Operational Recovery Loop for AI Agents

Build an operational recovery loop that turns incidents into measurable outcomes with low-friction execution paths.

What matters in practice

• A recovery loop is complete only when outcome evidence is logged.
• Keep one continuity contract for all runtimes and teams.
• Track outcomes, not just incidents, to prove operational value.

Implementation checklist

1. Define stable session and handoff rules.
2. Instrument score, risk, and closure-rate signals.
3. Review results weekly and remove low-value loops.

Related

• MCP vs A2A
• What is A2A?
• What is MCP?