How to Build an AI Strategy That Actually Delivers ROI

By conservative estimates, the majority of enterprise AI initiatives fail to deliver their projected business value. The technology works. The data is there. The budget gets approved. And then — months later — the project gets quietly deprioritised, the team moves on, and the organisation is left with a sophisticated proof-of-concept that never made it to production. This is not primarily a technology problem. It's a strategy problem. Why Most AI Strategies Fail The failure patterns are remarkably consistent across industries and company sizes. Starting with technology, not problems. "We need to implement AI" is not a strategy — it's a solution in search of a problem. Every successful AI deployment starts with a specific, measurable business problem and works backwards to the technology. Every failed one starts with the technology and works forward to a justification. Choosing the wrong first use case. Companies frequently pick their most ambitious, most complex use case as their AI fl