Invisible Machines podcast by UX Magazine

For-profit companies keep discovering that agentic AI wants a longer bet than the quarter will allow. Mona Leung, former CFO at Alliant Credit Union and CFO consultant at Digital Federal Credit Union, has spent significant time on the other side of that pressure. At a credit union, the customers and the shareholders are the same people. The profit conversation and the service conversation already face the same direction. Josh Tyson and Robb Wilson sit down with her on why that structure is an AI strategy.She walks the Bezos flywheel and then shows where it leaks. In a commercial firm, owners sit outside the circle of customers. First to market can beat “is this what they need?” A credit union earns its capital, can’t raise it from outside investors, and can choose the simpler product on purpose. It also doesn’t compete with the credit union across town. The machinery for sharing technology is already there: corporate credit unions, CUSOs, regions that talk to each other. Point one institution at member experience, another at underwriting, another at growing talent, and a sector with thin capital can still build a shared brain.Also in this episode: Why “slow down” is the wrong instruction and social context is the missing one;Canonical knowledge versus the context you pull for a single task; A feedback loop that writes back every time someone reads; Data, information, knowledge, and wisdom, told through a birthday and a first bank account; How NASA did this without AI, one role at a time; Why judgment stays human—AI has nothing to lose, and no guilty conscience; The corporate loop of “need more information”; Where the money goes when a company cuts the people; An AI project that created work instead of deleting it; Banks that ration by friction; A service blueprint whose objective is to facilitate the journey, not to end the call in ninety seconds.--------- Support our show by supporting our sponsorsThis episode is supported by OneReach.aiForged over a decade of RD and proven in 10,000+ deployments, OneReach.ai's GSX is the first complete AI agent runtime environment (circa 2019 — a hardened AI agent architecture for enterprise control and scale.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceGet in touch! --------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon#FinancialServices #CreditUnions #Banking#AIStrategy #AgenticAI #TechPodcast#DigitalTransformation#InvisibleMachines

For twenty-five years, Ben Reason and Lavrans Løvlie have been trying to give services the design quality people already expect from a product. Everybody knows what a designed BMW feels like. Almost nobody loves their bank, their hospital, or their mortgage. A product is the contract. A service is everything before it, during it, and after you are done, and it includes the relationships people do not aspire to: tax, a prison, a claim.Josh Tyson and Robb Wilson sit down with them at the moment that work stops being a specialty and starts being the bottleneck. Organizations accepted that they needed a better experience, then got stuck behind a backlog. AI takes the backlog away. Anyone can produce software. What they cannot produce, unless someone designs it, is a service worth running. Robb calls the failure mode vanity token burning: fun for the person at the keyboard, expensive for the company, and often pointless for the human on the other end. Service design was built, from the start, around whether a service can last economically, and in Ben’s original frame, sustainably.The asset is specific. A service blueprint used to die of its own detail: gorgeous, complete, and impossible for an organization to use. The useful version now comes in two fidelities. A compression humans can read and approve (finance, the business, the CEO with an A3 in a briefcase). A hydrated version agents can execute. Blend them and both audiences lose. Lavrans’s line: there is a design job and a build job, and when machines do more of the building, the blueprint becomes the system prompt.Also in this episode: Why people do not want seamless, they want the right friction (a UK student-loan team that refused to make the first big borrow feel fast;an insurer that dropped “tell us what happened” and lost trust); Why vanilla is a gift for public services and a nightmare for a brand; A European telco whose sales director would not believe that 60 percent of store visits were service; why the CEO has to own the blueprint (including the one outside Brian Chesky’s office); Why you start with nurses and frontline staff, not the customer poster; A live simulation of Norway’s alcohol regulations, where removing the application saved thousands of hours and immediately billed the savings to police and healthcare.LINKS:Service Design: From Insight to ImplementationService Design for Business: A Practical Guide to Optimizing the Customer Experience --------- Support our show by supporting our sponsorsThis episode is supported by OneReach.aiForged over a decade of RD and proven in 10,000+ deployments, OneReach.ai's GSX is the first complete AI agent runtime environment (circa 2019 — a hardened AI agent architecture for enterprise control and scale.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications. A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceReach out to OneReach--------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon#ServiceDesign#ServiceBlueprint#AI #AIAgents #AgenticAI#CustomerExperience#DigitalTransformation#InvisibleMachines

Three years after The Song of Significance, Seth Godin returns to Invisible Machines on the day his new book arrives, The Knot: Problems Can Be Solved. The compression of his body of work is now a sorting tool. Most stuckness is not a lack of information, it's an entanglement—two incompatible wants held at once. Effort doesn’t help. You stay stuck until you name the pin, pull it out, and loosen the knot.Josh and Robb press him on what that means when the change agent is AI. Seth’s first move is not “purpose” as a poster. It is a sharper pair of questions: what’s this work for, and who is it for? Fake mission statements are easy. Johnson & Johnson can engrave patients in granite ten feet tall and still get caught serving the bonus pool. A person will wink. A model will not. Lie to AI and it will believe you.Also in this episode: why Seth believes AI is the biggest change since electricity—and why the washing-machine demo was perfect while the real machines were killing people; why a CEO who demands perfection or ignores the tool is making the same mistake; proximal empathy (you cannot be a tourist); San Francisco vs Topeka as scaffolding, not IQ; individuals using AI at the micro level while companies keep the wrong business model; furniture makers who should have become designers; you are the circumstances; toolmakers selling screwdrivers vs FedEx selling a whole solution; constraints as a gift (“you can’t think outside the box—it’s very dark out there”); false proxies like counting tokens (IBM already learned this with lines of code); empathy-based compromise vs the compromise of average; and a future of AI that is networked, not solo.Guest: Seth Godin—The Knot: Problems Can Be SolvedHosts: Josh Tyson, Robb Wilson—Invisible MachinesThe Knot is available now!Prior visit: S1E14 — Seth Godin on The Song of Significance#SethGodin #TheKnot #InvisibleMachines #AI #AgenticAI #Leadership #FutureOfWork #Marketing--------- Support our show by supporting our sponsorsThis episode is supported by OneReach.aiForged over a decade of RD and proven in 10,000+ deployments, OneReach.ai's GSX is the first complete AI agent runtime environment (circa 2019 — a hardened AI agent architecture for enterprise control and scale.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceGet in touch!

