Remediation Loop
What happens after a failure is seen: trace to eval to policy to fix to proof. Closing the loop is what turns monitoring into assurance.
A remediation loop is the path from a detected failure to a durable fix: see it, trace it, turn it into an eval, change the policy, apply the fix, and produce proof it will not recur silently.
Why it matters
Most teams stop at detection. They get an alert, eyeball it, restart something, move on. The same failure comes back next week wearing a different hat. A closed loop guarantees that each failure makes the system permanently better instead of just briefly quieter.
In practice
Failure becomes a trace. The trace becomes an eval case. The eval exposes the missing boundary. The boundary becomes a policy. The policy is enforced and the whole thing leaves a receipt. Next time, it fails closed or does not fail at all.
Where it shows up in my work
This is the exact loop I map for agent-monitoring teams: where agent monitoring becomes agent assurance. governable-ai.com lives at the proof end of it.