that have been around for more than 200 years, if at all. So whatever your original product idea is, or whatever the feature that gave you product-market fit is today, you have to consciously be aware that, “Hey, that’s not going to be the thing that gets us to IPO in five years’ time.” So you can’t be lulled into this false sense of security. You always have to be waiting, observing, testing, experimenting, growing, and then if you see opportunity, you strike.  Yeah, this is fascinating. Especially now, things are moving very fast with AI creating capabilities all the time for people to test products or to create capabilities that then get disrupted in a couple of months. So it’s interesting that you say that you have to stay resolute in your conviction. So there is a tension there. You build a thesis and you stay resolute, but then you’re testing and the market might tell you not to be resolute.  And then you also told me that companies don’t live forever. So how do you resolve this tension of being stable with your thesis and not letting your conviction be upended, but also being nimble in the changing market dynamics and everything to respond to? So how do you manage the tension?  Yeah, it’s a good question. There has to be a high-level thesis, right? So for us at Stable Sea, it is as simple as: In 10 years from now, will more finance teams and businesses be on-chain or off-chain than today? And so our high-level conviction is, in 10 years’ time, more businesses will be running their treasury stack on-chain. So that’s our conviction. We know, come hell or high water, that is going to be where the puck is going to be in the future, and we’re going to skate to that future.  So if you start with this high-level conviction that more companies are coming on-chain, that is what we’re building for. Now, how they come on-chain is a matter of debate, which is where the A/B test comes in, right? We originally thought it was going to be for payments. So we built all the stablecoin infrastructure to do global payments in 40 different markets.  Turned out to be not the case, actually. And then we started tinkering as we saw the data coming in and were like, “Okay, some companies are using stablecoins for payments, but there’s a bunch of inefficiencies. That world’s still going to take two or three years to wake up. Where is the wedge in the market today?” And so when we started experimenting with capital markets products, we found that there was this massive opportunity that businesses just didn’t have access to a diverse array of yield-bearing strategies, and they wanted that.  And so that was where we were like, okay, let’s get businesses into the on-chain economy through capital markets. And then what we’re finding is, as folks come onto the platform, everyone uses us today for capital markets, and then 20, 30% of our companies say, “Actually, I do have a cross-border payment need, and I already hold money with you. Can you facilitate that payment or that settlement to Mexico, Colombia, Brazil, South Africa, et cetera?”  So for us, when I say you need to stay resolute in your conviction, our why is always: We want to take Wall Street-grade financial services and provision them out to Main Street.Share on X The conviction behind that is that you can do that through on-chain technology. And then in 10 years from now, more businesses will be on-chain than off-chain. How we get to that future in 10 years, who knows, right? And that’s where the fun of the startup is.  You’re always testing. And so for us, we’ve waxed and waned on different product strategies, primarily because the market has changed. And as people start to educate themselves on what the value props are, you see where folks find value, and then you build to that value. And in theory, in three, five, seven years, we should be living in a world where more companies are operating on-chain, and then they might use that full product suite.  But out of the gate, it’s kind of like, where is that value, that wedge? You charge as hard as you can into that wedge, and then you continue to expand your product set over time. All with that high-level conviction of, in 10 years from now, we believe that more businesses will be on-chain than off-chain.  So basically, you want to find the point where you can penetrate that market opportunity, and then it’s a land-and-expand kind of thing. And then you expand from there as the market opportunities evolve over time. But you already have a customer, you’re already building trust with them, and now they’re going to be more disposed to buying from you.  Yeah, that’s right. And I think it’s interesting from a mental place being a startup because you’re forced to think so short-term because you just need to generate revenue, get to the next capital round, et cetera. So you’re always building for the moment. But what we try to do at Stable Sea is we try to think as if we were already a Vanguard and a large company, to the extent that we have the luxury of planning for 10 years.  