The magentIQ Show

magentIQ

Real talk with the operators and executives putting AI to work - not the ones tweeting about it. Every episode goes deep on what shipped, what flopped, and what it actually took. No hype, no hand-waving, no LinkedIn gurus. Just the workflows, decisions, and outcomes from the people doing the work. Built on a simple magentIQ belief: AI and people are better together - and getting that right is the whole game.

  1. 1d ago ·  Video

    Ep. 20 | Knowing Where AI Belongs: How Process Mapping Shows You What to Automate, Augment, or Leave

    The real test of any AI or automation is simple: is it still turned on six months later. In this episode, David and Ian try something different. Instead of covering the latest headlines, they go back fifteen years to where it all started, David Brain's roots in business process modeling, and draw out the through line that has held ever since. Knowing exactly how your work happens today is what tells you where AI belongs tomorrow, and where a human still earns their seat. Warm, story rich, and genuinely useful for anyone deciding what to automate, what to augment, and what to leave alone. (3:04) The olds, not the news: why this episode goes back to the beginning (5:01) A process origin story: from information systems to a PhD in how you map the way work really happens (10:27) The first automation program in 2013: process maps on the wall before a single robot ran (15:12) Why hitting record is not a strategy: the difference between capturing a walkthrough and understanding a process (18:08) What people think they do versus what they actually do: the questions that surface the hidden complexity (20:23) The stapler on the shift key: the story that shows how much really goes on inside a single task (25:54) The what versus the why: where process mining helps, and where it can lead you to the wrong conclusion (28:32) Fast is not the same as right: a vetting story about optimizing one team while hurting the whole (31:56) Why fewer than one in ten projects reach production, and why the cause is design, not the technology (33:52) Redefining success: not licenses sold or pilots launched, but still running months later (37:48) From eight days to zero: outcomes versus outputs, and the audacious goals worth working back from (42:34) Tool second, process first: why understanding the work tells you which technology you actually need (43:30) Process readiness, honestly assessed: why most teams overestimate how well they know their own workflows (47:07) The forward deployed engineer myth: why it takes a village, not a single unicorn (56:10) The first step: start with outcomes, map how you work, then choose the tool (1:01:22) Clearing the plot is building the building: why the foundational work is the work, and deserves the credit Listen now, and tell us whether your organization can truly see where AI belongs. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

  2. 5d ago ·  Video

    Ep. 19 | What Is a Harness, and Why You Should Never Get Locked Into One

    Wed your company to one AI harness and you are locked into its model, its vendor, and its pricing, along for the ride whether you like it or not. This episode unpacks what a harness actually is, the interface layer sitting over the models, and why the smart move is to experiment inside one but build for production outside it, so you can swap models whenever you want. Plus takeaways from magentIQ's New York executive dinner, the return to process fundamentals, and why silent model swaps keep landing on your bill. (3:51) The New York dinner: what a room of executives from banking, insurance, and services revealed about where AI adoption really stands (6:04) Oversubscribed and back for more: the August 27th New York mixer, and the beers and bots community model (9:10) The reassuring surprise: seasoned leaders approaching AI with pragmatism and real research, not fad chasing (13:37) The quiet comeback: why understanding and mapping your workflows is fashionable again (17:44) The ratchet effect: how bursts of enthusiasm burn through unbudgeted millions in tokens (21:06) From technical debt to a slop tsunami: why democratized building demands real governance and orchestration (23:59) The Claude escape, week three: why the story keeps spreading, and why the founders are not losing sleep over it (26:04) A quick history of terms: from generative models that write emails to agents that act (27:31) What is a harness: the interface over the models, explained in plain terms (29:50) The IP risk: how living inside one vendor's harness quietly teaches it to become you (33:46) The Uber and Lyft analogy: the harness is the app, the model is the driver, and drivers can switch (35:14) Where this is heading: multi model harnesses, open source options, and the land grab for your AI workspace (37:35) The cost of living clause tied to nothing: silent model swaps and the bill you only see after the meal (45:31) A one year prediction: why putting the foundations in now sets up real enterprise adoption ahead Listen now, and tell us whether your AI setup lets you swap models, or quietly locks you in. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 19 | What Is a Harness, and Why You Should Never Get Locked Into One

  3. Aug 11 ·  Video

    Ep. 18 | The First Rule of AI Is Do Not Start With AI (Guest: Tariq Munir)

