On February 11, 2026, the Energy Evaluation Asia Pacific (EEAP) organized its 24th webinar, focusing on the topic of “From Data to Design: Using AI to Improve Clean Energy Interventions.”
The session featured a joint presentation by:
- Peter du Pont, Co-CEO, Asia Clean Energy Partners
- Mrutyunjaya (MJ) Nanda, Team Leader – Technology & Markets, Asia Clean Energy Partners
The webinar examined how AI can be used in practical, structured ways to develop a more efficient approach for semi-structured and guided interviews that inform the design of clean energy programs and initiatives. Rather than treating AI as a stand-alone solution, the speakers presented it as part of a structured, evidence-based process that combines desk research with stakeholder interviews, transcript-based qualitative analysis, and iterative validation. Through real-world examples with development financing institutions, they showed how this approach helps identify constraints and opportunities that are often missed in secondary research alone, and how those insights can improve the design, prioritization, and feasibility of interventions.
The speakers focused on the process for collecting raw interview transcripts and transforming them through AI prompts to develop actionable strategic recommendations for clients. The presenters highlighted the importance of effective design of AI promptsdesign, methodological discipline, and expert interpretation in ensuring that AI-generated outputs are credible, well-documented, and robust. They also emphasized that validation with stakeholders is essential for maintaining accuracy and trust in AI-supported research. The session demonstrated how practitioners can integrate AI tools into the practice of program design and evaluation, thereby improving both the speed and quality of analysis. And at the same time, a more robust and broader set of stakeholder interviews can provide the client with greater transparency and confidence in the research results, and ultimately in the design of the program or intervention.
Overall, the webinar provided a practical framework for using AI tools to support faster, smarter, more responsive qualitative research for clean energy programs, and provide clients with more context-responsive energy interventions across the region.
Presentations:
Summary Notes
Download the Summary notes here.
Recording:
Access the recording here.