AI governance is the framework of policies, controls, and oversight that ensures AI systems are used safely, transparently, and in compliance with regulations and business standards.
How it works
Governance spans the AI lifecycle: defining who may build and deploy models, documenting data lineage and model decisions, enforcing access and approval controls, testing for bias and security, and logging what AI systems do so their behaviour can be audited and explained.
Why it matters for enterprise AI
As AI moves from experiments to decisions that affect customers and finances, governance is what makes it safe to scale. It manages regulatory, security, and reputational risk — and, done well, it accelerates adoption by giving leadership the confidence to put AI into production.
