Code-first AI registration: what it means for AI governance teams

TL;DR: More than 70% of organisations now use AI in at least one business function, according to McKinsey, and code-first AI registration lets developers register models, versions, and use cases directly from development workflows, reducing manual documentation gaps and improving traceability, per Collibra research. Governance that starts after deployment is too late for fast-moving AI estates.

NHIMG editorial — based on content published by Collibra: Automatically register AI models from code workflows

By the numbers:

• more than 70% of organizations now use AI in at least one business function

Questions worth separating out

Q: How should teams prevent AI models from bypassing governance during development?

A: Teams should make registration part of the normal development workflow, not a manual post-deployment task.

Q: When does AI model governance usually fail in practice?

A: It usually fails when documentation begins after deployment.

Q: How can organisations know whether AI model registration is actually working?

A: Look for complete traceability from development repository to governance record.

Practitioner guidance

• Make registration a development-time gate Require AI models to be registered before merge or release, not after deployment.
• Standardise the minimum model metadata set Define the fields that every AI asset must capture: model name, version, source location, owner, and business use case.
• Block promotion of unregistered AI assets Add a control that prevents models from moving into production environments until governance registration is complete.

What's in the full article

Collibra's full post covers the operational detail this post intentionally leaves for the source:

• Step-by-step CLI registration flow for scanning a local project and onboarding AI assets
• The specific metadata fields captured during model registration and how they are mapped in the governance platform
• How developers confirm model version and use case association during the registration process
• Examples of how code-first registration is presented to data science and AI governance stakeholders

👉 Read Collibra's post on automatically registering AI models from code workflows →

Code-first AI registration: what it means for AI governance teams?

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