Authoritative ownership
Each important class of information has a defined system of record. Convenience copies have a reason and a rule for staying current.
The five functions describe what the business must be capable of doing. The six architecture layers describe how the operating system supports that work.
Each important class of information has a defined system of record. Convenience copies have a reason and a rule for staying current.
Capture information as close as practical to the event that creates it. Bad source data needs attention at the source.
Material judgment belongs to accountable humans unless a deliberately governed decision rule says otherwise.
A consequential workflow that can fail needs to expose that failure through an agreed queue or notification path.
Every important workflow has a named role or rule responsible for its outcome.
Define how the system knows the intended result occurred, including the evidence needed to verify it.
Keep capable domain software in its appropriate role. Add connections when the operating work needs them.
Documentation, credentials and ownership allow a responsible transition to another operator.
| Layer | Sensing | Signaling | Processing | Deciding | Regulating |
|---|---|---|---|---|---|
| Systems of record | Primary | Supporting | — | — | Evidence |
| Business memory | Supporting | Primary | Supporting | Context | Supporting |
| Integration | Event capture | Primary | Transform | Route | Status return |
| Processing | Classify | Enrich | Primary | Rules | Evaluate |
| Interface | Observe | Deliver | Explain | Human action | Confirm |
| Control | Monitor | Monitor | Monitor | Escalate | Primary |
Use Notion as business memory and interface where appropriate. Databases represent durable business entities or operating states. Relationships and rollups clarify that model. Views expose the next useful action for each role.
Templates encode real repetition. Archive rules preserve history while keeping inactive work out of current queues. Replication of authoritative information needs an explicit purpose.
Every production automation has a name, purpose, owner, trigger, downstream effects and failure path. Credentials use client-controlled accounts or documented service ownership wherever practical.
Retries are deliberate and bounded. Duplicate protection or idempotency is used where repeated triggers could create harmful duplicate actions. Source schema and field changes are treated as architecture changes when they affect downstream work.
AI steps have a defined failure behavior, confidence expectation and human escalation when consequences are material.
A useful minimum state model is created → owned → in progress → waiting or blocked → completed → verified. Actual implementations can use different states. Ambiguous limbo needs a way to become visible.
Technical success is distinct from business completion. Surface economically meaningful stale states, unowned items, overdue transitions and failed integrations. Reconcile systems that should agree.
An exception queue is often more useful than a broad dashboard when the operator needs to know what requires action.
A substantial new system, business function, department, data model, migration, application or materially different workflow architecture receives a separate build scope.
The business can notice events, route information, create useful context and put decisions with the right person or rule. The owner’s memory is no longer the primary control mechanism.
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