Philip Madgwick
Most AI failures are governance failures in disguise
Decentralized AI workflows, tight integration into everyday operations, and high-quality governed data are the conditions for scaling. But conditions alone do not produce outcomes. What converts them into measurable business impact including lower costs, faster decisions, and improved performance, is governance that functions as enforcement, not aspiration.
