AICORE ACADEMY — AI USE-CASE AND REVIEW CHECKLIST
Version 1.0 | 27 October 2026 | Free introductory resource

1. DEFINE THE TASK
Business problem:
Task owner:
Approved source documents and revisions:
Required output:
Baseline measure (observed, not invented):
Target measure:

2. SET BOUNDARIES
[ ] Use synthetic or authorized data.
[ ] Remove unnecessary personal and confidential information.
[ ] Specify what the tool may draft and what it must not decide.
[ ] Mark missing information NOT PROVIDED.

3. CHECK THE OUTPUT
[ ] Compare factual statements with named sources.
[ ] Recalculate totals independently; preserve quantities and units.
[ ] Record assumptions, document versions and checking notes.
[ ] Check for omissions, conflicting instructions and unsupported claims.
[ ] Obtain qualified review for technical and safety-critical decisions.

4. APPROVE BEFORE ACTION
Reviewer:
Actions requiring explicit approval:
Failure or uncertainty escalation:
[ ] Do not send, publish, pay or change records without authorization.

5. RUN FIVE SYNTHETIC TEST CASES
Case | Input source | Expected result | Actual result | Errors | Reviewer
1.
2.
3.
4.
5.

6. PLAN THE NEXT 30 DAYS
Week 1: Choose the task and record the baseline.
Week 2: Test with synthetic cases and revise instructions.
Week 3: Review results and confirm permissions.
Week 4: Decide whether to adopt, change or stop the workflow.

LICENSE: Free for individual and internal business use and adaptation.
Do not resell or redistribute as a competing template product.
No academy endorsement or guaranteed outcome is implied.