AI is rapidly becoming the interface to software. Agents can query APIs, generate dashboards, explain trends, and execute workflows, often without ever touching your UI. For SaaS companies, that creates both existential churn risk and unprecedented opportunity. If AI becomes the “front door” to your product, who owns the customer relationship—and the renewal? In this session, we’ll explore how to prevent AI disintermediation by transforming your platform into the governed intelligence layer. We’ll examine how embedded analytics, agentic workflows, conversational UX, and secure MCP integrations can turn your SaaS from a feature set into durable AI infrastructure. You’ll walk away with: A practical roadmap from AI augmentation to agentic workflows Strategies to control AI access via MCP while preserving governance and multi-tenant isolation Monetization models that turn AI capabilities into expansion revenue AI will not replace SaaS. But AI-native SaaS will replace non-AI SaaS.