Track 3

TBM is easy to explain but harder to operationalize. Stephanie Roe, former State of Washington TBM program leader, shares the sticking points that slow progress and the lessons that moved her program from towers to decision-ready insight. Hear what worked, what didn’t, and leave with a practical do-this-not-that playbook to accelerate adoption and accountability in 2026.

Most AI return on investment discussions capture infrastructure, token, and licensing costs, but they exclude or undervalue productivity gains, workforce capacity shifts, and mission acceleration. In this session, learn how a mature TBM baseline and the Autonomous Work Equivalent concept can translate those impacts into defensible unit metrics that stand up to scrutiny.