AIPGF Practitioner Implementation Sequencing and Next Steps

Implementation sequencing is where Practitioner judgment becomes visible. The strongest next step is not always the largest programme of work. It is the action that closes the most important governance gap in an order the organization can actually absorb.

What to understand

Good sequencing usually starts with enabling actions such as:

• clarifying acceptable-use boundaries
• defining key roles and decision rights
• making evidence and review expectations explicit
• creating a baseline through benchmarking

Only after those foundations are visible does it usually make sense to expand broader uplift, training, or enterprise rollout activity.

Example

An organization wants a comprehensive AI governance transformation plan. Benchmarking shows that projects still do not share a common approval path. The stronger next step is to define and operationalize that path first, not to begin with a large communications campaign about maturity ambition.

Common pitfalls

• Starting with awareness instead of structure.
• Trying to solve every governance weakness at once.
• Choosing a future-state initiative before the enabling controls are usable.

Sample Exam Question

Benchmarking shows that teams are already interested in responsible AI use, but role ownership and approval expectations differ widely across projects. Which improvement action is strongest next?

A. Launch a wide awareness campaign about the long-term benefits of AI governance.
B. Define and implement clearer ownership and approval expectations before wider uplift activity.
C. Delay action until every project can be benchmarked in full detail.
D. Focus first on advanced optimization metrics because enthusiasm for AI is already high.

Best answer: B

Why: The strongest next step is to close the enabling governance gap that blocks consistent application across projects.

Why the others are weaker: A is too broad for the current problem. C delays a necessary action. D jumps too far ahead.