Six categories of content that must be manually confirmed
1. Product Facts
Specifications, materials, compatibility, applicable conditions and limitations must be based on valid information and confirmed by someone knowledgeable about the product. The fluent expression of the model does not mean that the facts are correct.
2. Prices, discounts and external commitments
Contents such as price validity period, service scope, delivery period, warranty and compensation may give rise to actual liabilities and cannot be completed by the model itself.
3. Brand judgment
Tone, value stance, competitive comparisons and sensitive issues require judgment by the brand manager. Rules can help with screening, but they cannot cover all contexts.
4. Privacy, Trade Secrets and Permissions
For customer information, unreleased products, internal prices, contract content and restricted information, you need to confirm the usage rights and disclosure scope before entering the system.
5. Exceptions and data conflicts
When different documents give different conclusions, or inputs are missing, out of date, or unverifiable, the process should be stopped and handed over to humans, rather than letting the model choose a seemingly reasonable answer.
6. Final release
In pilots and high-risk scenarios, final release authority should belong to a clear business role. Only low-risk actions that have been fully verified, have controllable risks, and have a rollback mechanism will be considered for further automation.
How to design audit nodes?
| elements | Make content clear |
|---|---|
| reviewer | Who is individually responsible for the facts, branding or publication. |
| Audit object | Which fields, sources and risk alerts need to be checked. |
| pass conditions | What state can you enter to the next step? |
| Reason for return | Record errors using fixed categories to facilitate the formation of new rules. |
| version record | Preserve inputs, model outputs, modifications, and final versions. |
How does review feedback become an asset?
Don't just save the final text. The differences before and after the modification, the reason for the modification, the scope of application and the confirmer should be recorded. Recurring modifications can be converted into brand rules, banned expressions, product facts, or automated checks.
The way to truly reduce the manual burden is not to cancel the review, but to reduce the content that must be judged from scratch every time, so that personnel can focus on facts, exceptions and risks.
What metrics should be recorded?
- First pass rate and average review time;
- Type, severity, and recurrence of errors;
- The number of aborts due to missing or conflicting data;
- The amount of feedback translated into new rules;
- Circumstances requiring retraction or correction after publication.