Emil Eifrem uses a simplified bank-account-opening agent to explain the costs of manually connecting every agent to enterprise data. Repeated discovery, duplicated records, changing schemas and isolated learning make that approach difficult to maintain.
Emil Eifrem proposes three shared components: a business-facing ontology, a technical ontology describing data sources and a mapping between them, plus execution traces showing what worked. The example connects identity-verification intent with appropriate data services and uses outcomes to inform later choices.
Emil Eifrem argues that this shared semantic layer can centralize governance, reduce repeated wiring and support learning across agents. The talk presents a blueprint and reported enterprise experience, not a controlled demonstration that every organization will obtain those benefits.
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