What should be included in an AI incident response runbook?
Aria Voss
Security leaders
I am trying to get a realistic read on what should be included in an AI incident response runbook.
Cover detection, rollback, customer notification, evidence, and vendor escalation.
What has actually worked (or failed) for your team? Specific examples, pricing traps, or vendor claims that did not hold up are especially useful.
Luna Berg
RevOps practitioner
Document what 'done' means for the workflow. We shipped an agent that 'worked' but still required a human to close the loop every time — zero net time saved.
Dev Patel
Operations lead
If you are non-technical, demand a sandbox with sample data and a 30-minute setup path. Anything that needs a solutions engineer for the first win will stall on a small team.
Zoe Navarro
Senior engineer
Source quality beat model size for us. Clean knowledge + tool scopes fixed more hallucinations than switching models.
Amir Soltani
Research analyst
Start with one bounded workflow that has a clear success metric. We tried to automate three use cases at once and none of them got good enough to ship.
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