A practical guide to moving enterprise AI from stalled pilots to production — governance, sequencing, and the patterns that actually ship.
Roughly 95% of enterprise AI pilots never reach production. Not because the models are weak — because deployment is hard, governance is an afterthought, and "pilot" becomes a place projects go to quietly die. This playbook is for the executive or program owner who has run the demos and now has to deliver outcomes. It walks through choosing the right first workflows (high-volume, well-bounded, measurable — not the flashiest), the governance scaffolding to put up before you scale rather than after, how to sequence from a single proven workflow to a portfolio, and how to measure ROI in terms the CFO accepts. It is workflow-first and vendor-neutral: the goal is durable capability, not a logo on a slide. You will also get the honest version of the failure modes — the pilot that never had a production owner, the agent with no eval harness, the "AI strategy" that was really twelve disconnected experiments — and how to avoid each one.
Every one of these is free and email-gated, same as this one.
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