Draft v1
Customer context draft
Domain owners define useful identifiers, relationship state, and provenance independently from one source schema.
Platform capability
Canonical Models
Define stable business entities and operations independently from any one source schema, with explicit ownership, versions, mappings, and provenance.
Contract Modeler
Resolve business meaning before publishing a version
Compare a field decision and see how the governed contract protects consumers as definitions evolve.
Select a contract version to inspect its fields and change boundary.
Request and constraints
- Candidate field
- lifecycle_stage
- Review
Result and contract
- Contract field
- relationshipStatus
- Draft
Guided explanation
The customer problem
The customer problem
The same customer, product, vendor, order, or location carries different names, shapes, and semantics across teams and systems.
The better operating model
The better operating model
Apyrn supports governed canonical contracts that express the fields, identifiers, provenance, and operations consumers need at the business layer.
Conceptual architecture
- 01
Domain owners define the contract and semantic rules.
- 02
Source mappings translate system-specific fields into that contract.
- 03
Versioning protects consumers as definitions and sources evolve.
Enterprise examples
Standardize product identifiers and availability terms across commerce and ERP systems.
Define a reusable customer context contract for service, sales, and digital channels.
What this enables
Give teams consistent business meaning.
Make schema changes explicit and reviewable.
Support multiple API products from shared domain definitions.
Scope and qualification
Canonical models require domain ownership and should be scoped to useful business contracts rather than universal enterprise models.
Consumers
Enterprise applicationsAnalyticsAI agents and copilotsIntegration teams
Business API accelerators
Related use cases
Model the contract consumers share, not the entire enterprise at once.
Scoped canonical models create useful common meaning without forcing one universal schema across every domain and workload.