AI Operating Charter
Record your question, keep your work and explain the evidence behind your next step.
Use this charter to record ownership, evidence, boundaries, failure handling, quality, value and release decisions for an AI capability.
No AI is required to fill in this page. Bring your own service/workflow notes, or use the starter case. Use AI/GPT only when an activity is explicitly marked Prompting exercise.
Record your opening question, update the operating charter during the course and distinguish observed evidence from assumptions.
Your AI Operating Charter, current operating decision, evidence gaps and next review trigger.
This is a working record, not a prompt and not proof that a production AI system is safe or ready.
How to use your workbook
This page is for your own notes and evidence. It is not a prompt library. Write in the cards, save on this device, copy, print or download. When a course activity wants you to paste something into AI/GPT, that activity will be explicitly labelled Prompting exercise and the copyable text will be separated from explanation.
My question and what I learned
MY QUESTION Course / date: My work or curiosity: My priority question: My route: own work / help choosing / starter case A useful result would be: Experience / access help needed: RETURN TO MY QUESTION Status: answered / demonstrated / needs more evidence / outside this course I came in asking: My answer now: The output, decision or evidence that changed my view: What I still need to find out, and how: My next small application: Optional next-week check: new input / what held / what changed
AI Operating Charter
THE CAPABILITY Useful outcome / users / limits: Business owner / operator / exception decision maker: Current mode and reason: Allowed actions / approval / stop rule: Test cases: input / expected behaviour / observed result / decision: Critical failures that block release: Failure signal / next check / fallback / recovery owner: Record needed to reconstruct what happened: Health sign / threshold / action / owner: Quality sign / threshold / action / owner: Value and cost unit / evidence / unknowns: Change that requires re-testing / affected cases / release owner: Current decision: proceed within stated scope / add controls / reduce authority / stop Evidence type and remaining gaps: Next review trigger or date and owner: Question status and next application:
A completed example
Fictional worked example. Inspect it, then record your own reasoning and evidence.
- Question: Would I allow this quotation assistant to send on its own?
- Owner/operator: Mira owns business outcome; training operator investigates execution; Farah handles delivery follow-up.
- Decision: Prepare mode only; checked human sending. T3's unauthorised send and S10's stale price block automatic sending.
- Recovery: Hold uncertain retries, inspect sent records, assign missing follow-up, retain approval/version/receipt together.
- Quality rule: Any unauthorised send or incorrect price triggers restricted sending and affected-case recheck by Mira. This is a classroom rule, not a universal acceptable-error standard.
- Value: RM1,500 nominal time value versus RM1,600 stated operating cost gives −RM100 before other benefits/costs; realised cash savings and sales uplift are unproven.
- Release: Retest new price, missing details, discount refusal and approval before sending after changes. Mira reviews before increasing authority and after any critical failure.
- Evidence: Simulated operating decisions; no claim of production readiness.
What is it allowed to do?
| Mode | What may happen | Quotation example |
|---|---|---|
| Observe | Read allowed information and report it | Identify a missing quantity |
| Recommend | Propose a next step; person decides and acts | Recommend asking for delivery details |
| Prepare | Create a draft for review; no customer send | Draft Q-104 |
| Act after approval | Perform a specified action after the named approval | Send the approved version to the verified recipient |
| Act within limits | Perform only a pre-authorised class of actions within tested limits | Update a permitted training status field; exceptions go to the owner |
Ask separately what a mistake could change and whether it can be reversed. Writing a rule is not proof that a system enforces it.
Check request and facts → confirm authority or obtain approval → act → verify the resulting state.