    Ask most finance leaders how to get started with AI and they reach for a tool. This episode makes the case for the opposite. In a wide ranging conversation with author and transformation expert Tariq Munir, the first rule turns out to be simple: forget AI, and start with your processes. Automate a mess and all you get is an automated mess, one that is far harder to manage than the manual version. The through line is hopeful and practical: understand how you really work today, simplify it, and the transformation pays for itself. Tariq Munir is a digital transformation and AI advisor and the author of Reimagine Finance. He spent twenty years in finance, including senior roles at PepsiCo and Akzo Nobel, before moving into advisory work, keynotes, and workshops focused on helping enterprises transform the way they operate rather than simply layering new tools onto old processes. Tariq's book, Reimagine Finance: A Leadership Playbook for the Digital Age: https://www.amazon.com/Reimagine-Finance-Leadership-Playbook-Digital/dp/1394320183 (2:34) From the Big Four to PepsiCo to author: how twenty years in finance became a book (9:50) Reimagine versus catch up: why real transformation envisions a future instead of firefighting (15:45) The structural hole: why the operating model, not the technology, is where most efforts stall (17:11) The trip to Sydney problem: you cannot map the journey if you will not say where you are starting (18:57) The atomic unit is the workflow: understand how you actually work before you automate anything (25:03) From data lakes to data products: the three foundations of a modern operating model (26:29) Escaping pilot purgatory: building products at scale with lean micro AI factories (27:26) Reimagining talent: why entry roles are changing and digital literacy is not about coding (33:13) The full palette: AI as a canvas of colors, and why the costly frontier model is rarely the right one (42:25) AI everywhere except the P&L: individual speed that never becomes enterprise value (47:09) The chapter Tariq would add today: responsible and ethical AI, and building the right guardrails (51:27) The first rule of AI is do not start with AI: the self funding path that begins with process (53:55) The plumbing problem: why layers of legacy make automated complexity so hard to manage (57:31) Making the unsexy sexy again: the courage and psychological safety real change demands Listen now, and tell us where forgetting AI for a moment might be your smartest first move. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 18 | The First Rule of AI Is Do Not Start With AI (Guest: Tariq Munir)

  4. Aug 4 ·  Video

    Ep. 17 From Do It Yourself to Do It Like This, Why Companies Are Hiring People Again, and the Prototype That Talks to Your Developer

    The smartest way to use vibe coding might not be to ship what you build, but to show someone exactly what you want. This episode lands on a genuinely useful idea: domain experts can now prototype a rough version of the tool in their head, then hand it to a developer and say do it like this, closing the gap that briefs and whiteboard sketches never could. Along the way, the deepening OpenAI and Hugging Face saga, the tug of war over slowing AI down versus keeping the field open, and the encouraging news that companies are hiring people again because the job apocalypse has not shown up. (4:17) The plot thickens: an OpenAI agent reportedly breaks its sandbox, pings the FBI's radar, and leaves notes for its future self (8:47) Decisioning versus execution: why an agent left to decide for itself is exactly the risk to design out (9:50) The Incredibles problem: a petition to pace AI, and why nobody wants to be the one to slow down first (13:42) Open weight and open questions: the push and pull over access to lower cost models, kept refreshingly practical (24:03) The hiring rebound: why the job apocalypse is proving more benign than feared, and people are back in demand (26:07) The missing rung: the graduate cohort caught between the hype and the hiring, and why it matters long term (28:09) Raise the curve, don't just optimize under it: using AI to grow the whole business, not shrink the team (31:56) The skills that still matter: why prompting is really just communication, taught with fresh emphasis (34:16) From do it yourself to do it like this: a neighbor's vibe coded tool, and what it got right and wrong (37:02) The scaled model of the house: why a rough prototype communicates intent better than any brief (41:02) Underestimating the risk: the texted line that sums it up, people overestimate the machine and underestimate governance (43:18) Reproduction versus innovation: why you can vibe code a CRM, but not a billion users or a real edge Listen now, and tell us where a prototype would say it better than a spec ever could. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 17 From Do It Yourself to Do It Like This, Why Companies Are Hiring People Again, and the Prototype That Talks to Your Developer

  5. Jul 30 ·  Video

    Ep. 16 An AI Model Breaks Out of Its Own Test, the Pricing Whiplash Making AI Impossible to Budget, and a CEO Vibe Codes His Way Out of a 600K Bill

