Most AI creative workflow diagrams show tools: generate here, upscale there, edit somewhere else. That misses the actual workflow, which is a chain of decisions and handoffs between people. The asset travels from brief to strategist to artist to reviewer to client to production — and context leaks at every transfer. A production workflow is the discipline of making context travel with the asset.
The seven stages
- Brief: objectives, references, constraints, and rights requirements recorded against the asset identity.
- Generation: explorations with prompts, models, and parameters captured automatically.
- Review: candidates evaluated against the brief with notes attached to versions, not chat threads.
- Revision: explicit new versions with recorded causes, never overwrites.
- Approval: status transition with author, date, and rationale.
- Variants: branched derivatives with parent links and delivery constraints.
- Delivery: finals promoted with identity and lineage references intact.
Where workflows actually break
The Production handoff memory workflow addresses this handoff problem, and the AI production handoffs guide explains it in more detail. Fix transfers before optimizing individual stages.
Stage-gate record checks
What each gate verifies
| Gate | Pixel check | Record check |
|---|---|---|
| Review | Does it meet the brief? | Is the recipe attached to the candidate? |
| Approval | Do we sign off? | Are rationale and constraints recorded? |
| Variants | Do derivatives match? | Are parent links and specs attached? |
| Delivery | Is the file correct? | Does lineage trace to the approved source? |
Implementation checklist
Workflow checklist
- Map your seven stages and name who owns each handoff.
- Require production records on review candidates, not just finals.
- Record revision causes; forbid silent overwrites.
- Verify lineage at the variant and delivery gates.
- Review handoff time and rework hours monthly.
What to measure in a paid pilot
Use handoff time, revision cycle time, wrong-version incidents, and reproduction success as baseline measures. The workflow assessment benchmarks these before a production pilot.
Start with the workflow assessment to find where your team loses context today, read the Production Memory guide, and browse the use-case library for related workflows.
Key takeaways
- Stages: brief, generation, review, revision, approval, variants, delivery — with records at each.
- The handoffs between stages lose more context than the stages themselves.
- Capture context at creation; stage-gate reviews verify the record, not just the pixels.
- Workflow maturity is measured in traceability, not output volume.