Organization creation: Data, permissions, and operations
Defines entities, ownership, authorization, APIs, events, retention, and support handling for organization creation. This reference fixes the adoption boundary, failure behavior, and observable evidence while leaving environment-specific limits configurable.
Package status: reference context ready for human review. The contract and test scenarios are complete, but no claim is made that an adopting implementation has passed them.
Decision
For Organization creation, adopt a durable account, organization, membership, and ownership state model. Implement the behavior through one authoritative write path, typed interfaces, explicit state, and idempotent side-effect handling. This package is a reference contract: the adopting team must choose numeric limits, providers, jurisdictions, and operational owners from evidence in its own environment.
Scope
- The Organization creation actors, inputs, outputs, states, policy or schema versions, and externally visible outcomes described by this implementation block.
- Primary and alternate interfaces, background work, caches, integrations, support paths, and evidence that can exercise the same boundary.
- Adoption-specific configuration, rollout, recovery, and verification responsibilities needed to apply the reference safely.
Outside this block
- Choosing a universal vendor, framework, jurisdiction, numeric threshold, retention period, or service-level objective for every adopter.
- Claiming that packaged scenarios have run against a downstream implementation or that this reference grants legal, security, or accessibility certification.
Contract
- Resolve the active organization from authenticated membership and re-authorize every scoped resource operation on the server.
- Represent invited, active, suspended, removed, transferred, merged, and deletion-pending states explicitly where applicable.
- Make ownership and membership changes idempotent, require recent assurance for high-impact actions, and record actor plus reason.
- Propagate lifecycle changes to sessions, API credentials, jobs, exports, indexes, billing links, and integrations without relying on cache expiry alone.
- Validate inputs once at the boundary and preserve the normalized representation used by downstream logic.
- Persist the business transition before or atomically with an outbox record; consumers deduplicate by durable operation identity.
- Create organization identity, canonical name or slug, initial owner membership, default policy, billing state, and audit event as one idempotent bootstrap workflow.
- Validate namespace and invitation rules server-side, prevent orphaned or duplicate organizations after partial failure, and separate public discovery from identifier uniqueness.
Implementation guidance
- Ship additive storage and interface changes first, backfill observably, then retire old paths after compatibility evidence.
- Model Organization creation inputs, outputs, actors, states, invariants, side effects, and evidence before selecting framework or vendor details.
- Store the applicable Organization creation contract or policy version with material state so migrations, replay, and support decisions remain attributable.
- Introduce the path behind controlled rollout, compare expected and observed outcomes, and keep a tested recovery route until adoption evidence is complete.
Failure handling and safeguards
- Conflicting ownership or membership evidence blocks the mutation and routes it to a recoverable, audited support path.
- Invalid or contradictory Organization creation state is rejected or quarantined; the implementation never guesses a value that broadens authority or duplicates an effect.
- Retries are bounded and use durable identity; after exhaustion, work reaches an inspectable terminal state with an accountable owner.
Verification and operations
- Inject dependency failure before and after persistence and prove that retry converges on one externally visible outcome.
- Monitor Organization creation success, denial, validation failure, dependency failure, retry exhaustion, and recovery by contract version without sensitive payload dimensions.
- Re-run paired positive and negative fixtures after policy, schema, dependency, migration, or boundary changes and preserve the resulting evidence.
Adoption assumptions
- Names and values in the example are a concrete fixture, not universal defaults; adopters replace them through documented evidence and ownership.
- The adopting system can provide authenticated identity, durable operation or record versions, bounded telemetry, and a controlled path for change.
The executable-looking examples in this package are fixtures and acceptance contracts. Run the collection validator to check structure and metadata, then translate and execute the scenarios in the target repository before recording implementation evidence.