Tool Traps

Are you building a smarter workflow, or just generating AI-assisted process debt? In Episode 98, HubSpot expert Chris Carolan reveals how to abandon rigid industrial-age models and build AI-native systems that prioritize human connection and eliminate waste in knowledge work.

The individuals closest to the technology are moving into increasingly speculative territory. What we have right now is a lot of individuals running faster — but not necessarily in the same direction, on the same track. AI is making individuals dramatically more productive. The question nobody has answered yet is: so what?

The best AI integrations do one small thing reliably and get out of your way. The worst find twelve new ways to interrupt you before you've had your morning coffee. But there's a third category worth paying attention to: AI that lets a well-meaning person — a team lead, a business analyst, even a CEO — execute plain-English commands directly against your live production data. No developer. No IT ticket. No sandbox. That's process debt in a new form. And it moves faster than t

There's a difference between a rollout and a seep. A rollout has a project plan, a go-live date, and a post-mortem where everyone agrees it went better than expected while privately knowing it didn't. AI didn't do any of that. It just showed up — in your search engine, in your SaaS platforms, in your teammates' emails — while you were handling something else. That's what makes this adoption moment genuinely strange. And why the usual change management playbook doesn't quite

Most SaaS tools present as the easiest solution to all your problems. For a single user, that might even be true. But get a team involved — without a clear process and the right people at the table — and you've just handed everyone a bucket of 300,000 Legos and walked away. In this episode, Toby and Chris break down the requirements trap, the hidden cost of anchoring to your old system, and why pushing people into the tool before defining the process is sometimes exactly the

Most clients walk into a consulting engagement expecting magic. What they get instead is a mirror. In this episode, Toby and Chris unpack why technology implementations so often disappoint not because the software is wrong, but because the process underneath it was never examined. From the "kitchen analogy" to the AI cuteness trap, they lay out what process debt actually costs and what to do before you ever call in outside help.

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.

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.

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

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.

AI can scaffold apps in minutes, but without software-style guardrails (branches, small commits, unit tests), “vibe coding” turns into vibe chaos. Steal developers’ rigor for business change: pilot locally, commit small, add checks, then merge. Small commits beat big vibes every time.

Buying is easy to present; trying is how you ship real outcomes. This piece breaks down “try vs. buy,” how to spot and grow triers, why tiny experiments beat shiny decks, and the simple fixes (think box-fan energy) that slash process debt and compound results—especially when 2% of your org works on the business, not just in it.

A sore knee sent us spiraling into worst-case thinking—then a PT said, “You’re just tight.” Sound familiar at work? When handoffs creak or reports slip, we rush to replace systems instead of rehabbing the flow. In this episode we unpack the culture of buy vs. try: why shiny tools get credit, how soft-tissue fixes (handoffs, cycle time, rework) deliver real speed, and a five-step play to run “try” like a product launch. Stretch the work before you swap the joint.

SaaS-fished is what happens when glossy demos and executive FOMO lure teams into buying tools that can’t fix broken workflows. Skip the slideshow, get a sandbox, run a paid short trial, and design the process first—then pick the software that actually fits.

When a community bank replaces people with phone trees and chatbots, it doesn’t just save money—it breaks trust. Somewhere, a spreadsheet looks great while a 30-year member gives up on trying to talk to a human. This is what happens when technology is installed without purpose: efficiency replaces empathy, and relationships become metrics.

RACI fails when truth lives in email. Make a single system of record per domain, separate reports from one-off analysis, and wire RACI to the tool that actually changes state, not the meeting.

Generative AI is fluent and fast, but if we over-delegate our thinking, we’ll ship more and understand less. This piece shows how to keep humans “generative” by staying close to customers, designing rituals with embedded proof, and using AI between us and our repositories, not between us and our relationships. Accelerate good process, not polished waste.