Strategic Leadership Advisory to Accelerate AI Success at Scale
As AI becomes democratized, the competitive edge has shifted from who has the best technology to who can lead through uncertainty, inspire teams, and turn potential into progress at speed.
Amidst the surge in companies’ AI investments, a quiet truth is overlooked: the success of AI hinges less on the models themselves and more on the leaders who envision, implement, and scale their use. Yet only 38% of leaders we surveyed believe their organization has the right leadership in place to succeed with AI. While some recognize the importance of leadership in AI initiatives, they may lack clarity on how to enhance it. Through our research, we’ve identified five leadership behaviors that consistently accelerate AI adoption and impact, what we call ‘AI Velocity’:

Hiring the right leaders is paramount. But doing so isn’t easy—the skills that matter most rarely show up on a resume. And, hiring is not enough on its own. There simply isn’t a high enough supply of AI-ready leaders in the market to meet demand. In addition to hiring, organizations need to identify and develop the leaders they already have—the ones who can think strategically, lead across silos, and inspire trust.
Effective AI leadership isn’t the job of a single person; it requires to complementary archetypes working in concert. AI Architects design and govern the technical foundation, ensuring scalable, responsible infrastructure. AI Shapers embed AI into business workflows, driving adoption, trust, and real-world impact. Both roles are essential, and it’s their collaboration that turns potential into performance.
SHAPEIndex helps close the leadership gap – and to our knowledge, it’s the only framework specifically designed to assess and develop AI Velocity across both technical and non-technical leaders and teams.
