Insights · Article · Data & AI · Feb 28, 2026
Balancing catalog discipline with experiment velocity: patterns from regulated industries.
Governance programs fail when they are framed as paperwork instead of acceleration. ML teams need lineage when a model misbehaves in production, not a monthly committee to bless notebook copies.
We recommend pairing lightweight data contracts at domain boundaries with automated checks in CI. The catalog becomes the system of record; the pipeline gates enforce what humans used to negotiate in email threads.
Regulators care about explainability and access control more than the color of your RACI chart. Show them query logs, approval workflows, and retention policies that survived a real incident drill.
We facilitate small-group sessions for customers and prospects without requiring a slide deck, focused on your stack, constraints, and the decisions you need to make next.
