Yes. AI can build a multi-tenant SaaS, but tenant isolation must be designed and tested explicitly. A generated application is not safe merely because every table includes a tenant ID.
Choose the tenancy model first: shared database and schema, separate schemas, or separate databases. Define how users join organizations, how roles work, and where tenant context is established. Enforce authorization on the server and database layer rather than relying on hidden UI elements. Background jobs, caches, file storage, logs, analytics, and support tools must also preserve tenant boundaries.
Ask the agent to create cross-tenant negative tests, not only successful user flows. Review billing ownership, invitations, account deletion, export, backup, and migration behavior. Use staged deployment and monitoring for suspicious cross-organization access.
Verdent's Plan Mode can surface tenancy and permission decisions before coding. Parallel workers can build UI, billing, and test components after shared contracts are fixed, while Reviewer adds another inspection pass. High-risk authorization and data migration should receive independent expert review. AI can implement the architecture quickly; the product owner remains responsible for proving that one customer's actions cannot expose or alter another customer's data.
