AI Knowledge Assistant for Internal Teams

How an enterprise gave employees one place to ask questions of internal docs and policies

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Challenge

A large organization had critical knowledge spread across wikis, SharePoint, policy docs, and legacy systems. New hires and even tenured staff struggled to find the right answer quickly. Support and operations were repeating the same “where do I find…?” conversations. Leadership wanted a single entry point where employees could ask questions in natural language and get answers grounded in approved internal content.

We were asked to design an AI knowledge assistant: ingest and index internal sources, answer questions with citations, and respect access and confidentiality so only authorized users saw relevant content.

Approach

We built an AI assistant on top of a retrieval-augmented pipeline: index internal docs and policies, match user questions to relevant chunks, and generate answers that cited sources. We applied access controls so results were filtered by role and permissions. We trained the assistant on the client’s terminology and use cases and set guardrails so it wouldn’t answer from external or out-of-scope content.

Solution

We delivered a secure knowledge assistant.

We connected the assistant to the client’s key repositories (wiki, SharePoint, policy library), built an indexing and refresh pipeline, and implemented retrieval and answer generation with source citations. We enforced access control and audit logging. We piloted with one business unit, refined prompts and sources, then rolled out with clear ownership for content updates and feedback. Timeline: 11 weeks including pilot.

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Outcome

Employees could find answers without hunting:

Metrics / Results

−30% time spent searching for policy and process answers in pilot group

Citations so users could verify and go to the source

Access-controlled so only authorized content was returned

Content owners identified for ongoing updates and quality

Fin.

Knowledge is only useful when people can find it. They could ask—and get answers with proof.

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