AIGA — Artificial Intelligence Governance Assessment
Do Your AI Rules Exist — And Do They Hold Under Pressure?
AI governance is not a compliance checkbox. It is the foundation that determines whether your organization can deploy AI responsibly, recover when something goes wrong, and demonstrate accountability to regulators, clients, and boards.
Most organizations that have deployed AI have not formally governed it. Many that believe they have governance discover — when it is tested — that what is written does not match what is happening. A policy that contradicts operational reality is worse than no policy. It creates false confidence and documents the organization failing to follow its own rules.
The AIGA assesses whether AI governance exists, whether it holds under pressure, and — for organizations that have not yet deployed AI — builds the governance framework before deployment begins.
AIGA Evaluate
For Organizations That Have Deployed AI
Does your existing governance actually govern?
AIGA Evaluate is a structured assessment of whether the governance your organization believes it has matches operational reality. It examines eight dimensions of AI governance through document review, structured interviews, and evidence-gated scoring. Every finding is traceable to a sighted artifact or recorded statement — not assumption, not self-reporting.
AIGA Author
For Organizations That Have Not Yet Deployed AI
Build the rules before you need them.
AIGA Author is not an assessment. It is a co-authorship engagement. Axiom Strategy works with your leadership team — in structured workshops — to build an AI governance policy from the ground up, before deployment begins. Every rule in the policy is a decision made by your leadership, facilitated and drafted by Axiom. Nothing enters the policy that leadership did not decide. Nothing is left vague enough to be unenforceable. The same eight dimensions become the eight decision sections of the workshop.
Eight Dimensions Assessed
01Inventory & Visibility — Does the organization know every AI system touching its business?
02Data Boundaries — Is it defined what data AI systems can see, and what can never leave the organization?
03Risk Classification — Does the organization tier its AI use cases by consequence, and govern high-risk uses more strictly?
04Accountability & Human Oversight — When an AI output causes harm, is it already clear — in writing — who owns it?
05Vendor & Third-Party AI — Are external AI providers governed by contract, not trust?
06Monitoring & Incident Response — Will the organization know when its AI fails — and does it know what to do in the first 24 hours?
07Training & Acceptable Use — Does every employee know, in plain language, what they may and may not do with AI?
08Regulatory & Legal Alignment — Is the governance framework mapped to the actual laws and regulators that govern this organization?