AIPGF Foundation Tailoring AIPGF by Context, Size, and Risk

Tailoring means making governance proportionate. AIPGF Foundation does not reward a one-size-fits-all answer. It rewards the candidate who recognizes that AI governance should become stronger or lighter based on the real use case, risk, and organizational context.

What to understand

The most relevant tailoring factors usually include:

• project or programme size
• complexity of the delivery environment
• AI-related risk and possible harm
• data sensitivity
• novelty of the use case
• external exposure and stakeholder impact
• existing governance maturity

A small internal use case may justify a lighter control set than a citizen-facing or decision-influencing AI use case. But “small” is never a reason to remove governance completely.

Example

A team wants to use AI for internal formatting of non-sensitive status notes. Another project wants AI to recommend which supplier issues deserve escalation. The second case has greater consequence and decision pressure, so it needs stronger review, evidence, and accountability even if both teams are using AI inside project management work.

Common pitfalls

• Assuming that a small project can skip real governance.
• Applying the heaviest control model to every use case regardless of risk.
• Tailoring only by budget or team size while ignoring data sensitivity or decision impact.

Sample Exam Question

Two projects want to adopt AI support tools. One uses AI for internal meeting-note cleanup on low-sensitivity data. The other uses AI to prioritize cases for stakeholder escalation. Which governance approach is strongest?

A. Apply identical governance controls because all AI use should be governed the same way.
B. Use no formal governance on either project because both uses are internal to delivery.
C. Tailor governance depth to the specific use, with stronger controls on the escalation-prioritization case.
D. Focus governance only on the note-cleanup case because text generation creates more visible output.

Best answer: C

Why: Tailoring is a core AIPGF idea. Governance should reflect the real consequence, risk, and sensitivity of the use case rather than using one blanket rule.

Why the others are weaker: A ignores proportionality. B removes governance too easily. D focuses on visible output instead of the higher-impact decision use.