How to Build an AI-Powered Knowledge Base for Your Business

Every business has institutional knowledge trapped in emails, documents, and people heads. AI fixes that.

The Architecture

1. Collect: Gather all documents, emails, meeting notes, SOPs
2. Index: Feed everything into a vector database (Pinecone, ChromaDB)
3. Query: Natural language search via Claude API
4. Answer: AI synthesizes answers from multiple sources with citations

Use Cases

• New employee asks "How do we handle refunds?" AI finds the SOP, the relevant email thread, and the exception policy.
• Sales team asks "What did we quote Company X last year?" AI finds the proposal and contract.
• CEO asks "What is our policy on remote work?" AI pulls from the handbook, recent emails, and board minutes.

The Impact

• New employee onboarding: 2 weeks to 3 days
• Question resolution: hours to seconds
• Knowledge loss when employees leave: eliminated

Cost

Claude API: $20/month
Vector DB: Free tier (ChromaDB)
Setup: 1-2 days

Implementation guide: wedgemethod.gumroad.com/l/ai-automation-playbook-smb