assessment - ai42001.ai

Tell us a bit about your organization

This helps us tailor your readiness report and contribute to industry benchmarks. Takes about 30 seconds.

What industry best describes your organization?

How many employees does your organization have?

Fewer than 50

50–249

250–999

1,000–4,999

5,000 or more

Where is your primary market?

Which ISO management system standards does your organization currently hold? (Select all that apply)

ISO 9001

ISO/IEC 27001

ISO/IEC 20000

ISO 22301

ISO 14001

None

Other

AI governance readiness

For each question, select the option that best describes your organization today. Use the scale below as a guide:

Not in place — Don't have it yet
Informal — We do something, but not documented
Documented — Formalized, but not fully operational
Operational — Documented, implemented, and monitored
Don't know — Genuinely uncertain

There are no wrong answers. Honesty produces the most useful report.

Q1. AI policy — How established is your organization's documented AI policy, formally approved by leadership and communicated across the organization?

Not in place

Informal

Documented

Operational

Don't know

Q2. Roles & accountability — To what extent are AI governance roles and responsibilities (e.g., AI accountable person, AI ethics owner, model owners) formally assigned and understood?

Not in place

Informal

Documented

Operational

Don't know

Q3. AI risk register — How developed is your AI-specific risk register, covering risks unique to AI systems (bias, drift, explainability, misuse, harms)?

Not in place

Informal

Documented

Operational

Don't know

Q4. Impact assessment — To what extent does your organization conduct AI impact assessments (on individuals, groups, and society) before deploying or significantly changing AI systems?

Not in place

Informal

Documented

Operational

Don't know

Q5. Risk treatment — How systematically are AI risk treatment plans documented, assigned, and tracked through to closure?

Not in place

Informal

Documented

Operational

Don't know

Q6. AI lifecycle process — How well-defined is your documented process covering the full AI system lifecycle (design, development, validation, deployment, operation, decommissioning)?

Not in place

Informal

Documented

Operational

Don't know

Q7. Data governance for AI — To what extent do you control the quality, provenance, representativeness, and bias risks of data used to train or operate AI systems?

Not in place

Informal

Documented

Operational

Don't know

Q8. Change management — How rigorously are changes to AI systems (model updates, retraining, parameter changes, prompt revisions) controlled, reviewed, and logged?

Not in place

Informal

Documented

Operational

Don't know

Q9. Responsible use — How well-defined are your organization's processes for the responsible use of AI systems, including ensuring each system is used only for its intended purpose with appropriate human oversight in place?

Not in place

Informal

Documented

Operational

Don't know

Q10. Stakeholder information — To what extent do you provide clear information about your AI systems (their purpose, limitations, and how decisions are made) to affected users, data subjects, or customers

Not in place

Informal

Documented

Operational

Don't know

Q11. Third-party AI — How thoroughly have you assessed and documented risks tied to third-party AI components, foundation models, or AI service providers in your supply chain

Not in place

Informal

Documented

Operational

Don't know

Q12. Operational monitoring — How systematically are AI systems monitored in production for performance drift, bias emergence, security incidents, or other anomalies?

Not in place

Informal

Documented

Operational

Don't know

Q13. Incident & audit — To what extent does your organization have a documented process for AI-related incident management and periodic internal review or audit of AI governance practices?

Not in place

Informal

Documented

Operational

Don't know

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