The best answer is B. Develop a comprehensive usage scenario analysis. In PMI-CPMAI, a strong AI scope statement must reflect how and where the solution will actually be used. That includes the operating environment, device context, user roles, workflow touchpoints, and practical implementation assumptions. PMI's exam outline emphasizes defining the AI project scope, documenting assumptions and constraints, planning integration with existing systems and workflows, and establishing solution requirements that support successful deployment and adoption.

A usage scenario analysis is the best way to capture those details because it translates business intent into realistic operational conditions: who will use the system, on what devices, in which environments, and under what constraints. A technical requirements audit may come later, but it is not the best primary method for describing user context in the scope statement. Stakeholder buy-in is important for alignment, yet it does not itself generate the needed scope content. ''AI efficacy program'' is not the clearest PMI-CPMAI-aligned artifact for this task. Since the question asks what the project manager should do to include environments, devices, and personnel in scope, scenario analysis is the most direct and defensible PMI-style answer.