Existing SaaS providers must determine how and where agents best fit into their offerings. Getting there requires organizations to transform existing IP and functionality into agent-powered experiences. This breakout will dig into the details of this transformation, examining the patterns, strategies, and techniques that can be used to introduce agents into an existing multi-tenant system. Well focus heavily on identifying the target agents, digging into how/where theyre built and introduced, how theyre integrated, and so on. Well also dig into how multi-tenancy lands in new agents, integrating with MCP servers, using RAG, applying tenant isolation, supporting onboarding, and on on.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Existing multi-tenant SaaS platforms bolt on agents, requiring new thinking on tenant isolation, MCP server scoping, RAG, onboarding, and pricing.
Why it matters
If a competitor ships agents into your category before you do, you've ceded the AI-native narrative. Renewals get harder.
The hard parts
Tenant isolation in agent state — memory, vectors, available tools — is genuinely novel. Your existing isolation model was designed for HTTP requests, not stateful agent conversations.
Playbook moves
(1) Build tenant-scoped MCP servers — never share an MCP across tenants. (2) Audit every tool call for tenant boundary correctness. (3) Re-think onboarding: agents need access to tenant data, which means new permission flows.
The surprise
The right pricing model for agentic SaaS isn't seats or usage — it's *outcome-based* (per resolved ticket, per successful workflow, per accurate document processed). Almost no SaaS has the billing infra to do this. Start the billing rebuild now, not after launch. Your finance team will become a bottleneck if you don't.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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