AI Agents Are Eating SaaS — What Founders Need to Know

AI Agents Are Eating SaaS

The rules are changing. SaaS products built on passive AI features — chat widgets, copilots, suggestions — are being outcompeted by products built on autonomous AI agents.

What Is an AI Agent?

• Unlike a chatbot that responds to inputs, an AI agent:
• Sets its own goals within defined bounds
• Takes multi-step actions autonomously
• Uses tools (web search, APIs, databases)
• Learns and adapts from outcomes

Why This Changes Everything for SaaS

Traditional SaaS: User does work → Software assists Agentic SaaS: User sets goals → Agent executes → User reviews

This is a fundamental shift in user value proposition.

Real Examples Already Shipping

• **Cursor.ai**: AI agent that writes, edits, and debugs code autonomously
• **Lindy.ai**: Builds AI workflows that handle email, scheduling, data processing
• **Relevance AI**: No-code platform for deploying enterprise AI agents

What to Build Next

• **Identify repetitive user workflows** in your product
• **Map the decision points** in those workflows
• **Design agent guardrails** that keep humans in control
• **Start with one autonomous loop** — don't boil the ocean

The SaaS companies that win the next decade will be the ones that make their users 10x more productive, not 1.1x.

Want to add AI agents to your product? [Talk to our AI team](/services/ai-solutions).