Enterprise AI Governance
Trust is not a feeling — it's a property you can evidence. We help organisations build AI governance that a regulator, customer, or auditor can examine from the outside and reach their own conclusion, from board-level accountability down to the technical control.
The Problem We Solve
If you have 500 employees, you probably have several hundred unsanctioned AI tools running right now — and the largest exposure isn't data leakage, it's unaccountable decision-making. AI governance is a fiduciary duty, not an IT issue: under frameworks like ISO/IEC 42001, accountability for AI risk sits explicitly with top management. We build the inventory, the risk and impact assessments, and the evidence trail that turns "we're being careful" into something you can actually defend. Read why AI governance is a board-level fiduciary duty, how to plan an inventory for shadow AI, and what a defensible AI risk and impact assessment covers.
What We Cover
The Difference
Field Notes
Questions & Answers
AI governance is the set of policies, roles, controls and oversight that guide how an organisation develops, buys and uses AI across its lifecycle, so risk, accountability and compliance are managed deliberately.
Compliance means meeting specific rules. Governance is the ongoing operating model that makes compliance, risk management and responsible use repeatable.
India has not enacted a standalone AI statute. MeitY released India AI Governance Guidelines in November 2025, and existing laws such as the DPDP Act apply to AI that uses personal data. [TODO: I will confirm wording before publishing.]
With an AI inventory and a readiness assessment. We offer a complimentary 45-minute AI Governance Readiness Assessment.
Book a complimentary 45-minute AI Governance Readiness Assessment
Or write to contact@gnaan.ai