Positioning
Beyond classic MDM
EntiHub is the governed knowledge layer between people, AI agents, and enterprise data — in your warehouse. Classic customer/product masters still work. The bigger category is rules, decisions, and AI-safe definitions.
The pattern
Every strong use case repeats the same loop: Entity → Rules → Owner → Approval → Evidence → History → AI access. That is larger than golden-record MDM — and it maps directly onto EntiHub’s YAML models, approvals, audit, anomalies, API, and CLI.
What teams put here
- Corporate vocabulary — approved terms, synonyms, exclusions for AI and reporting.
- AI agent registry — ownership, data access, risk, re-certification.
- Business rules & decision rights — limits, approvers, effective dates as API-backed entities.
- KPI & critical data definitions — one official meaning of revenue, IBAN, VAT.
- Exceptions & evidence — legitimate bypasses vs anomalies; why a decision was made.
- Department registries — controlling (cost centers, FX), HR (roles, positions), procurement risk changes.
- Classic master data — customers, suppliers, products, reference data when you need them.
Why not “another MDM”?
- The MDM market for customers/products is crowded and consultant-heavy.
- AI governance and decision governance are under-served — and buyable with the same engine.
- Warehouse-first + Marketplace install stays the technical advantage; the story shifts to knowledge and decisions.
Related: Decision Memory · CLI & AI · When NOT to use EntiHub