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Infographic

AI Production Readiness: 12 Things to Verify Before You Ship

Mission Control doesn't launch on vibes. Every station reports one word - GO, HOLD, or NO-GO - and if even one station can't say GO, the launch doesn't happen. Most AI teams ship without ever running that poll.

The tooling has caught up fast: 90% of developers now use AI daily, up 14 points in a year. The discipline underneath hasn't caught up at the same rate - DORA's own finding is that AI amplifies whatever rigor you already had, and whatever gaps you didn't fix first.

Can you name the worst thing a tool can do unsupervised? Can you replay an answer from three months ago? Is your P95 latency budget a number with an alarm, or an aspiration nobody's tested? Twelve questions like these separate a system that's demoed well from one that's ready to carry real traffic.

None of the twelve checks live with a vendor or a policy document. A version-controlled eval set, a named on-call owner, a rollback tested in the last 30 days - these are engineering artifacts, and they're the ones that hold when something breaks at 2am.

The infographic walks all twelve, station by station - data & retrieval, evaluation, guardrails & governance, serving & observability, cost & capacity, and ownership & rollback - each with the evidence that earns a GO.

AI Production Readiness: 12 Things to Verify Before You Ship
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