Insights

The next measure of maturity is not how much data an organisation controls. It is how effectively that foundation helps the enterprise decide, simplify, change and scale AI. Data governance has done essential work. As data estates expanded and regulatory expectations increased, organisations needed clearer ownership, stronger controls, consistent definitions and evidence that critical data could be trusted. Starting with the highest-risk domains was logical. In regulated indu

2026 is exposing an uncomfortable reality for many organisations. Despite heavy investment, AI adoption has not delivered the transformational impact leaders expected. The issue is not a lack of tools, talent, or ambition. It is that most organisations are solving the problem at the wrong level. AI adoption is not primarily a technology challenge. It is a behavioural one. Yes, AI can drive efficiency by automating routine work. But its real value lies elsewhere. It lies in cr