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AI solutionCase study · Enterprise

Enterprise Knowledge Assistant: A secure RAG assistant over company documents and tools

A private AI assistant that answers policy, product and process questions from the company's documents with citations, respecting every user's access rights.

Enterprise Knowledge Assistant interface overview
Industry
Enterprise
Solution
AI & agentic solution
Platforms
RAG assistant · Slack & web · SSO
Services
Generative AI & LLMs · AI Agents

Enterprise Knowledge Assistant in brief

The problem

Knowledge was scattered across wikis, drives, tickets and chat.

The solution

We deployed a retrieval-augmented assistant in Slack and on the web that searches approved sources, answers with citations and only uses documents each user is allowed to see.

The outcome

Instant, trustworthy answers for every team. Faster onboarding for new hires.

01 · The challenge

What was holding the business back

Knowledge was scattered across wikis, drives, tickets and chat. New hires took months to ramp up and experts were interrupted constantly with the same questions.

  • Information spread across many tools
  • Slow onboarding
  • Experts answering the same questions repeatedly

02 · Our solution

How we solved it

We deployed a retrieval-augmented assistant in Slack and on the web that searches approved sources, answers with citations and only uses documents each user is allowed to see.

An evaluation suite measures answer accuracy before every release, and feedback buttons continuously improve retrieval.

03 · What we built

Key capabilities

01

Cited answers

Every answer links to the exact source passages.

02

Permission-aware search

Respects existing document access controls through SSO.

03

Slack & web

Available where people already work.

04

Quality evaluations

Automated accuracy tests and feedback loops.

04 · The outcome

What changed for the client

  • Instant, trustworthy answers for every team
  • Faster onboarding for new hires
  • Fewer interruptions for subject-matter experts

Technology we use

  • Claude
  • LlamaIndex
  • pgvector
  • Next.js
  • Slack API
  • Okta

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