Process Debt

AI is making individuals dramatically more productive. So why aren't teams getting better?

Chris and Toby dig into the structural problem nobody's talking about: AI generates unique output every time by design, which makes it nearly impossible to operationalize across a group.

They cover the confident intern problem, why code commits going up while QA debt piles up is a perfect metaphor, the MIT recall study that should give pause, and where AI is actually generating real team leverage versus where it's just making individuals faster in silos.

No predictions. No hype. Just an honest look at where we are.

There's a concept in lean manufacturing called the gemba — the "real place" where value is actually created. You go to the gemba to see what's happening. You walk the floor. You watch the process. You find the waste.

Peter Weiss spent years doing exactly that. Process engineer turned operations leader, he ran manufacturing businesses in Thailand, got his MBA, and walked into his first turnaround assignment armed with every tool he needed. The KPIs improved. The investors were happy. And every single person on the floor hated him.

He lost the job after a year and a half.

"Instead of looking to the outside and saying the others are all wrong," he told us, "I said it has something to do with me."

What followed was a ten-day Vipassana retreat, a fundamental reorientation, and eventually a concept he now calls the inner gemba — the place inside us where information gets processed, emotions arise, decisions get made, and most of the real waste in knowledge work quietly accumulates.

In manufacturing, waste is measurable. In knowledge work, it's invisible until you start tracking it.

This week, Chris and Toby get into the real cost of context-switching, why the standard office software suite is designed to distract you, and what a McDonald's fry factory can teach us about why knowledge work goes wrong. They also revisit a principle that shows up in every bad rollout: we change too fast, too confidently, and without ever going to the shop floor to see what's actually happening.

If you've ever ended a busy week wondering what you actually shipped this one's for you.

Why do some managers keep producing great leaders — and others just keep producing turnover?

In this episode of Process Debt, Chris and Toby dig into the concept of the coaching tree: how legendary coaches (and managers) pass down not just skills, but standards, culture, and ways of moving through the work.

They also explore the darker flip side — the corruption tree — and why most organizations accidentally reward the people who start fires over the people who quietly prevent them. If you've ever worked for someone who made you better, or for someone who made everyone around them worse, this one will name something you've felt but never had a word for.

Topics include: why great managers are invisible until it's too late, the "arsonist" pattern in business leadership, psychological safety as a precondition for any real process improvement, and what a coaching tree actually has to do with process debt. Practical, honest, and zero Six Sigma required.

AI is everywhere in your SaaS tools right now but is it actually helping, or just getting in the way?

In this episode, Chris and Toby break down what good AI integration actually looks like (

• Loom's auto-generated SOPs,
• Monday's document extraction,
• Jira's plain-English queries

These versus what's just vendor noise dressed up as innovation. They also get into something most people aren't talking about yet: what happens when AI gives non-technical employees direct access to live business systems and nobody's built the guardrails yet.

If you've ever had someone "just make a quick change" in your work management tool and spent the next hour figuring out what broke, this one's for you.

AI showed up in your tools without a kickoff meeting, a training plan, or anyone's approval. And now it's quietly changing how your team works whether you've sanctioned it or not.

In this episode, we dig into what makes this adoption moment different from every SaaS rollout you've survived before. We look at a dead-simple three-gate framework from change management researchers at Prosci — should this task be done by a human, by a human with AI, or by AI alone — and why that question is harder to answer than it sounds.

We also get into the economics nobody in consulting wants to discuss out loud: when AI compresses a 10-hour job into one hour, where does that value actually go? And what happens to the organizations quietly accumulating AI-assisted process debt while nobody's watching?

No hype. No predictions about AGI. Just an honest conversation about what it looks like when a technology seeps into your organization before you've decided what to do with it.

What happened to the news when it went 24 hours? It stopped being news and became entertainment — because you can't fill that much airtime with signal. Process Debt is about what happened when businesses did the same thing to their data.

You bought the software. You built the dashboards. You connected the integrations. And now you have more information than ever — and somehow fewer clear answers.

Hosts Chris Terrell and Toby Lucich of Magic Button Labs have a name for the compounding cost of that gap: process debt. It's what builds up when you skip the workflow design, rush the rollout, or build reporting that serves management politics instead of the people actually doing the work. It's why your CRM has five pipeline stages nobody uses. It's why the monday.com status column is always blank. It's why the dashboard refreshes every 15 minutes and nobody looks at it.

Each week, Chris and Toby dig into a different flavor of process debt — from SaaS implementation failures and over-engineered reporting culture to the organizational habits that make good tools go bad. The conversations are plain-English, occasionally irreverent, and stubbornly focused on what actually changes outcomes versus what just looks busy.

What you won't find here: breathless coverage of the next productivity tool, Six Sigma theory disconnected from real software, or the kind of vendor content that can't admit the tool isn't the problem.

What you will find: honest takes for the operations manager, COO, RevOps lead, or "glue person" at a 50–500 person company who's serious about making their systems actually work inside monday.com, HubSpot, Asana, Salesforce, ClickUp, Notion, and beyond.

Because more data isn't the same as better information. And better is always better.

New episodes every week.

James Patterson has written 285 books. He's 79 years old, lived through every major writing technology shift of the last half-century, and still drafts every novel with a pen and a yellow legal pad. In this episode, Chris and Toby dig into what Patterson's stubbornly old-school process reveals about the rest of us the ones constantly chasing the next AI tool, the shinier PowerPoint template, the newer productivity hack.

They get into the difference between activity and outcome, why productivity has tripled since the seventies while wages have barely moved, and how the "let's change it" impulse quietly runs most organizations into the ground. Along the way: the ego trap of handing your work over to AI, why accounting is the only function that doesn't reinvent itself every quarter, and the thought experiment that could cut your process debt in half — only implement changes you're willing to stick with for a full year.

It's a conversation about craft, consistency, and the unsexy truth that the things that actually work tend to be the things we've been doing all along.

Jon Yablonski — creator of Laws of UX and veteran designer across automotive, aerospace, and SaaS joins us to talk about what good design and good process have in common. We get into why pretty things fool us, why nobody reads the manual, the myth of the ideal user, and why working inside constraints might be the most underrated skill in any discipline.

Plus: what Slack's onboarding, a Cadillac knob, and a chess lesson all have to teach us about how humans actually learn.

Dr. Adam Link, computer scientist turned CFP joins Chris and Toby to unpack why bad assumptions don't just lead to bad outcomes, they compound them. From 401k matching to tech debt, Monte Carlo simulations to the emotional trap of selling a business you built from scratch, this one connects the dots between financial literacy, process thinking, and the psychology of why we make the choices we do. Equal parts practical and thought-provoking.