CASE STUDY: DECISION-MAKING UNDER UNCERTAINTY: Practical Portfolio Management for Modern R&D

This session takes a practical look at how portfolio teams can improve the quality and speed of strategic decisions using modern, simulation-based approaches. We focus on the methods Captario supports to bring clarity, structure, and confidence to complex project and portfolio choices, and we also touch on the emerging role of AI. 

Key themes explored:  

• Bringing risks, assumptions, and variability to the surface early through dynamic modeling and scenario exploration 

• Evaluating strategic portfolio options, trade-offs, acceleration paths, and dependency impacts with simulation-driven insights 

• Connecting project-level uncertainty to portfolio-level outcomes using clear, decision-ready metrics 

• How high-performing organizations use Captario to build consistent modeling principles, improve data readiness, and establish a repeatable decision-making framework 

• The growing role of AI in portfolio decision-making, from streamlined data preparation to smarter scenario evaluation