AI is no longer a technology initiative. It is now a direct test of executive leadership.
Moving AI from pilots to production is harder than most executives expected—and the issue isn’t the technology. We did research to find the real barriers are the systems, data, and workflows the enterprise relies on.
If your pilots are stuck, you’re not alone. Nearly every enterprise is hitting the same wall. But your teams aren’t waiting on better models, they’re waiting on your direction.
The organizations pulling ahead aren’t doing so because they have better algorithms. They’re winning because their leaders demanded operational discipline: clean data, enforceable governance, and AI embedded where results can be measured. That discipline is the difference—and it’s the decision that will determine which leaders will win the AI race and which ones will get left behind.
95% |
of AI projects fail to deliver measurable ROI MIT Sloan (2025) |
80% |
of AI projects never reach production Gartner 2025 Hype Cycle (2025) |
74% |
of CEOs believe failing to deliver AI results puts their jobs at risk Dataiku / Harris Poll |
64% |
of executives report “AI fatigue” within their organization Deloitte 2025 Executive Pulse |
58% |
of employees say their company “talks more about AI than it delivers” PwC 2025 |
Our competitors seem to be getting real results from AI. Why can’t we?
Our teams are stuck in perpetual experimentation and I can’t tie that work to results.
AI isn’t broken. It’s our systems and processes. We are building AI on sand.