Enterprise Ontology Explorer
The practical decision graph that lets agents reason from objective to KPI, mission, decision, policy, event, entity, evidence, action, outcome, agent, and learning. This is not only a data-object ontology.
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.
Decision ontology contract
Objective -> KPI -> Mission -> Process -> Decision -> Policy -> Event -> Entity -> Evidence -> Action -> Outcome -> Agent -> Learning.
P2P duplicate example
Invoice received maps to payment-hold decision, duplicate policy, invoice/PO/GR evidence, action boundary, cash protected, and learning pattern.
Governance objects
Policies, controls, approval authority, materiality thresholds, risk ratings, delegation authority, compliance requirements, agent permissions.
Minimum viable start
Start with one bounded decision slice, not a full enterprise ontology program.