If you think about it in that regard, it takes a lot of the day-to-day anxiety away. It’s a little bit like, if you listen to Warren Buffett, any time that there’s volatility in the market, he’s like, “Well, it doesn’t really bother me because I’m investing for 50 years.” So, is it up 20%, down 20%? Who cares? In 50 years, it’s going to be up 200%, so that’s all I’m worried about, right? And there’s a real luxury when you come and think about it that way. So that’s why I think if you’re founding anything, or if you’re starting something inside of a company as an intrapreneur, you need to have a strong conviction on where the market’s headed in five or 10 years, and then you need to test towards that future. But that also makes the day-to-day operations of the business a little bit more palatable.  So often, you can get caught up in this whipsaw of, “Big Company A launched this product. Regulation came down, wiped out this company. This competitor raised a Series C, and they have way more money in the bank than we do.” And so you can get caught up in all this minutiae, but it doesn’t really matter if you sit back and you say, “I know that I’m going to find a way to make this business exist for the next 10 years.” In 10 years’ time, what does the future look like? Do I feel strongly that that’s going to be the case? Cool. I’m going to build towards that future. And then whatever the headwinds are in the interim, they’re just short-term temporal problems that kind of come and go along.  Yeah. I mean, I totally agree with you. And interestingly, 20 years ago, or 25 years ago, I didn’t feel like I had enough time to think that long term. But now that I’m older, I actually am more patient to have the long view, which is very counterintuitive.  And Dan Sullivan, who is a coach and the founder of Strategic Coach, he is now, I think, north of 80, and he has this thesis that even at his age, he has a 25-year plan, and that allows him to actually create more value. So that’s fascinating. So switching gears here, what drives growth in your business right now?  Yeah. So we govern the business with an assets under management model. So we have USDC, we’ve got money market funds, we’ve got fixed-income products, we’ve got Bitcoin on platform. So we just look at overarching platform balance. And so that’s the primary, very simple heuristic for how we define success: Is that thing growing month over month, quarter over quarter? That’s how we define growth and measure our growth.  But again, the value prop in terms of what drives that, why do companies actually sign up to Stable Sea? Primarily because they just don’t have access. Almost every business that we have talked to so far, and honestly every business that I’ve interacted with, has idle cash sitting in a checking account someplace. Full stop. And that idle cash could sit there for the weekend, i.e., two days, or it could sit for a quarter. If you’re gearing up for quarterly bonuses in Q1, you will escrow a million, $2 million in Q4 so you can pay out in Q1. Not just the U.S. economy, but every economy, there’s just cash sitting around at a bank, and it’s being underutilized.  And so for us, when we go and finally chat to businesses in the mid-market, lower mid-market, even SMBs, we have a customer on platform that invests $2,500 every week. It almost looks like a checking account, or almost looks like retail behavior in some ways. But they do it because they say, “Hey, I don’t make a lot of money with my business, but if I can eke an additional two, three grand at the end of the year, that’s valuable to me.” And there’s a real poetry to that because they’ve never had access to it. They’ve always wanted it.  But banks, large and small, won’t go build for the long tail of the economy. And so finally, we show up and we say, “Hey, here’s your menu of investment options. Here’s the risk profiles. Here’s how you should think of it. Based on the seasonality of your business, we can get you into the right products.” There’s real utility there, and that’s what kind of drives the value proposition and the growth of the business and the business’s assets under management overall.  So you’re looking for opportunities where you can be additive to customers, where there’s a situation where maybe there’s a gap in the market or there’s friction that they are experiencing with investing their money, and you can be the wedge in that situation and offer them a 3X better solution.  Yeah. Correct. Correct. And again, our tagline internally is, “Keep your bank, upgrade your capital.” Because we really don’t want to compete with the checking account. Where you run payroll, where your invoices land if someone pays you, your day-to-day spend, keep your banking relationships because it’s very difficult to usurp that. And also, we don’t want to get into that. That puts us squarely in this neobank realm where you’ve got great companies like Mercury and Rho and Ramp and Brex and a thousand other companies there.  