Most AI pilots do not fail because of AI.
They fail because AI works alongside the process, rather than within it.
MIT estimates that around 95% of GenAI pilots generate no sustainable business value. One main reason: AI is not integrated into actual workflows.
An example from mechanical engineering, anonymised.
Special-purpose machinery. High product variety. Quotation process: six weeks.
The goal was not to replace sales.
It was to remove three recurring bottlenecks:
→ Structure the enquiry
→ Prepare feasibility and cost assessments
→ Prepare the quotation logic
Three AI assistants with clearly defined roles: within the process rather than instead of it.
People remain responsible wherever risk and the customer relationship are involved.
Result: 30–50% shorter lead times.
No magic. Clarification loops and implicit coordination disappear.
The uncomfortable lesson:
AI’s most important knowledge base is not documents. It is well-designed processes.
Where would your biggest opportunity lie?
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