Governance maturity assessment
A structured self-assessment to baseline your data and AI governance capabilities and identify gaps.
Practical tools to help organizations navigate AI uncertainty, build anticipation into governance, scale AI responsibly and strengthen business model resilience.
Coming soon Not yet releasedPriority Developed first
Baseline today’s governance before planning for tomorrow.
A structured self-assessment to baseline your data and AI governance capabilities and identify gaps.
A structured questionnaire to scope and record the risks of an individual AI system.
Anticipate risks that are not yet well understood.
A template to record, own and track AI risks, including emerging risks that are not yet well understood.
A guided worksheet for exploring plausible AI futures and the governance responses each would require.
Keep governance in step as adoption grows.
Set a regular rhythm for reviewing AI systems, policies and controls as adoption scales.
A starting point to adapt to your organization as generative AI use expands.
Strengthen offerings against changing AI assumptions.
Identify where your products and services depend on AI capabilities, suppliers or rules that may change, and how resilient they are if they do.
Plain-language definitions of key data and AI governance terms.
State privacy laws, FTC guidance and proposed federal reform, explained.
A planned member survey. Methodology to be confirmed.
Some toolkit assets will be available to members only; access will be confirmed for each asset at release. Create a free account and opt in to ADAIG news to hear when assets are released.