Technical Roundtable - Catalysts for a Triple Bottom Line AI Future: How Project Managers Drive Impact Across People, Planet, and Profit
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Catalysts for a Triple Bottom Line AI Future: How Project Managers Drive Impact Across People, Planet, and Profit
Artificial Intelligence has the potential to transform how organizations operate—but without intentional alignment to people and sustainability, its benefits can be uneven or even harmful. In this session, Michael Papasevastos explores how project managers can act as catalysts for a “triple bottom line” AI future that advances people, planet, and profit. Drawing on his work in responsible AI and sustainability, Michael will highlight the practical role project leaders play in ensuring AI strategies support human well-being, environmental stewardship, and organizational value. Participants will leave with a deeper understanding of how to integrate ethical, sustainable, and profitable outcomes into AI-driven projects.
Discussion Points
- How the triple bottom line framework (people, planet, profit) can guide responsible AI strategies.
- The unique role of project managers in embedding sustainability and ethical practices into AI initiatives.
- Practical strategies for aligning AI projects with organizational goals while delivering long-term value to employees, communities, and the environment.
About the Speaker
Michael Papasevastos is a seasoned technology leader with a proven track record of delivering transformative solutions at scale. He has architected and influenced critical platforms while providing hands-on technical leadership to cross-functional, global teams. With deep expertise in multi-cloud strategy and modern software systems, Michael is known for driving initiatives that maximize business impact and elevate the user experience.
Passionate about leveraging transformative technologies—particularly AI—he focuses on scaling enterprise capabilities, modernizing legacy systems, and unlocking new value streams for stakeholders. Michael thrives at the intersection of strategy and execution, consistently aligning technology decisions with long-term business outcomes.
