Industrial & Manufacturing

What an AI Prototype Revealed About Enterprise Knowledge

Industrial Manufacturer

Summary

Knowledge existed, but retrieval was unreliable. The decision was experiment broadly or validate safely and narrowly.

Moment

Employees could not find answers reliably without risk of exposing sensitive content or spreading incorrect guidance.

Tension

Broad AI experimentation without guardrails, or a focused prototype that tested value, security, and feasibility.

Risk

Moving too quickly could expose sensitive information or produce confident wrong answers. Moving too slowly would delay learning and keep search inefficient.

Approach

We built a proof of concept that unified sources and emphasized grounded responses, traceability, and access controls appropriate for internal content.

Outcome

Leadership gained a working prototype and clear constraints for production. The organization reduced time spent searching and clarified the architecture needed to expand safely.

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