Using the CPMAI Methodology to Move Beyond AI Adoption to Business Value

  Artificial Intelligence  

PMI-Led Content — This article is produced by PMI in partnership with PMIxAI. The perspectives shared reflect the individual experiences of the contributing Ambassadors.

Following the webinar “From Learning to Practice: Applying the CPMAI Methodology on Real-world AI Projects,” PMIxAI Ambassadors Yahiro Takegami and Jung Soo Kim share how they apply the CPMAI methodology in their everyday work—and what they have learned along the way. 

Yahiro Takegami 

I view CPMAI not as a methodology for adopting AI, but as a methodology for realizing business value. Having worked on AI initiatives for many years, I found that the CPMAI methodology provided a framework that helped me articulate and organize concerns I had long struggled to define. How do we keep AI work connected to outcomes, data, stakeholders, and measurable improvement? 

What motivated you to pursue the PMI-CPMAI certification, and what problem or opportunity were you hoping it would help you address in your work? 

In 2016, we established an AI Center of Excellence (AI CoE) with a major e-commerce client. Between then and 2023, we worked to expand AI use cases across a wide range of business functions to support the client’s business objectives.

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