Automated remediation is not new. Restarting a failed process or replacing an unhealthy instance has been standard practice for years. What has changed is scope. Tooling increasingly proposes, and sometimes applies, fixes that used to need a person: rolling back a release, scaling a dependency, rewriting a configuration value.
The question is no longer whether, but where
That shift matters for reliability. The more a system does on its own, the less often people practise doing it themselves, and the more important it becomes that someone has decided, in advance and in writing, what the system may touch.
Our DevOps & Reliability employer panel did not argue about whether automation belongs in incident response. It plainly does. What separated strong practitioners was that they had drawn a clear boundary and could explain it.
- Reversible, well-understood actions with a known blast radius are good candidates for automation.
- Actions that change data, cost or security posture usually need a person in the loop.
- Anything the system has not seen before should page someone rather than guess.
- Every automated action should leave a record a person can read during the incident review.
The failure we worry about is not the automation that does nothing. It is the one that confidently fixes the wrong thing, at scale, at 3am.
How it appears in assessment
Automated remediation touches several of the six capability areas. Automation asks whether your pipelines are trusted by the people who depend on them. Observability asks whether you can tell what the automation did and why. On-call practice asks whether alerting still respects people when a machine handles the first response. Incident review asks what you changed after automation made a situation worse.
At BIPS Professional, where you own the reliability of a production service, we look for evidence that you set the limits of automated action for that service and revisited them after real incidents. At BIPS Specialist and BIPS Expert we expect to see a policy others work within: what the platform is permitted to fix, who approves new automated actions, and how those actions are audited.
Accountability does not transfer
The principle is the same one that runs through our Human-AI Collaboration standard: whoever owns the service owns the outcome. An automated fix is still your fix, and the post-incident review should treat it that way.
In the professional discussion, assessors will often ask about a time automation acted without you. What happened, how did you find out, and what did you decide about where it should stop? Candidates who have thought hard about that boundary rarely struggle with the question.