How should AI assist during incidents without taking control?

We’re building UniDeploy to assist DevOps teams during production incidents using AI, but we’re intentionally avoiding fully autonomous actions.

For those managing production systems:

- Where does AI help the most during an incident?

- What actions should always require human approval?

- What signals (metrics, changes, logs) matter most when deciding a fix?

We’re especially interested in experiences where automation helped — or made things worse — during high-pressure incidents.