Building an AI agent inside a 7-year old Rails application

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A large Rails monolith serving social workers demands strict access control and correctness over experimentation. Integrating an AI agent inside the existing architecture preserves established authorization, auditing, and domain rules. Placing the agent within current code paths allows reuse of existing validations, logging, and deployment practices while minimizing new attack surface. The approach favors conservative, incremental integration: constrain agent capabilities, route requests through existing permission checks, and surface outputs as auditable operations. This strategy reduces risk, maintains compliance, and enables practical adoption of AI functionality without fragmenting the system or weakening governance.

Read at Rubyflow