V2 Designing High Performance AI Negotiation Agents Strategy, Structure, and Outcomes

In this webinar, Brhea D'Mello, winner of the MIT AI Negotiation Competition, reveals the strategy and prompt architecture behind a competition-winning AI negotiation agent. Drawing on lessons from designing, testing, and competing with AI negotiators, she explores how structured reasoning, strategic constraints, and planning frameworks can improve negotiation outcomes across value creation, value claiming, and efficiency. The session also examines how AI agents interact with human and AI counterparts, the opportunities and limitations of AI in complex negotiations, and what the future may hold for AI-assisted negotiation. Whether you are building AI agents, experimenting with large language models, or simply curious about the intersection of AI and negotiation, this webinar offers practical insights and concrete frameworks for designing and evaluating AI negotiation strategies.