AI governance
The framework of policies, controls, and review processes that ensure AI systems are deployed safely, ethically, and in compliance with regulation — covers risk management, audit trails, and stakeholder accountability.
AI governance covers the operational and policy side of deploying AI responsibly. The components: documented use cases (what the AI does and does not do), risk assessments (what could go wrong), human accountability (who is responsible when it does), audit logs (what the AI actually did), and compliance reviews (does this meet our regulatory obligations).
In 2026, AI governance is increasingly a board-level concern at enterprises. The EU AI Act came into effect in 2024–2025. NIST AI RMF provides a US framework. ISO 42001 is the emerging international standard. NYC Local Law 144 sets a precedent for state-level AEDT regulation.
For agent builders deploying at enterprise scale, governance is non-negotiable. Solo founders and small teams can defer until they have customers in regulated industries; past that, it becomes a sales-gating issue.
Frequently asked
Do I need AI governance for my startup?+
Not on day one. Add governance when you (a) sell to enterprises requiring it, (b) operate in regulated industries (health, finance, legal, education), or (c) deploy in the EU (AI Act applies).
What is the minimum viable AI governance?+
Documented use cases + risk assessment + human accountability + audit logging. Beyond that, scope to your regulatory obligations and customer requirements.