Insight
What scaling teams get wrong about automation
How we skip the year of meetings and get you a result you can show the board.
Most AI efforts die in the same spot: a year of meetings, a pilot that never escapes the lab, and nothing anyone can actually point to. We built our whole approach to dodge that. One real, measurable win. Roughly ninety days. Something you can put in front of your board without flinching.
Why so many projects stall
They start too big. A grand 'AI transformation,' a steering committee, a roadmap with no finish line. Eighteen months later there's a mountain of slideware and not much that's changed for the people actually doing the work.
Small and finished beats big and theoretical. Every time.
What the first 90 days look like
Weeks 1–2. We dig into your real workflows and pick one problem worth solving, with a number attached to it.
Weeks 3–8. We build it right next to the people who'll use it, adjusting as we learn what actually helps.
Weeks 9–12. Rollout, training, and measuring what changed, against that number we set on day one.
What you'll have at the end
Not a promise. Proof. Hours saved, a decision that's twice as fast, a bottleneck that's gone. Plus a team that can keep it running long after we've left. Start the clock.
Eric Lee
