Robotiqa AI Governance Readiness Check
A twelve-question self-assessment for executives, CIOs and architecture leads in public-sector and regulated organizations.
AI now reaches an organization in three ways: in tools staff use, in products you buy, and in models you build. Being ready to govern it means you can show what you use, who is accountable, how each use is controlled, and what happens when one fails. This check takes five minutes. Answer honestly. Your answers never leave your browser.
Answer every question to see your result
How to answer
Answer each question Yes, Partly or No.
- Yes — true across the organization, written down, and in use.
- Partly — true in some areas but not all, or written down but not yet in use.
- No — not in place, or you do not know.
Who is accountable
What AI you use
How each use is controlled
Suppliers, staff and incidents
Your result
Ready
Partly ready
Not yet ready
0 out of 24
One or more of your answers points to a gap to close before anything else. Read the notes on those questions.
- Question 1. Has your board or executive named one senior person accountable for how your organization uses AI? A person, not a committee or a vendor. Their role should say so in writing.
- Question 4. Do you keep a current list of every AI system and model in use, including AI inside products you buy? Includes AI features in SaaS tools, vendor models, and tools staff use on their own.
- Question 12. Is there a tested plan to switch off or roll back an AI system, and to tell the people affected, if it causes harm? A plan that has never been rehearsed is Partly.
Your answers say your organization can show what AI it uses, who is accountable, how each use is controlled, and what happens when one fails. A self-check records what you believe is true; an assessment tests it. The risk now is drift. AI features arrive inside tools you already own, vendors update models, and staff change roles. Readiness fades quietly unless someone checks it on a schedule. Re-run this check at least twice a year and after any new AI system goes live. The Governing Agentic AI paper describes the guardrails that let an institution adopt agentic AI quickly without losing control.
You have parts of AI governance but not the whole. Some uses are listed, some have owners, and some are tested. Look first at three common gaps: AI inside bought products is missing from the list, risk levels are set without written criteria, and no one checks a model once it is live. Close those three first. Then make one senior person accountable for all of it. The Governing Agentic AI paper shows why clear guardrails speed adoption up rather than slow it down.
AI may be in use in your organization that no one has listed, assessed or been made accountable for. That is not a technology gap. It is a governance gap, and it is the kind regulators, auditors and boards ask about. Start small. Name one senior person accountable for AI. List every AI system in use, including AI inside products you buy. Then give each one a risk level. The Governing Agentic AI paper sets out the model. Read it before your next audit, not after.
Score by area
- Who is accountable
- 0 of 6
- What AI you use
- 0 of 6
- How each use is controlled
- 0 of 6
- Suppliers, staff and incidents
- 0 of 6
Ask Robotiqa about an AI Governance Readiness assessment, or start with the paper.