We don’t really want to go compete with that. We’re more of, if you had the privilege of working with some of the largest transaction banks in the world, that’s what we’re trying to be and essentially provision those services out to the real economy, which is typically access to capital markets, access to global foreign exchange for payments and settlement, and then advisory services, tax reporting, et cetera.  Almost like a democratized private banking service.  Yeah. Yeah. All of us at Stable Sea, we’re trying really hard to steer away from the banking narrative, but yes, in the future, if you take that 10-year perspective, yeah, we will most likely be a private banking solution, a democratized version of that.  Yeah. Fascinating. So what’s one thing that you’re actively trying to figure out right now in your business?  Yeah, it’s a great question. I mean, the one thing that we’re actively trying to figure out is two things, really. One is, so we build directly into ERP systems like QuickBooks or NetSuite or Oracle or SAP, and we have advisory services. So we take a lot of that data, we build our own model weights on top of it, and then we offer that out to our customers so that they can essentially query their own transaction data and use it for different services.  Now, we’ve got strong signal on the first value proposition for that, but I’m curious mostly for owner-operators in the real economy: What are their biggest back-office pain points? And that’s something that we’re trying to figure out because we hear a lot, “Yes, we don’t have access to savings products.” Okay, we can solve that today. “Yes, cross-border payments are frustrating, slow, and expensive.” Yes, we solve that today.  So we’re looking for that third pillar. One of our VCs always talks to us about morphine versus vitamins, where it’s kind of a crude analogy, but if you go to the hospital and you’re in dire pain, you don’t want to be sold vitamins. You want some morphine, and that’s what you’re going there for, right? And when you’re in a startup and you create products, you’re really looking for that morphine of, people just cannot live without this product. And then you can sell all the value-added services around it, which are essentially the vitamins.  And so for us, we’ve found two morphine-like products where there’s a real pain point for accessing capital markets. Primarily, there is no ability to access that today. And then second, cross-border payments: slow, difficult, expensive, opaque, all the things. Solved that. So the third one that we’re trying to figure out now is: How do we A/B test quickly enough to figure out—we have a treasure trove of data building into ERP systems—what is the highest signal-to-noise product that we can build using a diverse data set to help owners operate their back office a little more efficiently?  So you say highest signal-to-noise. Is it the ratio of signal to noise? So what is the product value which you can detect as being a need in the market? Is this what you mean by that? Yeah, yeah. It’s like, what is that one pain point that is so resolute that people are like, “I would do anything to have this thing solved”? There’s all these value-adds like cash flow reporting and automating some of your tax stuff at the end of the year, which are all nice-to-haves. We’re curious. We’re trying to figure out what it is that folks will say, “I’ve got all this data in my ERP system. I would love to know one, two, three things and have A, B, C automated so my back office can run a little bit more efficiently and my accountant doesn’t have to ask me every quarter-end, ‘Where is X, Y, and Z statement?'”  Yeah. I mean, I’ve got some ideas, but I’m sure that you’ve already thought about most of it, so I’m not going to share them. So if someone is listening to this who is a small business or medium-sized business, and they’ve got some cash just sitting around, or they’d like to invest, but they don’t have big enough balances or the transaction costs are prohibitive for their size of investment, whatever the reason, but they are curious about exploring how to have access to better FX rates, more investment products, where can they learn more, and how can they connect with you?  Of course. Well, connect with me on LinkedIn, Tanner Taddeo, pretty easy to find. And then the platform is stablesea.com. So, free to sign up, no cost whatsoever. Also, no cost to use the platform at all. So feel free to sign up right online, and then, yeah, typically it takes us two days to run through the KYB document requests, and then you’re up and running. So, pretty simple. Stablesea.com, free to sign up and start putting your capital to work. Awesome. We try and make it as seamless as possible.  So I’m just wondering, the name of the company, is it something to do with stablecoin? Is it a sea of opportunities for stablecoin?  