AI Governance & Provenance

By Juan Beltrán, Industrial B2B AI Transformation Executive.

Controls, accountability, and evidence for AI in production.

Good AI governance is not a policy library. It is the ability to reconstruct what the system did, which evidence it used, who exercised judgment, and what happened after release.

The useful control sits as close as possible to the consequential decision. Central teams set the standard. Workflow owners produce the evidence.

Key takeaways

A disclosure label is not an audit trail.
Human review needs a named standard and retained evidence.
Governance scales when controls are embedded in the workflow.