The demo works. People start depending on it. Then one morning you have to explain yesterday's decision to someone who wasn't in the room.That is the moment most “agentic” projects discover they were never orchestrated. They were demos.Josh Tyson and Robb Wilson take the word the market glued together—agentic orchestration—and refuse to treat it as a contradiction. Agentic has come to mean autonomous, probabilistic, experimental. Orchestration, in any domain that cannot afford a wrong answer, has always meant the opposite: consistency, an envelope, a decision you can certify. The collision is the point.Vendors map the first axis: how calls flow. Anthropic splits workflow from agent. LangChain draws a wiring diagram. Google ADK argues about execution order, sometimes with itself. Analysts named a layer above those vendors—an Agent Management Platform, six boxes of furniture. Useful. Incomplete. The missing axis is who is allowed to decide, and whether that decision is deterministic or probabilistic.The on-ramp is Jonathan Frankle’s smoothie: fusion-grade intelligence, no power lines. The existence proof is the 787. Seventy applications, twenty-plus suppliers, no manual option, an execution envelope that keeps the ride consistent long before the guardrails that keep the plane from crashing. You cannot trust the orchestratee to be the orchestrator. You cannot search a new recipe every time. And if you built it as a kitchen smoothie, then the organization started depending on it, you do not get to patch. You start over.We cover: why mission-critical agentic orchestration only sounds like an oxymoron, the railroad / hovercraft / cars-on-roads hybrid, envelope versus guardrails, the five decision patterns every production system already contains, and the question that opens episode two—do we trust it?Definition: Agentic orchestration is how you meet an objective with a hybrid of code and probabilistic systems—inside an envelope that stays consistent, even when the path through it is not on rails.Gartner (map, not curriculum): https://www.gartner.com/reviews/market/ai-agent-management-platforms BOAT Magic Quadrant (15 Oct 2025) Emerging Tech (27 Jan 2026): Enterprise AI Will Fail to Scale Without Agentic Orchestration PlatformsHosts: Josh Tyson and Robb Wilson, co-authors of Age of Invisible Machines#AgenticOrchestration #AIAgents #InvisibleMachines #787 #MissionCritical #AgenticAI #UXDesign #Gartner #OneReach #Databricks--------- Support our show by supporting our sponsorsThis episode is supported by OneReach.aiForged over a decade of RD and proven in 10,000+ deployments, OneReach.ai's GSX is the first complete AI agent runtime environment (circa 2019 — a hardened AI agent architecture for enterprise control and scale.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceGet in touch: https://onereach.ai/contact/?utm_source=soundcloud&utm_medium=social&utm_campaign=s7e17&utm_content=1 

Three years after his first Invisible Machines visit, Don Scheibenreif returns with a sharper read on the trough: everybody knows generative AI, almost nobody has answered what it does to the business model. He led Gartner’s Autonomous Business research, the successor to digital business, and co-authored When Machines Become Customers. The through-line is that AI is a tool, the harder question is how to create value with it.Josh and Robb press him on token maxing as a vanity flex. Don calls it a lazy metric, pointing to more interesting questions: where are you more productive, which processes were reinvented, what happened to talent, and what are you doing with the investment? 80% of CEOs see it as the #1 transformative tech and want disruption, but most are settling for efficiency theater and middle-manager cuts while boards ask for more tech-savvy leadership. In Don’s framing this comes with rolling up your sleeves, not mandating from above.Also in this episode: The hyper hype cycle (peak → trough → peak loops as the tech moves faster than before);Organizational bullwhip vs organic individual use; Fear as brakes on the system; Crisis engineering and the plans that are lying around; The risk that AI in the hands of people eliminates companies before AI in companies eliminates jobs; Machine customers and retailers already blocking agent access while Amazon’s Buy for Me goes outside the walls; Agents that work for you vs agents that work for the vendor; Human brand vs machine brand; Service design and customer effort score; Frontline managers as the linchpin; and The next research wave Don names at the close: implementation platforms, ethics, and safeguards.When Machines Become Customers (book): https://www.gartner.com/en/publications/when-machines-become-customersCustomers Don’t Reject AI...They Reject Being Dehumanized: https://www.youtube.com/watch?v=x6ZqXVXRWIw--------- Support our show by supporting our sponsorsThis episode is supported by OneReach.aiForged over a decade of RD and proven in 10,000+ deployments, OneReach.ai's GSX is the first complete AI agent runtime environment (circa 2019 — a hardened AI agent architecture for enterprise control and scale.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceGet in touch: https://onereach.ai/contact/?utm_source=soundcloud&utm_medium=social&utm_campaign=s7e16&utm_content=1 --------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#GenerativeAI#AIAdoption#MachineCustomers##AIInEcommerce#AIAgents#DigitalTransformation#FutureOfWork#BusinessStrategy#InvisibleMachines