Running AI Pilots That Survive Production
Most AI pilots die between demo and production. A short discipline — qualify, shadow, check the data, build small — gets them through.
Truth, transparency, and hard work. You own everything. Three commitments, in writing.
Where AI is worth the effort — and where it isn’t. We tell you both, in writing, before you spend more.
Assistants, automations, and internal tools that hold up in production.
Warehouses, pipelines, and models — the part everyone skips. We don’t.
Monitoring, tuning, and support after launch. No handoff to strangers.
Most AI pilots die between demo and production. A short discipline — qualify, shadow, check the data, build small — gets them through.
Before wiring a model to your data, check whether a dashboard number traces to its row. Five data gaps that stall every AI project.
An honest map: drafting, triage, and retrieval shine; final judgment calls and thin data don't. How we score eleven candidates down to two.
A paragraph is plenty. If it’s not a job for AI, we’ll tell you that too — and point you the right way.
No spam. Unsubscribe anytime.