Industrial & Manufacturing

What an AI Prototype Revealed About Enterprise Knowledge

Industrial Manufacturer

Industrial & Manufacturing
What an AI Prototype Revealed About Enterprise Knowledge

Summary

Internal knowledge existed but couldn't be retrieved reliably. Broad AI experimentation without guardrails risked exposing sensitive content. A focused prototype tested value and security at the same time.

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.

Execution

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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