EP-076Learning EngineVerified outcomes · organizational isolation · human oversight
Learning Engine™
AIR AI continuously improves from verified outcomes — not assumptions. Learning is scoped to a single organization or to isolated public knowledge; private data never crosses organizational boundaries; every ingest, verification, proposal, application, hold, and rollback is auditable; and every high-impact model change is held for human review.
Events ingested
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Events verified
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Lessons applied
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Held for review
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Forecast Δ
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Scope
Organization or public knowledge
Sources
10 of 10 enabled
Learning types
6 of 6 enabled
Cycle notes
What happened in this window
Learning cycle
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The Learning Engine ingests verified outcomes across the sources you enable, proposes lessons, then quantifies model updates. Nothing high-impact ships without human review, and nothing crosses organizational boundaries.