Chatting with Your Documents for Business Efficiency
How to build AI systems that let you (and your team) query your business documents naturally.
How much time does your team spend looking for information? Searching through folders, digging through old emails, asking colleagues "do you remember where that document is?"
The Problem
Every business accumulates documents: SOPs, contracts, policies, training materials, client specifications, meeting notes. They live in Google Drive, SharePoint, local folders, email attachments, and that one person's desktop who's been there for 15 years.
When someone needs information, they either search (and hope the right result comes up) or ask someone who might know. Both approaches are slow and unreliable.
The Solution: Document Chat
Build an AI system that ingests your documents and lets anyone on your team ask questions in plain English: - "What's our return policy for custom orders?" - "What did we agree on pricing with Client X?" - "What's the process for onboarding a new employee?"
The AI searches your knowledge base, finds the relevant sections, and gives you the answer — with citations so you can verify.
How It Works
1. **Ingest**: Your documents get processed and stored in a vector database 2. **Search**: When someone asks a question, the system finds the most relevant document chunks 3. **Generate**: The AI reads those chunks and generates a clear answer 4. **Cite**: The response includes links to the source documents
This is RAG (Retrieval-Augmented Generation) applied to your own business data.
Why It Matters
Time saved is money saved. If 10 employees each save 20 minutes per day searching for information, that's over 33 hours per week reclaimed. At average labor costs, that's thousands per month.
But the bigger win is consistency. When the AI answers from your official documents, everyone gets the same answer. No more "well, I was told something different" situations.