Step 1

Classify content risk

Separate evergreen product education, promotional pricing, regulated claims, partnerships, customer stories, and reactive content.

Assign required evidence and approvers to each class. Low-risk drafts can use sampling after the workflow establishes a clean history.

A single approval rule for every post either slows safe work or under-reviews risky work.

Working checklist

  • Define risk classes
  • Assign evidence needs
  • Name approvers
  • Set sampling rules
Step 2

Make factual review explicit

Show source product data beside the generated draft. Review prices, variants, materials, guarantees, availability, and destination links as discrete checks.

Require the reviewer to resolve warnings rather than simply clicking approve on a polished preview.

Visual quality can distract from a factual error. Keep accuracy checks visible and structured.

Working checklist

  • Display source fields
  • Create factual checkboxes
  • Flag unsupported claims
  • Verify the destination
Step 3

Separate brand and channel review

Brand review asks whether the language and imagery feel like the store. Channel review asks whether the format, length, tags, and call to action work in context.

Combine roles on a small team but keep the questions distinct so a good caption does not excuse a poor crop.

Do not treat one desktop preview as proof for every network and device.

Working checklist

  • Review brand voice
  • Preview each channel
  • Check safe areas
  • Add alt text
Step 4

Learn from corrections

Tag every rejected or edited draft with a reason. Review recurring problems monthly and update prompts, templates, exclusions, or source data.

Use correction rate as a release criterion before enabling faster approval or greater volume.

If the same error recurs, more reviewer effort is not the fix; the upstream rule needs to change.

Working checklist

  • Tag rejection reasons
  • Review monthly patterns
  • Update guardrails
  • Set a quality threshold