Does our AI understand how our business works?

• Which domain goes firstWhere the pain is versus where the data is ready

• Extend BI semantic models or start an ontologyReuse what exists versus model the business properly
• Document retrieval or structured knowledgeSpeed versus precision

• Central or domain-owned definitionsConsistency versus ownership close to the work

• How far to model, and who may traverse whatEnough structure to reason with versus modelling the whole enterprise

• Every agent team re-inventing what a customer is

• Retrieval over documents as the entire strategy

• Context with no owner and no versioning

• Each new agent adding its own partial semantic configuration

The starting level. Nothing precedes it.

• Semantic models sit on a central data platform.AI-Ready Data Estate at Establishing

• Shared definitions need owned data products underneath.AI-Ready Data Estate at Scaling
• Definitions need a forum that can sign them off.Governance & Trust at Establishing

• An enterprise ontology is kept alive by the domains that own it.Organization, Skills & Operating Model at Scaling

Only the next level in this pillar.

Only the next level in this pillar.

• Agents act correctly only on shared business definitions.AI in the Process at Scaling

• Agent-first processes are what an enterprise ontology makes possible.AI in the Process at Compounding