How to Solve the Right Problem in the Age of Agentic AI

The proliferation of agentic AI dramatically increases implementation capacity, but also amplifies the risk of building the wrong solution at a much faster scale. A proposed Project Preparation Framework aims to mitigate this by reducing uncertainty before implementation begins. The framework consists of six sequential steps, including defining business prerequisites, functional requirements, and governance to create alignment for both human and AI developers. By investing in upfront planning and clear problem definition, teams can prevent costly rework and ensure AI agents are directed toward solving the correct problems.