Data lineage you can defend, part 1: AI proposes, people decide
Ask a bank's risk function where a figure in its regulatory return came from, and the honest answer is often "give us a few weeks."
- Why it matters
- The knowledge is scattered across ETL tools, half-populated catalogs, stored procedures, mainframe batch and the memory of whoever built the pipeline, and AI agents make that gap more expensive. No single tool solves it; this sets out a design where AI proposes lineage, and evidence and people decide.
- What you'll get
- Why lineage is still manual, and the design principle that makes AI-generated lineage stand up to an auditor.
- Who should read it
- Data platform & governance leads, CDOs, risk and compliance teams, data engineers
This page is a short guide. The full article is published on Builder Center.