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

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.