Leading AI projects takes more than enthusiasm for the technology. It requires control of seven key areas: business value, agent design, grounded data, evaluation, governance, platform strategy, and adoption. It also requires continuous learning, because the tools, patterns, and risks are changing fast. This article explains what project and program managers need to understand to stay current and lead AI initiatives with structure, credibility, and measurable results.
