Enlil Unveils Governed AI Architecture for Medical Device Submissions

Enlil, Inc. said in a press release that it has introduced a four layer governed AI architecture for its development traceability platform, aimed at medical device and life sciences organizations.

The company said the architecture is designed to connect AI responses and agent actions to controlled records, user permissions, and human approval.

Enlil said the system uses a unified record layer to connect product data that is often stored across quality, requirements, manufacturing, and post market systems. The company said this is intended to support traceable evidence during audits, submissions, and reviews.

The announcement references the U.S. Food and Drug Administration (FDA) and its Elsa generative AI tool, which supports agency staff in review and compliance work. Enlil said device makers need evidence records that can be checked when AI is used during regulatory review.