The same five runbook patterns account for 60-80% of pages, and a human runs them by hand every time.
Routine remediation is the textbook case for automation: the same runbook pattern, run dozens of times per month, by a human at variable hours. The cost is two-fold. First, the cumulative human-time spent on toil. Second, the opportunity cost: every minute on a routine fix is a minute not spent on the work that compounds (postmortem fixes, capacity planning, automation of the next pattern). Toil compounds; reliability investment compounds in the other direction.
Nova's agent fleet runs runbooks in your environment with a trust score, a policy envelope, and a reversible audit trail. You decide what's autonomous and what's gated.
Translate the existing runbook into Nova's machine-readable format, preconditions, actions, postconditions, rollback. The agent now has the recipe.
Nova proposes the action without executing it. You compare its choice to what the on-call would have done, build trust, then promote to autonomous.
The agent earns more autonomy as it proves out, hundreds of successful runs without rollback push the trust score up; a single rollback drops it. You set the threshold for autonomous vs human-gated.
Every action is logged with the agent, the policy that allowed it, the inputs, and the outcome. Reversible by a single command if anything looks wrong in review.
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