The Great AI Reset: CIOs Pivot from Pilots to Business Value

After a flood of AI experimentation, IT leaders are going back to the basics of governance, change management, and metrics to ensure initiatives deliver key value for the business at scale. In this exclusive interview, Kieran Gilmurray breaks down why so many AI projects fail to scale, how leaders can bridge the gap between business and technology, and what forward-thinking CIOs must do now to turn artificial intelligence from hype into hard results. The final shift to AI Native is about operationalizing AI at scale – taking those intelligent systems and embedding them directly into business workflows where decisions are made and value is created.

CIOs must demand more than a demo; pilots should be designed with a clear path to production, a metric-based business case, and alignment with the stakeholders who own the outcomes. Scaling requires orchestration. An article advises CIOs to turn scattered AI pilots into business wins by stepping up and scaling smartly, addressing cost, security, and performance issues as agents proliferate.

Goodchild’s remedy focuses on returning to fundamentals when pilots disappoint. “Fixing this often means going back to basics: clarify the use case, strengthen data pipelines, and establish feedback loops for continuous learning.”