Reimagining Project Risk Management with GenAIThe rise of capable foundation models built on Generative AI (GenAI) is driving a major shift in knowledge work: an agentic shift, where machines begin to take on increasingly autonomous roles in cognitive tasks across diverse domains. This talk examines how GenAI’s strengths in generating, analyzing, and reasoning over text are already impacting the domain of project risk management.
Following a brief introduction to GenAI and agentic AI systems, the talk focuses on two real-world use cases, already implemented in the field. The first deep-dive will be on AI-driven proposal management, with an emphasis on the use of GenAI to generate automated risk assessments that inform both contract negotiation and project planning. The second presents a case study on applying GenAI to navigate complex legal environments by analyzing regulations, process manuals, and related documents to identify key obligations and risks.
Together, these cases show how GenAI is already now becoming an important tool in the tool box of human experts when navigating complex risk landscapes.
This is from the conference "Uncertainty Management - Risk Management in a Rapidly Changing World". Read about the conference themes here.About the speakers:
Troels is a Director at Accenture within Data & AI and has been working with Data and AI for the past 15 years, 9 of which in consulting. Troels is passionate about bringing theory to practice and delivering innovative and impactful solutions for clients. He has extensive experience in solution development, from envisioning the possibilities to developing proof-of-concepts and realizing production benefits. He combines a deep theoretical foundation with business understanding and pragmatic solution design to deliver impact and value creation.
Mikkel is a Director of Data Science in Halfspace – part of Accenture, where he works with our client to design and build AI solutions, with a laser focus on having actual impact on business outcomes. Mikkel has broad experience within AI, and has driven AI product development in diverse areas, including forecasting, dynamic pricing, GenAI-driven proposal creation and risk management, agentic AI systems, and more. He holds a PhD in Particle Physics from the University of Oxford.