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We joke that “this meeting could’ve been an email,” but Charlie Munger would flip that logic on its head. In most organizations, the real failure mode isn’t too many meetings — it’s hiding work inside emails no one ever truly acknowledges. A good meeting, with a shared agenda and a visible workflow, creates something email never can: confirmation, context, and community. Reduce your emails by having better meetings. That’s how you start paying down process debt.

In the physical world, a carpenter who wastes 70% of his wood gets fired. In the digital world, we call that same waste "Process Debt" and ignore it. Digital scrap is invisible, it’s the "zombie" systems, muted channels, and skipped foundations that erode your team's sanity. The truth? You don’t lose to bad technology; you lose to skipping the boring foundations that make good technology usable.

The most expensive mistake you can make isn't buying the wrong software. It’s paying for a transformation while demanding a mirror. If you force a new system to mimic a 20-year-old legacy workflow, you haven't upgraded your business; you've just moved your Process Debt into a more expensive neighborhood. To find the ROI, you have to be willing to be a rookie again.

Middle managers are the 'glue people'—the vital translators between executive vision and frontline reality. As companies look to AI to trim the fat, are they accidentally cutting the air cover that keeps teams productive? We explore why the 'middle' is the primary target for automation and why history proves these roles are harder to delete than they look.

Is the person saving the day actually the one who started the fire? In this episode of the Process Debt podcast, we dive into the world of prediction markets and why most businesses fail to evaluate the quality of their decisions. From "corporate pyromaniacs" who thrive on chaos to the mastering statistical bias. Learn why psychological safety is the missing ingredient in risk management and how a simple calendar trick can reveal if you’re actually a good leader—or just lucky

“Hey, what’s up Toby? We made it another week.” And if your week included insane weather, unhinged headlines, and a football game that made you question your life choices… welcome to the club. But here’s the thing. When the news gets loud, it’s easy to get pulled into the politics of it all. This week, I want to do something different. I want to look underneath the argument and ask the question we ask on this podcast every week: What process produced the outcome we’re starin

If your work constantly feels urgent, reactive, and exhausting, the problem probably isn’t effort, it’s process debt. This episode digs into why solving for stress is easy, solving for service is hard, and how small shifts can radically reduce long-term friction.

Most automation doesn’t fail because the tools are bad. It fails because companies automate before they understand the business objective—and before they do the boring, foundational work that makes automation possible. The fastest wins aren’t usually robots. They’re often the obvious fixes the frontline has been asking for all along.

We tend to judge ourselves by our intentions and everyone else by their actions. It’s a subtle bias that feels harmless, but it quietly creates process debt everywhere from missed emails to failed system implementations. It it time to unpack why intentions feel productive, why actions are uncomfortable, and how time, habits, and learning curves expose the gap between the two. Turns out, most treadmills don’t fail we just never turn them on.

Distraction is the most convincing fake work in modern business. It feels urgent, but it’s usually just reaction disguised as productivity. In knowledge work, without clear constraints or clear strategy, we confuse motion with meaning. This episode explores how reaction, ambiguity, and shifting priorities create process debt—and why clarity is the only antidote to constant distraction.

Blame is the fastest reflex in business. A quick way to dodge discomfort without fixing anything. But real process health comes from slowing down, understanding the work, and building boring-but-powerful rituals that prevent chaos. When we value clarity over reaction, the fires stop before they start.

Lately, when people talk about AI, I think they believe they are buying Rosie. But we are not building Rosie. Not yet. And chasing Rosie too early is how you quietly pile up a whole new layer of process debt. AI is not doing your dishes In the real world, the direction of AI right now is information, not activity. It can summarize meetings, draft emails, write status updates, brainstorm project plans. It can churn through data at a scale that used to require an army of analys

Collaboration in the modern workplace frequently falters before actual work starts. This week’s Process Debt story highlights how a simple profile update request turned into a 20-minute ordeal of password resets and confusion. It demonstrates how invisible process friction can disrupt even the simplest tasks, not due to individual failure, but because our systems impose unnecessary obstacles.

AI can generate anything, but it can’t deliver the one thing computers depend on: predictable abstraction. Unlike ones and zeros, LLMs guess — which means humans still end up in the middle, fixing the gaps and cleaning up the process debt that follows.

The AI boom feels a lot like the telecom bubble of the early 2000s — a race to build infrastructure faster than anyone can figure out how to monetize it. Investors like Michael Burry and industry insiders aren’t betting against AI itself; they’re betting against the unsustainable hype cycle surrounding it. Just like fiber-optic cable once outpaced demand, today’s AI valuations are outpacing real business value. The tech is real, the promise is real, but the process behind it

We see it everywhere. In school, a simple assignment becomes an epic because the deadline is far away. On Saturdays, three chores take all day. Fifteen chores before lunch, though, and suddenly we are a machine. Inside teams it looks the same. Years ago, we built monthly sales reports with clunky tools. Data dumps to Excel, formulas that would make a grown analyst cry, screenshots pasted into PowerPoint. It was slow, manual, and fragile. But we had a clear ritual. Billing fin

Rituals aren't the issue. It's rituals without results that matter. In this episode, we redesign stand-up meetings and status updates to drive work forward. Rotating facilitation highlights gaps, and a simple checklist for Mondays, Wednesdays, and Fridays helps maintain standards while fostering innovation. We frame each meeting as a two-party agreement between management and creators, and discuss the importance of recognition.

Forget the meme that “this meeting could’ve been an email.” The real fix is an acknowledgement cycle: tiny Looms, one change at a time, a weekly “did you do the thing?” scoreboard, and pull-based habits over notification spam. Transport information and confirm that it has become a shared understanding.

When Six Sigma meets slide decks, the math stops working. Manufacturing aims for three defects per million; knowledge work hides a million invisible defects behind one perfect presentation. In this episode of Process Debt, Chris and Toby unpack why “good enough” varies by context, how to decide which processes need rigor, and how novelty and personality often disguise systemic inconsistency. Not every task needs five sigma, but every team needs to know where precision actuall

One year of weekly episodes taught us a simple law: process must be easy to find and easy to hand off. Most teams don’t drown in bad tools; they drown in invisible, un-transferable processes wrapped around good tools. Start with discoverable docs, involve operators early (try before you buy), and aim for sharp-shovel progress over perfect-axe fantasies. The absolute scale comes from people who turn ideas into repeatable practices others can use without you in the room.