The Autonomous Pipeline: Using Agentic AI to Automate FCRA Compliance from API Spec to Production

Modernizing legacy data systems often fails at the "Human Bottleneck": months spent translating regulatory rules into API specs and production Spark code. At Capital One, we are breaking this cycle by moving mission-critical privacy ecosystems from cloud services to an Agentic Workflow. This session deep-dives into a multi-agent system that automates the engineering lifecycle for FCRA-regulated pipelines—generating specs, writing code, and self-correcting via compliance guardrails. Attendees will learn: Agentic API Design: Using agents to ingest "Filter" requirements and generate standardized OpenAPI/Swagger specs. The Automated Auditor: A "Validator Agent" that uses metadata to verify code against data integrity rules, ensuring an immutable audit trail. Model-Driven Code Gen: Leveraging agents to consume specs and generate optimized code to kick off our Databricks Compute