It was stablecoin for sure. So we started with the word “stable” and then “sea” because we wanted to provide a sea of liquidity. Both for FX, because we do B2B settlements, which are typically large transactions, low volume. You’re not doing twenty $10 million transactions a day. You’re typically doing one $10 million transaction a week or every other week. But you need a deep pool of liquidity to service that.  And then also, from a capital markets perspective, we wanted to be able to provide a sea of liquidity there for different investment options that companies could access based on the seasonality of their cash flow or the risk tolerance that they have as a business. So stable meets sea, so Stable Sea.  Okay. Well, if you want to keep your bank but upgrade your capital, then reach out to Tanner Taddeo, the CEO and Co-Founder of Stable Sea. He’ll get you more investment opportunities that maybe you have not had access to. And if you enjoyed this episode, make sure you subscribe and follow us on Apple Podcasts. Do not miss any episode with exciting entrepreneurs like Tanner. So thanks, Tanner, for coming, and thank you for listening.  Thank you, Steve. Important Links: Tanner's LinkedIn Tanner's website

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper welcome Alex Curran, CEO of Aptitude Software, to discuss AI-native ERP, the changing role of CFOs, and how finance teams can prepare for AI adoption. Alex explains why strong data foundations, flexible architecture, and real-time finance systems are becoming essential.Alex Curran is the CEO of Aptitude Software, a company with decades of experience building finance solutions for complex organizations. After more than 12 years at Aptitude, Alex became CEO in late 2023 and now leads the company's focus on AI-native finance technology, including the Fynapse platform.In this episode, you will discover:Why CFOs are becoming strategic partners in business decisions.Why clean, detailed data is essential for effective AI adoption.What makes an ERP system truly AI-native.How CFOs can evaluate legacy and newer AI-native ERP platforms.Why flexible AI models and real-time finance are becoming more important.Alex explains that successful AI adoption requires more than adding AI features to existing finance systems. Organizations need the right data and architecture to support changing AI technologies while meeting complex finance requirements. Follow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn: https://www.linkedin.com/in/thefpandaguyFollow Alex:Website: http://fynapse.app/LinkedIn: https://www.linkedin.com/in/alex-curran-9aa593b/Future Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[00:56] – Meet Alex Curran[02:32] – Aptitude Software and Fynapse[05:16] – The Changing CFO Role[07:03] – Finance's Data Problem[10:53] – AI-Native Finance Systems[14:33] – Evaluating ERP Options[17:32] – The Future of AI-Native ERP[18:59] – Closing Thoughts

Send us Fan MailMany growing eCommerce businesses reach a point where their existing software can no longer keep pace with increasing operational complexity. Lightweight applications often lack the capabilities needed to support higher order volumes, expanding sales channels, and more sophisticated inventory and fulfillment requirements, while traditional ERP systems can be overly complex, costly, and difficult to implement. As the business scales, disconnected systems, manual processes, and fragmented data become increasingly common, reducing visibility across operations and making it harder to respond quickly to customer demand. The result is slower decision-making, operational inefficiencies, and shrinking margins at a stage when agility and scalability are essential for continued growth.In this episode, Sam Gupta and Shrestha Dash from ElevatIQ, Andy Pratico from Essential Software Solutions, and Phil Coerper from Ringling Business Solutions conduct an in-depth independent review of a leading FP&A platform Fulfil.IO.Video: https://www.elevatiq.com/events-and-webinars/fulfil-io-ai-powered-ecommerce-operations-platform-review-independent-in-depth/Questions for Panelists?

Send us Fan MailProduct-centric organizations operate in an environment where inventory, supply chain execution, and operational efficiency directly influence profitability. Unlike service-based businesses, manufacturers, distributors, wholesalers, retailers, and other inventory-driven companies require an ERP that tightly connects procurement, production, warehousing, planning, logistics, and finance into a single operational framework. Real-time visibility into inventory, costs, and business performance is essential for controlling margins, meeting customer expectations, and adapting to demand fluctuations. Choosing an ERP without fully accounting for these operational realities often results in fragmented processes, limited visibility, unnecessary customization, and costly workarounds that hinder long-term growth.In this episode, our host Sam Gupta discusses the top ERP Systems for product-centric industries In 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=E1FQNqyHNQ4Questions for Panelists?

