Use Case

Knowledge Assistants

See how we approach this challenge — from problem definition through to measurable outcome.

The Problem

Employees struggle to find accurate, up-to-date information when they need it. Knowledge is scattered across SharePoint, Confluence, email threads, and people's heads — making every search slow and uncertain, and every onboarding expensive.

Our Solution

We build internal knowledge assistants powered by retrieval-augmented generation (RAG) that connect to your existing knowledge sources, understand natural language queries, and surface accurate, cited answers in seconds. No re-platforming required.

The Outcome

Measurably faster information retrieval, reduced time spent on internal queries, improved onboarding speed for new team members, and higher confidence in information accuracy.

How We Implement It

1

Audit existing knowledge sources and identify priority use cases

2

Design knowledge ingestion pipeline and update frequency

3

Build RAG system with appropriate chunking and retrieval strategy

4

Connect knowledge assistant to team tools (Slack, Teams, intranet)

5

Configure access controls per knowledge source

6

Launch with feedback loop to improve answer quality over time

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