BCS Blog

Step 2: Aim with the Right Ambition Too many AI programs stall because teams fall in love with the technology instead of the business problem. One reason why AI initiatives fail in the eyes of management is not that they failed technically, but that they failed to bring tangible and relevant business benefits. Their benefits are seen as too insignificant and as waste of time. It's tempting to experiment endlessly—new models, new tools, new proofs of concept—but activity is no

Step 1️. Start with the Right Reason Many organisations jump into AI because it feels innovative or because competitors are doing it. But “doing something with AI” is not a strategy. If the goal is not tied to a genuine business need, the results will be disappointing. Successful AI initiatives begin with a clear problem to solve, like for instance: - reducing costs - increasing speed or efficiency - improving customer experience - growing customer lifetime value - strengthen