AIL - Adaptive Insight Loop
The Adaptive Insight Loop turns enforcement outcomes into learning. It captures remediation results, analyzes recurring failures, and feeds updates back into governance.
Treatise date: August 13, 2025.
Closing the loop
AIL is where AMME becomes adaptive without losing accountability. It records outcomes of enforcement actions and converts them into structured updates for LEI and DPV. The treatise treats this loop as essential for preventing governance drift.
Learning inputs
- Remediation completion proofs
- Post incident narratives and root cause analysis
- Longitudinal metrics from PSE drift monitoring
- Stakeholder feedback and dissent logs
Learning outputs
- Policy update proposals and rationale bundles
- Remedy playbook refinements
- New risk scenarios for simulations
- Evidence requirements for future audits
Insight workflow
Collect
Aggregate outcomes and remediation evidence.
Analyze
Identify systemic failure modes and policy gaps.
Recommend
Draft amendments for LEI deliberation.
Simulate
Test updates under adversarial scenarios.
Publish
Record learning artifacts in DPV.
Monitor
Track post update effectiveness.
Counterfactual learning lanes
Parallel learning without destabilizing enforcement.
AMME Extensions introduce counterfactual lanes where AIL can test alternative remedies and legitimacy weights without changing live enforcement. These lanes generate evidence on potential updates while preserving audit continuity for active policy packs.