AI Transformation Requires Shared Leadership

I recently attended a CTO event where I observed a common assumption about leadership roles in the age of AI. As a chief transformation officer rather than a CTO, I realized we often approach this technology with incomplete perspectives.

The initial response from the CISO – “This is our time” – struck me as narrow-minded. While security is crucial, AI’s impact extends far beyond technical controls, reshaping jobs, workflows, and even how people experience work.

The Missing Dimension: People & Process

My early perspective focused on the need for cross-functional collaboration—technology, security, legal, finance, and business units all playing a role. But I now understand that true transformation centers on redesigning how work itself is done.

Technology creates possibilities, but operational models determine value creation. A technically brilliant AI program can fail if the organization doesn’t evolve around it—if workflows remain unchanged or managers lack clarity about desired outcomes.

From Pilots to Enterprise Integration

As I led AI operationalization efforts, I realized no single function could own this transformation. Technology and data leaders must ensure architectural readiness, while security and legal establish ethical boundaries.

But the most critical insight: AI’s value emerges from what happens around the technology, including where human judgment remains essential and how the company can now operate differently.

McKinsey research confirms this—redesigning workflows is the factor most associated with AI’s bottom-line impact. Raising the ceiling through transformation complements AI’s ability to raise the floor of performance.

The accountable executive should establish strategic focus areas, ensure governance enables rapid decision-making, and foster alignment across leadership on risk tolerance.