Insights
Insights for CTOs shipping AI
First-hand answers to the questions CTOs actually ask — readiness and ROI, getting pilots to production, and choosing AI without lock-in. Every piece ends where the work starts: a free Opportunity Scan.
Pillars
AI readiness: how to find where AI will actually pay off (and where it won't)
A practical guide for CTOs on spotting the AI use cases that create real ROI — how to assess readiness, score opportunities, and avoid the projects that stall.
Read → PillarFrom prototype to production: how to ship AI that actually works
Why AI demos stall before production — and the practical path for CTOs to ship a reliable, measured AI use case in weeks, not months.
Read →Guides
What is an AI readiness assessment (and what should it include)?
What a real AI readiness assessment covers, what you should walk away with, what it should cost — and the red flags that signal a weak one.
Read → Shipping AI to productionWhy do AI pilots never make it to production?
Most AI pilots stall before production. Here are the real reasons — scope creep, no evaluation, demo-grade engineering — and how to avoid the AI graveyard.
Read → Shipping AI to productionWhat is an AI pilot sprint, and how long should it take?
What an AI pilot sprint includes, how it differs from a proof-of-concept, how long it should take, and what you should have at the end.
Read → Vendor-neutral AI & evaluationHow to evaluate an AI consultancy: 10 questions to ask
The 10 questions that separate a real AI partner from a hype-merchant — on shipping, vendor-neutrality, ROI, security, and proof — and the red flags to watch for.
Read →Stop planning. Start shipping.
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