Chris and Jake Yap were two weeks from shutting down. A billion-dollar retailer had copied every product they launched and sold them for one tenth the price, then put it in the news - buy this coffee table from us for $499, or from them for $49. They'd burned their business savings, their personal savings, and taken out personal guarantee loans chasing speed. Jake was telling his wife he wasn't sure he could make rent. Then in those two weeks they made one switch that changed everything: instead of testing designs, they started testing problems. Little Lively launched last October, grew 30% compounding month on month, went worldwide in the same month it launched, and now spends around $600,000 a month on Meta. In this interview, Chris and Jake break down the exact testing framework that found their winning product, why they killed 700 SKUs to bet everything on one, and how they built an internal AI agent that runs across their entire company. What you'll learn in this interview: • The switch from testing designs to testing problems - and why it saved the business in two weeks • How they turned $10 wireless chargers off Alibaba into $300K cash in their first year • The Abundance Framework: testing up to 1,000 designs a week before ever committing to production • Why fast-fashion-style furniture drops became a vicious discount cycle that nearly killed them • How suppliers with 60-day payment terms effectively became their investors - and the relationship approach behind it • The 60 ROAS launch: what happens when you actually solve a real problem • Why they now welcome copycats - and how being 4-5 years ahead on the roadmap makes competitors into free marketing • Why they launched worldwide in the same month instead of proving one market first • "Australia is small and hard, the US is big and easy" - the contrarian take on market selection • Caesar: the company-wide AI agent living in their Slack that their team used to build an entire ERP system from scratch If you're running a DTC brand, drowning in SKUs and discounts, or trying to figure out how to find the one product worth betting everything on, this conversation will fundamentally change how you think about focus, product testing, and what it takes to come back from the brink. WANT TO GROW YOUR BRAND WITH META ADS? Join the Foundr Operators Waitlist → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/operators⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ HOW WE CAN HELP YOU SCALE YOUR BUSINESS FASTER Learn directly from 7, 8 & 9-figure founders inside Foundr+ Start your $1 trial → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/startdollartrial⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ PREFER A CUSTOM ROADMAP AND 1-ON-1 COACHING? → Starting from scratch? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-start-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ → Already have a store? Apply here → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foundr.com/pages/coaching-growth-application⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH NATHAN CHAN Instagram → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/nathanchan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/nathanhchan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ CONNECT WITH LIFELY Instagram → https://www.instagram.com/lifelyhome/ LinkedIn →https://www.linkedin.com/company/lifelyhome/ Website → https://lifely.com.au/ CONNECT WITH JAKE YAP LinkedIn → https://www.linkedin.com/in/jake-yap/ CONNECT WITH CHRIS YAP LinkedIn → https://www.linkedin.com/in/chris-yap-185964198/ FOLLOW FOUNDR FOR MORE BUSINESS GROWTH STRATEGIES YouTube → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/2uyvzdt⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Website → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.twitter.com/foundr⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/foundr/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Podcast → ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.foundr.com/podcast⁠

In this episode, I share how AI can unintentionally reinforce OCD, and how, with the right prompts and an ERP-focused approach, you can use it as a tool that supports your recovery instead of strengthening your compulsions.

The Ringer's Bill Simmons is joined by Mina Kimes to preview the NFL season before giving their QB rankings. Then, Billy Gil and Anthony Dabbundo hop on to react to the MLB trade deadline. Finally, David Shoemaker joins to react to SummerSlam Night 2, discuss WWE on ESPN, and talk about his new Hulk Hogan book, ‘Why Hulk Hogan Matters.' (0:00) Intro (2:51) 2026 NFL QB rankings with Mina Kimes (01:12:28) MLB trade deadline reactions with Billy Gil and Anthony Dabbundo (02:08:23) SummerSlam, WWE on ESPN, and Hulk Hogan with David Shoemaker Host: Bill Simmons Guests: Mina Kimes, Billy Gil, Anthony Dabbundo, and David Shoemaker Producers: Chia Hao Tat and Eduardo Ocampo SAP GROW. AI cloud ERP for any size business. Put ChatGPT to work on your most ambitious ideas and projects. Get started at https://ChatGPT.com by selecting Work mode. Available on Plus and Pro plans The Ringer is committed to responsible gaming. Please visit https://fanduel.com/playwithaplan to learn more about the resources and helplines Learn more about your ad choices. Visit podcastchoices.com/adchoices