AI needs data to be useful. Here's how to connect AI to your existing databases and systems.
Integration Methods
| Method | How It Works | Best For |
|---|---|---|
| Direct API | AI calls database directly | Real-time, low latency |
| Middleware | Zapier/Make as connector | No-code, flexibility |
| Sync/Copy | Data copied to AI-accessible store | Safety, read-heavy |
| Webhook | Database pushes events to AI | Triggers, notifications |
What AI Can Do With Database Access
- Read: Look up customer info, product data, policies
- Search: Find relevant records based on context
- Create: Add new records (tickets, notes, contacts)
- Update: Modify existing records (with caution)
- Analyze: Query for patterns, summaries
Common Database Integrations
| System | Integration | Complexity |
|---|---|---|
| Salesforce | Native API, middleware | Easy |
| HubSpot | Native API, middleware | Easy |
| kintone | REST API | Easy |
| PostgreSQL | Direct connection, REST API | Medium |
| Google Sheets | Google API, middleware | Easy |
| Custom systems | Build API or sync | Varies |
Security Best Practices
When AI accesses your database:
- Read-only first: Start with AI only reading data
- Limited permissions: AI only accesses what it needs
- Audit logging: Track every query AI makes
- Validation layer: Review AI writes before commit
- Rate limiting: Prevent runaway queries
- Encrypted connections: Always use HTTPS/TLS
Read vs Write Access
Read access (lower risk):
- AI looks up customer history
- AI checks product availability
- AI retrieves policy information
Write access (needs caution):
- AI creates support tickets
- AI updates contact information
- AI adds notes to accounts
Architecture Options
Three common patterns:
- Direct: AI → Database API → Results
- Middleware: AI → Zapier/Make → Database → Results
- Sync: Database → Scheduled sync → Vector store → AI
Japanese Systems
Common in Japan:
- kintone: REST API works well with AI
- Smaregi: POS data via API
- Money Forward: Accounting data
- LINE WORKS: Communication data
Implementation Timeline
- Simple API integration: 2-5 days
- Middleware setup: 1-2 weeks
- Custom API development: 2-4 weeks
- Full data sync architecture: 3-6 weeks
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