Service guides / AI automation
Human review points · AI automationForm data validation: human review points
Give reviewers specific decisions to make. Start with sample submissions and required field rules and plan a clean submission queue with error reasons.
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The project in view
- Start with
- sample submissions and required field rules.
- Proposed result
- a clean submission queue with error reasons.
- A decision to resolve
- valid records incorrectly rejected by strict rules.
This is a planning example. It does not describe a completed client engagement.
Human review points for this project
- Assign a reviewer who understands sample submissions and required field rules.
- Present a clean submission queue with error reasons beside its source so corrections can be checked.
- Require an explicit decision on valid records incorrectly rejected by strict rules; keep the decision in the review record.
Questions to answer together
- Which result must be approved before it is used?
- What source evidence should the reviewer see?
- How is a rejected result corrected and checked again?
What to have at the end
A review matrix with decision owners, evidence and a correction route.
Record the decision on valid records incorrectly rejected by strict rules alongside the source material. If it is still unresolved, identify who can answer it and what work depends on the answer.
Prepare your enquiry
Use this as a starting point. Add your current process, available examples and constraints before sharing.
Send your completed brief to hello@iansamonte.com or visit the main page to discuss your project.