Why most AI transformations fail before they even begin
South Africa, June 8 -- The ambition is clear: improve efficiency, unlock growth and future‑proof the business.
Yet despite this momentum, many AI initiatives fail to scale or deliver meaningful impact. The issue is rarely the technology. The difference is where organisations start.
Most AI programmes start with tools. New models. New platforms. New automation. What they often lack is a unified, usable understanding of the customer.
Data exists in abundance, but it is fragmented across systems, channels, and teams. Identity is duplicated, inconsistent or inferred.
In this environment, AI does not create clarity. It simply accelerates fragmentation.
True transformation starts earlier. It starts with identity. It starts with firs...
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