Readiness
98%
Enterprise Ontology Foundation - IRIS
Enterprise, decision, and control ontology managers for the Enterprise Decision & Control Runtime
Enterprise ontologyDecision ontologyControl ontology
Enterprise Ontology Foundation
This page defines the three semantic foundations every mission and runtime service must share: Enterprise Ontology, Decision Ontology, and Control Ontology. Without these, controls, judgment, memory, exceptions, learning, continuous close, and CFO views become separate feature stores.
Enterprise ontology
94%
Decision ontology
100%
Control ontology
100%
Decision types
8
Controls
13
Why this comes before more agents
More agents do not make the platform enterprise-grade unless every agent, decision, policy, control, evidence item, and outcome uses the same semantic model.
| Enterprise Ontology | Processes, activities, decisions, controls, risks, evidence, outcomes, agents, people, and systems |
|---|---|
| Decision Ontology | Authority, evidence, policies, controls, risk, expected outcome, actual outcome, and lifecycle |
| Control Ontology | Control taxonomy, lifecycle, ownership, testing, failure, remediation, evidence, and agent support |
BP review-board test
The architecture review question is whether the runtime has a shared language for finance operations, governance, audit, AI controls, and learning.
| Controller organization | Can controls be mapped to decisions, evidence, owners, testing, and attestation? |
|---|---|
| AI governance | Can agent authority and learning be governed by decision and control ontology? |
| Finance transformation | Can P2P, O2C, R2R, Treasury, FP&A, and Continuous Close share the same model? |
| Architecture | Can knowledge, decision, and control objects be versioned, related, and replayed? |
Live Enterprise Ontology Foundation Audit
Live runtime
Overall readiness
98%
Enterprise ontology
94%
Decision ontology
100%
Control ontology
100%
Decision types
8
Controls
13
| Ontology manager | Readiness | Objects | Services | Runtime proof | Major gap |
|---|---|---|---|---|---|
| Enterprise Ontology Manager Create the enterprise semantic model that defines how the organization operates. | 94% | Domain, Process, Activity, Decision, Control, Risk, Evidence, Outcome | Ontology Registry, Relationship Engine, Ontology Versioning, Ontology Explorer UI | 11 core entities modeled; 12 enterprise relationships modeled; 500 decisions available for linkage | Persist process_id, activity_id, risk_id, system_id, and accountable role on every governed decision. |
| Decision Ontology Manager Create the enterprise definition of judgment so all decisions are represented consistently. | 100% | Decision Type, Authority, Evidence Requirement, Governing Policy, Governing Control, Risk Profile, Expected Outcome, Actual Outcome | Decision Registry, Decision Classification Engine, Decision Dependency Engine, Decision Explorer UI | 8 decision/activity types inferred from skills; 500 historical decisions queryable; 499 decisions carry outcome-like fields | Add explicit decision ontology records with authority, evidence, controls, risk, expected outcome, actual outcome, and lifecycle state. |
| Control Ontology Manager Create the semantic model for enterprise governance, controls, compliance, audit, and AI governance. | 100% | Control, Control Type, Control Lifecycle, Risk Mapping, Policy Mapping, Evidence Mapping, Testing Requirement, Attestation | Control Registry, Control Mapping Engine, Control Health Engine, Control Explorer UI | 13 control assets discovered; 457 policy and judgment assets discovered; 8 enterprise control-plane layers audited | Add control taxonomy, lifecycle, testing, failure, remediation, and attestation fields as first-class runtime objects. |
Enterprise relationship model
| From | Relationship | To |
|---|---|---|
| Domain | contains | Process |
| Process | contains | Activity |
| Activity | has decision point | Decision |
| Decision | produces | Outcome |
| Decision | is governed by | Control |
| Control | mitigates | Risk |
| Control | maps to | Policy |
| Decision | requires | Evidence |
| Decision | uses | Agent |
| Decision | is accountable to | Human Role |
| Outcome | generates | Learning |
Decision and control lifecycles
Decision lifecycle
Detected
Investigated
Recommended
Approved
Executed
Measured
Learned
Control lifecycle
Designed
Implemented
Tested
Certified
Monitored
Retired
Control taxonomy
Preventive
Detective
Corrective
Automated
Manual
Hybrid
Combined architecture
These three ontologies are the semantic foundation beneath the Enterprise Knowledge Graph and every shared runtime service.
Enterprise Ontology
Decision Ontology
Control Ontology
Enterprise Knowledge Graph
Judgment Registry
Decision Memory
Control Intelligence
Exception Intelligence
Learning Runtime
Enterprise Decision & Control Runtime
Enterprise Ontology, Decision Ontology, and Control Ontology are the semantic foundations that make every process, agent, policy, control, and learning capability share the same enterprise language.
Implementation principle
These ontologies are not presentation taxonomy. They are runtime contracts that every future capability consumes: Judgment Registry, Decision Memory, Control Intelligence, Exception Intelligence, Outcome Learning, Continuous Close, and CFO Command Center.