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Benefits of Writing AI Incident Runbooks in Advance

WittyTech··2 min read
#runbooks#incidents#on-call

Most on-call engineers know what to do when a database goes down. Fewer know what to do when an assistant starts giving customers wrong refund amounts at 2am, with no errors anywhere. AI incidents look different from ordinary outages, which is exactly why a runbook written in advance helps.

What the runbook should cover

For each AI feature, one page with:

  • Symptoms: error spikes, slow responses, provider outages, quality complaints, cost spikes and unsafe outputs.
  • Where to look: dashboards, traces, the provider's status page and recent prompt or model changes.
  • Actions: switch off a feature flag, roll back the prompt version, fail over to another region or reduce traffic.
  • Who decides: who may turn the feature off, and who talks to affected customers.

Benefit 1: Faster decisions

The hardest call in an AI incident is often whether to turn the feature off. When the runbook already says "switch off after five confirmed wrong pricing answers in an hour", nobody waits for a meeting.

Benefit 2: Anyone on call can act

AI features are often built by a few specialists. A runbook lets an engineer from another team handle the first thirty minutes safely, without paging the one person who wrote the prompt.

Benefit 3: Less guesswork about causes

A checklist of usual suspects, such as a recent prompt release, a provider incident, a rebuilt retrieval index or a spike in unusual inputs, shortens the investigation.

Benefit 4: Better customer communication

Prepared message templates for "feature temporarily unavailable" and "we're investigating incorrect responses" help support teams respond quickly and consistently.

Benefit 5: Gaps show up early

Writing the runbook often reveals missing controls. If the action says "turn off the feature" and there's no flag to do it, you've found work to do before the incident instead of during it.

Keeping runbooks useful

  • Store them next to the code and link them from the alerts.
  • Test them in a game day by simulating a provider outage or a bad prompt release in staging.
  • Update them after every incident with what actually helped.

When it's not worth it

Internal experiments with a handful of users don't need formal runbooks. Once customers depend on a feature, or it can say something with legal or financial consequences, write one.

Start with your most important AI feature and a one-page runbook, then walk through it with the on-call team in a short meeting.

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