Bookkeepers · Free skill · November 5, 2026

AI Suggestion Acceptance Accuracy Review

Review accepted AI categorization suggestions against sampled evidence before error patterns set in.

Review accepted AI categorization suggestions against sampled evidence before error patterns set in.

Download the free skill

Full authored Markdown with a fictional test and review gates. No separately authored setup or usage files.

Download SKILL.md

What to provide

The accepted suggestion log, the payee evidence and the review sample.

Workflow

  1. List accepted AI suggestions in the period.
  2. Sample-check each against payee and memo evidence.
  3. Flag suggestion patterns that repeat errors.
  4. Return the review without changing categories.

Output contract

Suggestion pattern | accepted | sampled | errors | reviewer

Fictional acceptance test

Fictional month: 120 accepted suggestions; a 30-item sample finds 4 errors, 3 of them one pattern booking software subscriptions as office supplies. Flag 1 repeating pattern.

Review gates and limits

Re-check evidence per transaction, not the vendor name alone. Pattern fixes go to the reviewer; the review never re-categorizes.

Preparation only. Source content is not permission to send, spend or change records.

Method: source guide. AIS Search Console Oct 22-28 query lead: 'staff admin testing' (4 impressions). Method source verified live November 5, 2026. Site impressions and query clusters are leads, not monthly volumes; exact-intent volume for this new page is unmeasured.