Insights

At TechCon 365, 18 leaders self-scored their organizations on our 2026 AI Adoption and Governance model. The average landed at 257 of 500 (Managed), and nobody reached the next tier. Access to chat tools scored highest (367), yet autonomous agents (206), ROI tracking, and token-spend control lagged: a 161-point access-action gap. Governance leans on published policy, not people (13 of 18 rely on IT help desk). Access is solved; proving value isn't.

MIT says 95% of AI pilots never make it past the demo, and the number hasn't moved in 2026. The failure is almost never the model. It's operating discipline. This piece breaks down what separates the 5% that reach the P&L: a use-case backlog built from real work, governance set before scaling rather than after the audit, and a named human owner on every AI output. Plus why four-to-six-week sprints beat six-month decks, and the three questions to ask before anything ships.

A practical conversation with Synozur’s transformation leader Rob Asen on why transformation offices succeed where traditional PMOs stall, how AI changes leadership reach, and the five lenses that put strategy into motion: vision, leadership, impact, capacity, and measurement.