Web platforms
Content updates should not need a deployment
Keep editable content and uploaded files separate from application releases, and give editors a workflow that matches the website.
ExploreDesign human review into AI workflows
Make the boundary between a generated suggestion and a real business action explicit in the product.
A useful draft is not an approved action
An AI system may prepare a reply, extract fields or suggest a follow-up. Each output still needs the same checks as any other untrusted input.
The product should distinguish between creating a suggestion and committing an action, particularly when that action sends information or changes a customer record.
Give the reviewer enough context
Show the original source where appropriate, identify fields that are missing and make corrections straightforward. Do not hide uncertainty behind a polished paragraph.
The reviewer should know what accepting the result will do and which external systems will be affected. Confirmation is not meaningful when the consequence is unclear.
Use application controls around the model
Permissions
Check the acting user in server code, independently of the model output.
Validation
Reject unsupported fields, invalid identifiers and actions outside the workflow.
Audit
Record what was suggested, what was approved and the action taken, subject to the agreed data-retention policy.
Evaluate review burden as well as output quality
A feature that produces plausible text but needs constant correction may not save time. Use representative examples to measure errors, corrections and failed tasks.
Keep a way to pause automation and return to the manual workflow while a problem is investigated.
Explore AI automation