A lead email is validated, matched to an existing company, classified against explicit criteria and turned into a draft response. A person approves the commercial message before the CRM is changed. The workflow then reads the CRM record back to confirm the result.
Academy / How AI workflow automation works
How AI workflow automation works
Follow a real workflow from the first trigger to a useful result, including checks, approvals and recovery when something fails.
SHORT ANSWER
How AI workflow automation works
A production AI workflow moves through explicit stages: trigger, validation, context retrieval, decision policy, optional human approval, controlled action and readback. The AI is one component inside that workflow, not the workflow itself.
A 200 response is mistaken for a completed task, retries create duplicate records, low-confidence output continues to an action, or the workflow cannot resume from a safe checkpoint. These are orchestration failures, even when the model response looks good.
Draw seven boxes for one workflow: trigger, validate, retrieve, decide, approve, act and read back. Under each box, write its owner, failure condition and safe retry behaviour.
- Idempotency
- Repeating the same request does not create an additional unintended effect.
- Readback
- Reading persisted state after an action to verify what actually changed.
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