The transformation challenge leaders are facing right now
Large-scale transformation programmes are, by nature, complex. They involve multiple stakeholders, new systems, and significant organisational change. Increasingly, they also involve AI – embedded across processes, systems, and delivery models.
But in practice, AI within transformation is often approached in a fragmented way. It may be introduced as part of a specific technology implementation, layered into tools used by delivery teams, or adopted by individuals seeking productivity gains. Each of these can deliver benefits. However, they rarely combine into a single, coherent transformation narrative.
As a result, organisations can find themselves making significant investment decisions without a clear view of how AI is shaping outcomes. Transformation programmes move forward, but the role of AI within them remains unclear and under-optimised.