Your AI Pilot Was Designed to Succeed. That Is Exactly Why It Will Not Scale | Part 3

Helping Clients Turn AI Investments Into AI Returns | Closing the Gap Between a Promising Proof of Concept and Production Value

The numbers on enterprise AI projects moving to scale are not encouraging. According to S&P Global Market Intelligence, the average organization scrapped 46% of its AI proofs-of concept before they ever reached production. The share of companies abandoning most of their AI initiatives jumped from 17% to 42% in a single year. 

The popular explanation is that the technology was not ready. However, actual evidence reveals that most failed pilots did exactly what they were designed to do: succeed under pilot conditions, including curated data, enthusiastic volunteers, no security review, no support model, no real permissions. The pilot proved the demo; however, demo conditions are not production, and most pilots are never tested in deployment conditions.