How do I integrate AI into my SaaS product?

AI integration into SaaS follows four patterns, from simplest to most complex: Pattern 1 — AI-assisted features (1-2 weeks): add AI to existing features. Auto-complete in search, smart suggestions in forms, AI-generated summaries of data. Uses API calls to OpenAI/Anthropic. Low risk, high user value. Pattern 2 — AI-powered features (2-6 weeks): create new features enabled by AI. Document Q&A, automated report generation, intelligent categorization, natural language data queries. Requires RAG or fine-tuning. Pattern 3 — AI co-pilot (4-12 weeks): an embedded assistant that helps users accomplish tasks. Understands your product context, can take actions on behalf of users, maintains conversation history. Requires deeper integration with your application logic. Pattern 4 — AI-native architecture (3-6 months): rebuild core product flows around AI. The AI is the primary interface, not an add-on. Think Notion AI or GitHub Copilot. Integration checklist: abstract the LLM provider (don't hard-code OpenAI), implement streaming for responsive UX, add usage tracking and cost monitoring, handle rate limits gracefully, cache frequent queries, and build evaluation into your CI/CD pipeline. Start with Pattern 1. Each successful pattern builds organizational confidence and technical infrastructure for the next.