Integrating an AI Agent into a Legacy Ruby on Rails Application with Sensitive Data

Summary

A Director of Engineering at Mon Ami shares their experience integrating an AI agent into a 7-year-old Ruby on Rails monolith that handles sensitive aging and disability case worker data. The article details how they implemented the AI agent using RubyLLM, maintained existing Pundit authorization policies, and leveraged Algolia search without creating parallel systems or compromising security constraints. The solution focuses on improving client record lookup performance while preserving the multi-tenant architecture's data sensitivity requirements.