Decision Memory
Explains what the platform learns from decisions without forcing a heavy database reconstruction on first paint.
Latest Runtime Capability Update
This page is evaluated against the current runtime baseline: governed chat, WIIF assistant portability, Token Economy controls, fail-closed policy enforcement, deterministic replay, signed evidence, runtime adoption audit, skill learning promotion, autonomy demotion enforcement, case-state propagation, and observability readiness.
What is learned
Operational patterns that reduce future exceptions.
What is not autonomous
Learning does not silently change production policy; promotion requires ownership and approval.
How it is proven
Learning items are backed by decision records, evidence packs, and replay traces.
Where to inspect detail
Use the full memory renderer only when drilling into a specific decision or incident.