A government agency plans to implement a new AI-driven solution for automating risk analysis.

In the CPMAI-aligned approach, before committing to an AI solution, teams perform a structuredAI go/no-go assessmentto determine whether AI is actually the right tool compared with traditional analytical or rules-based methods. This assessment looks atdata readiness, technical feasibility, business value, risk, and alignment with stakeholder expectations. It is also where the project scope is clarified and boundaries are set: what problems AI will address, what remains non-AI, and what success looks like in measurable terms.

CPMAI and PMI-style AI guidance emphasize that you shouldnot jump directly into model buildingor specific architectures before you have answered the fundamental question: “Is AI the appropriate approach here, given our data and constraints?” The go/no-go assessment explicitly compares AI options with conventional solutions, evaluates whether available data is sufficient and usable, and highlights ethical, regulatory, and operational risks. This process provides a transparent, evidence-based decision that helps gain acceptance from stakeholders because they see that AI was chosen (or rejected) after a systematic evaluation. Therefore,performing a comprehensive AI go/no-go assessment focusing on technology and data factorsis the method that best meets the objective.