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CorporateTechnology Company

Company Private AI Assistant

Deployed a private AI assistant trained on company knowledge base, achieving 75% faster information retrieval and 90% employee adoption.

75% faster
Info Retrieval
90%
Employee Adoption
-60%
Onboarding Time
100% private
Data Privacy
V

The Challenge

A technology company with 200+ employees was struggling with knowledge management. Important information was scattered across Google Drive, Notion, Confluence, and email threads. New employees took weeks to find basic procedures, and even experienced staff spent hours searching for internal documents.

Our Solution

We deployed a self-hosted AI assistant using Ollama and Open WebUI, trained on the entire company knowledge base using a RAG (Retrieval-Augmented Generation) pipeline. The assistant understands natural language questions and provides accurate answers with source references. It runs entirely on the company infrastructure, ensuring complete data privacy.

Audited all knowledge sources across the organization
Set up self-hosted Ollama instance with appropriate LLM models
Built RAG pipeline to ingest and index all company documents
Deployed Open WebUI for user-friendly chat interface
Configured role-based access control for sensitive information
Created automated document sync to keep the knowledge base current
Conducted company-wide training sessions and gathered feedback for optimization

The Results

75% faster information retrieval
90% employee adoption within the first month, with average query resolution under 10 seconds

Tech Stack Used

Ollama
Open WebUI
LangChain
RAG Pipeline
Docker
PostgreSQL

Our new hires now get up to speed in days instead of weeks. The AI assistant knows our company better than most employees, and everything stays private on our own servers.

C
CTO
Technology Company

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