if you're new
Why 95% of AI pilots fail — and what the 5% have in common.
Six failure modes we've seen in the last eighteen months, and a working definition of "production-grade" that most consultancies refuse to commit to.
We're the AI build team for enterprises that need the model to still be working eighteen months after the demo. Scope, build, operate — one team, no handoffs.
Two-week sprint to pressure-test the thesis, the data, and the appetite. We turn down work we can't ship. The Scope memo is a deliverable in itself — yours to keep, even if we don't proceed.
Production-grade engineering. The same team that scoped it ships it. Evals, observability, governance and a cost envelope baked in from day one — not bolted on at the end.
We stay. Drift, retraining, cost, latency, evals — the part that decides whether AI works a year from now, not just at the demo. Hand back to your team when they're ready, not when our retainer ends.
Six failure modes we've seen in the last eighteen months, and a working definition of "production-grade" that most consultancies refuse to commit to.
Our actual scoping checklist, the projects we say no to, and why we publish our day rates instead of hiding them behind "let's talk."
The transition that breaks most AI engagements — and the operating model we use to make it actually happen, not just appear on the closing slide.