Why AI value matters more than adoption
Since ChatGPT launched in November 2022, AI adoption has accelerated rapidly. But adoption alone doesn't guarantee business value. The question leaders are asking is shifting from "What can AI do?" to "Where is the value?" Much of the first wave of AI was technology-led: experiments designed to discover what was possible. Delivering value requires a different starting point. The question isn't "what can we do?" but "what should we do?" Start with the business problem, define how value will be measured and design the solution around it. That is the difference between a pilot that impresses and a capability that scales
Without clear ownership, success measures and the right foundations, even promising AI pilots can struggle to move into production. Drawing on Columbus specialists across data, AI, automation and commercial roles, this report examines why adoption stalls, why pilots fail to reach production, which foundations value depends on, and the governance and accountability that make scale possible.
Take a look inside the report
- Barriers to AI adoption – why cost isn't always the real barrier, why progress doesn't depend on perfect data and what organisations risk by delaying action.
- Why AI pilots stall – why a successful pilot doesn't automatically create business value and how clear ownership and success measures help move AI into production.
- Building the foundations for AI value – the process, data and knowledge foundations AI depends on, how to start small and scale proportionately and when to build custom AI or buy off the shelf.
- Responsible AI, governance and accountability – how effective governance can support rather than slow AI adoption, how to address shadow AI and why people still need to remain in the loop.
- From adoption to value – what organisations making progress with AI do differently and how to take proportionate steps towards value without defaulting to a multi-year transformation programme.
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