Autonomous Improvement Loop

The Autonomous Improvement Loop is not unsupervised drift. The agent does not modify its own policies in production without review. Co-Pilot, the analytic engine on the InteractiveAI Platform, reads production traces, surfaces patterns, and drafts proposed refinements to the policy library. The domain expert is the protagonist: the human inspects the proposal, edits it, accepts or rejects it. Every refinement passes a Human Governance Gate before merging into the live policy library. The loop has four stages: pattern detection from traces, refinement drafting by Co-Pilot, human review at the governance gate, and deployment through the standard build-connect-deploy-govern-improve lifecycle. The loop is what makes the policy library a compounding asset.