Keeping a live AI system working
Launch is not the finish line. AI systems decay rather than crash, which is why standard monitoring never catches it. What breaks after go-live, and what operating one properly involves.
Everything we've written on this
Why AI systems break after launch — and what "operating" one means
AI systems don't crash. They decay — quietly, while every dashboard stays green. The five ways a live system degrades, why nobody notices for weeks, and what the job of operating one actually is.
ReadWhat an AI operations runbook actually contains
Seven entries, each answering a question someone will ask at an inconvenient hour. The document that turns "we have an AI system in production" into something a person can actually be on call for.
ReadHow to hand over an AI system — to a new vendor or in-house
The inventory to collect, the acceptance test that proves the handover worked, and the four things that always go missing. Do this properly once and you never repeat the vendor reset.
Read
Put a forward-deployed team on it.
If this is the kind of work you're trying to get into production, a 30-minute discovery call is the fastest path to a scoped plan.