AI can accelerate analysis, but project professionals still need to determine what matters, what context is missing, and who owns the outcome. Five practical guidelines show how human judgment can strengthen AI-assisted decision-making in complex project environments.
AI is increasing the speed of project work, but the value those projects deliver depends on whether organizations can raise the quality of human judgment, learning, and coordination at the same pace. Project professionals surface critical context through relationships, observation, and day-to-day interaction, turning AI-informed recommendations into decisions that hold inside the organization.
Navigating this modern project environment was the theme of a PMI webinar hosted by Lenka Pincot, featuring Professor Johan Roos of Hult International Business School and Luxembourg School of Business, Dr. Leon Herszon of Value Edge Group, and Ronald van Loon of Intelligent World. Their perspectives highlighted five guidelines for applying human judgment: filtering for what matters, testing decisions against the system, surfacing tacit knowledge, using AI to challenge decisions rather than make them, and defining governance before adding more AI.
