AI-Driven Automation for FDA Regulatory Correspondence

This technical report outlines the implementation of AI-based automation in the management of FDA regulatory correspondence. It identifies key stakeholders, including Regulatory Affairs leaders and IT leaders, who are responsible for submission timelines and compliance. The report discusses the challenges faced in regulatory workflows, particularly the need for reliable and actionable documents amidst the chaos of inbound FDA communications. It introduces the concept of an Accuracy & Trust Layer, which ensures that documents are not only available but also reliable and usable. The report details the architecture of this system, which includes an Agentic Intake Shield and an Inspection Shield, designed to enhance document integrity and compliance defensibility. Additionally, it presents a maturity model for assessing regulatory correspondence readiness, highlighting the importance of structured data, version control, and semantic accuracy in regulatory submissions. The report emphasizes the need for automated processes to improve efficiency and reduce risks associated with manual handling of regulatory documents.