AI agents are moving from demos to product features. SaaS teams are no longer asking whether agents matter, they’re asking what infrastructure, controls, and architecture are required to support them safely in production. That’s the real shift. Making a SaaS product “AI-agent ready” is not about bolting a chatbot onto the UI. It means designing your product so an agent can understand context, take bounded actions, access the right systems, and operate safely across customers and environments. For B2B SaaS companies, the opportunity is significant. An AI-agent-ready product can unlock faster workflows, differentiated user experiences, higher-value automation, and new monetization paths. But the same capabilities also introduce new risk: over-permissioned actions, tenant leakage, poor orchestration, brittle connectors, and governance gaps. This guide…