We've all been there. You celebrate the go-live, pat the team on the back, and move on. But who's watching this thing six months later?

Sure, the system keeps running. Even when customer behavior shifts, catalogs change, and patterns evolve. Performance drifts so slowly that nobody notices until a business metric moves weeks later.

A Harvard/MIT study found 91% of ML models degrade over time. That number didn't surprise me. What surprised me is how rarely organizations even assign someone to look. Platform teams watch uptime. Data scientists ensure smooth deployment. Business tracks outcomes. None of them own the question that actually matters: is this still accurate?

The author digs into this and calls it the "accountability gap." Worth the read, then worth asking: is anyone owning that agent you deployed last month?: https://contextandchaos.substack.com/p/production-ai-and-the-false-finish

Nobody owns the Hard Half. Technical context had a stage. Organizational context didn't have a booth.

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