What we're thinking about
Practical writing on AI implementation, automation, and strategy — from the team that runs these projects. No thought leadership. No hype. Things we've seen in client work that are worth writing down.
Most AI projects don't fail because of the technology. They fail because of what happens in the three months before any code is written.
A practical framework for quantifying the value of automating a business process — without relying on vendor benchmarks or generic estimates.
The regulation is real, the timeline is moving. Here's what a 50-person company actually needs to do — and what it can safely ignore for now.
The term "AI agent" covers a wide range of capabilities. Here's a grounded look at what's deployable today and what still requires caution.
Most AI roadmaps look good in a presentation and break down in month three. These are the structural reasons why, and how to avoid them.