Public Scan v1

AI Agent Readiness Score

Answer 18 plain-English questions and get an indicative 0-100 readiness score, your top gaps, and a human-review flag where high-risk AI use appears.

Q01 Do you have a documented list of every AI tool, agent, or automation in use across your business?
Q02 How confident are you that staff are not using AI tools your business hasn't approved (e.g. personal ChatGPT for work data)?
Q03 Does every AI tool or agent have a named human business owner accountable for it?
Q04 Do any of your AI tools influence decisions in any of these areas? (Select all that apply)
Q05 What is the highest level of autonomy any of your AI tools have today?
Q06 If you have customer-facing AI (chatbot, voice agent, generated content), do customers know they are interacting with AI?
Q07 Do your AI tools process personal data (names, emails, customer records, employee data)?
Q08 Do any of your AI tools touch special-category data (health, ethnicity, religion, political views, biometric, sexual orientation), children's data, or data about vulnerable users?
Q09 Do you know which countries the AI services you use process and store data in?
Q10 Have you reviewed what data is sent to AI tools to ensure only what's necessary is shared?
Q11 Do you have a written AI acceptable-use policy that staff have seen?
Q12 For consequential AI outputs (decisions affecting people, money, or external comms), is there a documented human review step?
Q13 Have staff who use AI tools received AI literacy training (risks, limitations, appropriate use)?
Q14 Have you reviewed the security and privacy posture of the AI vendors you use (DPA signed, data handling, subprocessors)?
Q15 Do you know which underlying AI models (OpenAI, Anthropic, Google, etc.) sit behind the tools you use?
Q16 Are AI tool usage and outputs logged in a way you could produce for an audit or incident investigation?
Q17 Is there a scheduled review of your AI tools (at least annually) to check controls, evidence, and changes?
Q18 If an AI tool produced harmful, biased, or incorrect output that caused real impact, do you have a documented incident response process?