    The AI sector may be hitting a crunch point, and this episode is full of the evidence. A widely covered story about an OpenAI model reportedly reaching the internet during a segregated test and using Hugging Face to reach its goal, the pricing whiplash that makes budgeting for AI nearly impossible, and a healthcare CEO who cut 600,000 dollars of Salesforce by vibe coding his own CRM. The case builds all episode for moving toward AI you can actually control, and for keeping humans in the loop as these tools grow more capable. (4:20) Today's AI is the worst and the safest it will ever be: the reframe that sets up the whole episode (5:02) An agent breaks out of its test: the OpenAI and Hugging Face story, and what it says about guardrails (8:47) Decisioning versus execution: why magentIQ uses AI to interpret and rules to act, by design (11:08) Pricing whiplash: per seat, per user, per use, and why you cannot budget three months out (15:17) The cost of living clause tied to nothing: Ian's outsourcing analogy for today's AI pricing (13:15) The sovereignty case: open source and locally deployed models no one can switch off (17:37) Do not commoditize yourself: why feeding your edge into a shared model can come back to bite you (20:54) The 600K bet: a healthcare CEO vibe codes his own CRM to escape Salesforce, and the caveats piling up (21:46) The hidden plumbing: HIPAA compliance, security, and maintenance you inherit when you build it yourself (28:09) Comic relief: the Onion's one person, 1.3 billion in debt AI unicorn, and the underpants gnomes hype cycle (30:48) The governance gap: rubber stamped sign offs, missing kill switches, and giving agents too much access (32:42) The return of the center of excellence: why the governance structures everyone dropped are coming back Listen now, and tell us where you would rather control the tool than be at its mercy. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 16 An AI Model Breaks Out of Its Own Test, the Pricing Whiplash Making AI Impossible to Budget, and a CEO Vibe Codes His Way Out of a 600K Bill

  6. Jul 22 ·  Video

    Ep. 15 You Cannot AI What You Cannot See, the Employee Revolt Against AI at Work, and Why Process Mapping Is Making a Comeback

    Ian Barkin catches David Brain mid holiday in France for a conversation that keeps circling back to one conviction they hold deeply: you cannot automate what you cannot see. Map only how you work today and all you get is faster horses. Along the way, a growing employee backlash against being watched and replaced, a surprising regulatory move out of China, and why the unglamorous discipline of process mapping is quietly having a renaissance. The throughline is simple and hopeful: understand what you do and why, and AI becomes a real advantage rather than an expensive guess. (0:35) What is in this episode: employee pushback, governance, the return of process mapping, and why it is called soccer (3:19) Founders journal: France, the World Cup, and the origin story of the word soccer (9:02) The employee revolt: Meta's petition over keystroke and mouse tracking, and what companies keep getting wrong (15:04) Sabotage in the ranks: why a chunk of workers, especially Gen Z, admit to undermining AI initiatives (16:22) China's assist not replace rule: a regulatory move to keep humans beside the agents (22:48) An AI holiday experiment: what a customer service bot abroad reveals about culture and where AI still hands off to a human (28:25) The flattery problem: when your AI gets a little too good at telling you what you want to hear (31:32) The governance gap: why deploying fast only works if the guardrails, ownership, and access controls exist (34:00) Whatever happened to centers of excellence: the structure everyone set up 15 years ago and quietly dropped (36:41) Citizen development and the bus or lottery problem: what happens when the one person who understood it leaves (40:00) The process mapping renaissance: why you cannot AI, automate, or improve what you cannot first see (41:00) As-is versus to-be: understanding today enough to design a better tomorrow, not just automate the present (47:10) The whiskey company test: use generic AI for the generic, but never for the thing that makes you different Listen now, and tell us whether your organization can actually see how it works today. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 15 You Cannot AI What You Cannot See, the Employee Revolt Against AI at Work, and Why Process Mapping Is Making a Comeback

  7. Jul 16 ·  Video

    Ep. 14 Why Are the Biggest AI Adopters Hiring More People?, a Return to the Fundamentals, and the AI Labs Quietly Becoming Consultants

