What is AI governance?
AI governance is the set of rules, controls and responsibilities that ensure an organization's AI systems are traceable, supervised and auditable.
It is not just documentation: it is the framework that defines who can use what, with which data, with what human oversight and with what record of decisions. It rests on AI traceability and on human-in-the-loop designs, and it is part of a broader approach to responsible AI.
Why it matters
As AI spreads across an organization, without governance each team improvises its own uses and criteria. A common framework keeps the systems under control, auditable and aligned with internal rules —something critical in regulated processes, where you have to be able to explain every result.
How we approach it at Codara
Governance is not a later add-on: we build it in from the design. We address it through our working method, with human oversight, traceability and clear responsibilities, and we hand control over to your team so they can run the systems with their own judgment.
Preguntas frecuentes
Why does it matter in a large organization?
When several teams use AI, governance stops each one from experimenting on its own without control. It brings common rules, clear responsibilities and an auditable record, essential in sensitive or regulated processes.
What does a governance framework include?
Usage rules, access and data control, human oversight at the critical points, traceability of decisions and defined responsibilities over who supervises and answers for each system.