Internal AI Assistant: 45% Less Time Searching for Answers
Employees at a 2,000-person company spent over 2 hours per day searching Confluence, Slack, and SharePoint for answers. We built a conversational AI assistant that searches across all tools and gives direct answers with source links.
The Challenge
What was getting in the way
- 01
Information was scattered across Confluence (8,000 pages), Slack (300+ channels), SharePoint, and Google Drive. Nobody knew where to look first
- 02
New hires took 3+ months to become productive because institutional knowledge wasn't documented in any single place
- 03
The internal wiki had a search function, but it returned 200+ results for simple queries. People gave up and just asked on Slack, creating more noise
The Solution
How we solved it
We built a conversational search assistant that indexes content from Confluence, Slack, SharePoint, and Google Drive. The indexing pipeline runs incrementally every 30 minutes so answers stay current. When someone asks a question, the system retrieves relevant chunks from the vector store, generates a direct answer using Claude, and includes links to the source documents. We added access control so people only see content they're authorized to view. The assistant is available in Slack (as a bot), in the browser (as a web app), and via a Chrome extension. We launched with a pilot group of 200 people, hit 85% adoption, and rolled out company-wide in 4 weeks.
Technologies
What We Built
A look inside the project
The Process
Step-by-step delivery
Content Ingestion
Index Confluence, Slack, SharePoint, and Drive incrementally
Access Control
Map document permissions so users only see authorized content
RAG + Answer Gen
Retrieve relevant chunks, generate answers with source links
Multi-Channel Deploy
Ship as Slack bot, web app, and Chrome extension
Adoption & Feedback
Pilot with 200 users, iterate on quality, roll out company-wide
The Results
The numbers
Less Time Searching for Information
User Adoption in First Month
Faster New Hire Onboarding