After three years of enterprise experimentation the verdict is in: more than 80% of AI projects fail — roughly twice the rate of conventional IT projects — and the cause is almost never the model. It is that organisations treat AI as a technology to be installed rather than a transformation of how they work.
Drawing on independent research from RAND, MIT, Gartner, McKinsey and BCG, this whitepaper explains why initiatives stall, what the successful minority do differently, and how to cross the divide — by reorganising the workforce, redefining the processes, and bringing governed Digital Employees into the operating model.
What you'll learn
- Why 80%+ of AI projects fail — and why the technology is rarely the reason
- The three failure modes: the pilot trap, automating the mess, and buying tools instead of capability
- The People-Process-Platform (10-20-70) equation and what it means for your AI budget
- How to reorganise the workforce, redesign processes, and deploy Digital Employees safely
- A readiness checklist to tell whether you are transforming — or just installing
12-page report · PDF · By PPIC Technologies
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