AI implementations fail for predictable reasons.
Not technology problems. Design problems.
We’ve identified five patterns that explain why most projects stall. Each one is an organisational design failure, not a technology limitation.
The common thread: firms tried to buy their way to automation without building the systematic workflows that make automation possible.
MIT research shows 95% of GenAI pilots fail — not from technical limitations, but because organisations avoid the operational friction required to make them work.
Succeeding with AI doesn’t start with better tools. Fix your operations first.
Read our full analysis in our AI Readiness in Bermuda Life Reinsurance report.
