Why 88% of AI pilots never make it to production
The New Stack Venus Kohli
A joint IDC and Lenovo study found that 88% of AI proof-of-concept projects fail to reach production due to unclear objectives, unprepared data, and limited in-house agentic AI expertise. The study highlights the build-vs.-run gap, where agent designers and deployers often cannot run the agents inside business processes. As a result, teams are urged to add production readiness practices like logging and timeouts, enforce least-privilege tool access, improve monitoring and runbooks, and validate agents again after environment changes.
Why it matters
A joint IDC and Lenovo study reports that 88% of AI proof-of-concept (POC) projects fail to reach production because of unclear The post Why 88% of AI pilots never make it to production appeared first on The New Stack.
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