Why Your AI Initiative Is Failing And It's Not Your CIO's Fault
A high-level financial services executive said something to us recently that got our attention:
"We handed our AI transformation to the CIO. Eighteen months later, we had a platform and no results."
We hear this more than we should.
The Misdiagnosis
When CIOs lead AI initiatives alone, they default to what they know: infrastructure, governance, platforms, architecture. That work really matters. But it isn't where business value lives and treating AI as a technology initiative is the first mistake most organizations make.
These aren't technology projects. They're business performance projects that happen to use AI. The technology is just the ‘means’ and the business outcome is the ‘mandate’.
The data isn't kind about what happens when that distinction gets lost.
Gartner found that only 48% of AI projects ever make it into production. Of the ones that do, only 28% fully succeed and meet ROI expectations. And Forrester found that fewer than 1 in 3 organizations can actually tie their AI initiative to a P&L change.
We’re seeing that companies investing in AI can't draw a line between what they spent and what it returned. We don’t believe this is a technology problem, but more of an ownership problem.
The Insight
"The CIO shouldn't own the AI initiative. The P&L owner should. Business leaders find the opportunities first. AI experts help prioritize which ones belong on a shortlist. The person who owns the P&L number should determine what success looks like and how it feeds back into the P&L. The CIO can shape how it's measured. But what the metric is belongs to the business leader.”
Among the organizations that did succeed with AI, Gartner found success came primarily from integrating AI into existing workflows and securing full support from business executives not from the sophistication of the model or the scale of the infrastructure investment.
Workflow redesign is a business decision and less of a technology decision. It belongs to the person who owns the outcome.
What The Failed Experiment Looks Like
We’ve seen a failed engagement up close that became a fishing expedition. A year of AI exploration inside a finance organization without any useful cases surfaced, and the team finished more skeptical than when they started.
That's what happens when no one owns the outcome.
S&P Global found that 42% of companies abandoned most of their AI initiatives in 2025, up sharply from 17% the year before, with nearly half of all proofs of concept scrapped before reaching production. Most weren't killed by bad technology. They were killed by the absence of a business owner with skin in the game.
The Business Readiness Structure That Changes The Outcome
We recommend assembling a co-led team with team participation from day one: CXOs, directors, and managers from both the business and technology sides, working together to identify viable opportunities and agree on success criteria before a single line of code is written. We do this with our clients during a phase called ‘Business Outcome Readiness’.
That structure produces something no technology project alone can, which is an business executive sponsor committed to the value, and a business owner accountable for the outcome.
Also, users need to be in on it, or they won't be on board with it. The best-designed AI initiative delivers nothing if employees don't use it. Engaging users from the earliest stages makes the change feel incremental, rather than imposed. Convert them into participants, not passengers. This way we unlock and leverage their ‘accumulated intelligence’ to drive the design and engineering of better business performance - this beats the ‘adoption trap’.
Work down from the desired business outcome. Work up from the technology foundation. Meet in the middle with a co-led team that owns both.
That's Business Performance Engineering. We embed with finance and operating leaders to co-lead AI initiatives from the business outcome down not the technology up.
We’ve seen that your CIO isn't the problem. Giving them sole ownership of business performance is. Successful technology modernization programs start with Business Outcome Readiness and co-owning the P&L impact.