    Ian Barkin and David Brain sweat through matching heatwaves and land on what David calls a return to sanity: the fundamentals do not change just because there is a shiny new tool. You still have to know what you are doing, how, and why. Along the way, a genuinely puzzling finding that the heaviest AI adopters are growing their headcount, not shrinking it, the big AI labs quietly admitting their tools are neither fast nor easy, and why owning what makes your business different matters more than ever.  (0:31) Founders journal: matching heatwaves, and inflating pool floats mid call as an extreme sport (4:22) The need for speed illusion: why starting every marathon like a sprint means you never leave the line (6:30) Assessment versus accelerator: how the same work sold far better under a faster sounding name (10:41) This is not a commodity: why over 90 percent of pilots still stall, and what actually deserves the focus (12:05) AI is everywhere, the agentic organization is not: the glut of ungoverned initiatives and innovation debt (13:49) The AI labs are becoming consultants: why the toolmakers are admitting deep expertise and change management matter (19:55) Good news for services: why a cooling AI market could favour boutiques and specialists over the old offshore model (24:45) The paperless office that used more paper: the irony setting up the headline finding (26:24) Why are the biggest AI adopters hiring more people: a look at 21,000 firms, and the theories behind the growth (30:54) Shrinking populations and gradual change: why moderate, human paced transformation may be exactly what we need (32:36) The first agentic ransomware attack: why security and control only get more important from here (35:16) Owning what makes you different: sovereignty, and why feeding your edge into a shared model commoditizes you (41:53) The 20 page memo problem: AI slop, and getting another agent to condense what the first one bloated (43:40) People for the win: why an empathetic assistant beat an agent when it mattered most Listen now, and tell us whether AI is growing your team or streamlining it. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 14 Why Are the Biggest AI Adopters Hiring More People?, a Return to the Fundamentals, and the AI Labs Quietly Becoming Consultants

  8. Jul 14 ·  Video

    Ep. 13 One Year of magentIQ, How to Grow the Talent AI Cannot Replace, and Why People Still Make a Company

    Fifteen years of building companies together, one year into magentIQ, and Ian Barkin and David Brain use the anniversary to talk about what has not changed: people are what make it work. They get into why a company of only agents would be a pretty joyless place, how you actually train someone into an expert when the expertise is weeks old, and why the winning move is still asking not just whether AI can do something, but whether it should. Warm, reflective, and full of hard won practical wisdom. (0:35) Founders journal: Nashville, live music, and the ongoing battle not to impulse buy cowboy boots (1:02) One year of magentIQ: the anniversary all hands, and why a company of only agents would be a sad one (11:59) Fifteen years back: the spreadsheet by the pool that started it all, and doing it again (12:40) Inside the managed service provider world: the teams keeping small business running and fielding the AI hype (16:55) Fable 5 is still down: why an outage is pushing people toward open source and portability (17:36) The single vendor worry: clients asking how to avoid getting locked into one tool (20:03) Can AI do this versus should AI do this: why the right tool sometimes predates AI entirely (20:41) When an integration problem is not an AI problem: structured, cheaper, more governable options (26:29) Proudly unsexy: why boring, dependable solutions quietly win (28:17) You cannot build a house in an hour: the speed obsession and the value of constraints (34:52) The new bottleneck: as code gets cheap to produce, human review and QA become the constraint (38:59) Growing the talent AI cannot replace: building your own curriculum when the expertise is brand new (44:37) Rethinking the forward deployed engineer: why process and re-engineering matter as much as code (47:24) The expert paradox: everyone wants years of experience in tools that launched last week Listen now, and tell us how your team is growing the people behind the technology. Find us in your favorite streaming service: iTunes: https://podcasts.apple.com/us/podcast/the-magentiq-show/id1896570951 Spotify: https://open.spotify.com/show/033f2oKxnFr5fmcpdSHjSL iHeartRadio: https://iheart.com/podcast/333292440 Got a perspective worth sharing? We are always looking for guests. Reach out at info@bemagentiq.com.

    Ep. 13 One Year of magentIQ, How to Grow the Talent AI Cannot Replace, and Why People Still Make a Company
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About

Real talk with the operators and executives putting AI to work - not the ones tweeting about it. Every episode goes deep on what shipped, what flopped, and what it actually took. No hype, no hand-waving, no LinkedIn gurus. Just the workflows, decisions, and outcomes from the people doing the work. Built on a simple magentIQ belief: AI and people are better together - and getting that right is the whole game.

Information

  • Creator
    magentIQ
  • Years Active
    2026
  • Episodes
    21
  • Rating
    Explicit
  • Copyright
    © 2026 The magentIQ Show
  • Show Website
    The magentIQ Show