AI readiness assessment: check your starting point
Use this free self-assessment to review your AI readiness across seven areas. Answer 28 questions to receive a score from 0 to 100. The score helps you identify questions to investigate; it is not an audit or a prediction of success.
Complete the AI readiness assessment
Choose one answer for every statement. Use evidence from the target business unit or workflow, not an average impression of the whole company. Scale: 1 = not in place; 2 = started; 3 = used by some teams; 4 = measured and managed.
Your AI readiness self-assessment
/ 100 ·
This score is based only on your answers. It is not an audit, certification or release approval.
Scores by dimension
Your three priority gaps
No email is required. Questions and results stay in this tab and are cleared when you leave or reload the page.
AI readiness checklist
Use this checklist before you invest. Each item should be true, with evidence.
- An executive owns AI outcomes and funding.
- You keep an inventory of the AI tools and systems in use.
- Each priority use case has a baseline metric.
- The data for priority use cases is accessible, and its quality is known.
- An acceptable-use policy exists, and staff know it.
- Risk tiers decide which reviews a use case needs.
- Someone owns each system after launch.
- You can measure usage, quality and cost for each system.
- Vendor contracts cover data use, security and exit.
- The board receives a regular AI update with evidence.
If fewer than six items are true, read the AI maturity model. Start with the scorecard on this page. This checklist is a planning prompt. Its six-item threshold is not a validated readiness cutoff or part of the score calculation.
For an outside review that ends in a written decision, see the AI Growth Readiness Audit.
How the readiness score is calculated
Each answer scores 1 to 4. With 28 answers, the raw total is 28 to 112. The overall score is round((total − 28) / 84 × 100). Each four-question dimension uses round((dimension total − 4) / 12 × 100). Dimensions have equal weight.
| Overall score | Planning band | Next decision |
|---|---|---|
| 0 to 39 | Foundation work | Close key ownership, data and process gaps before selecting a larger program |
| 40 to 69 | Pilot planning | Choose a bounded use case and test the evidence behind your answers |
| 70 to 100 | Scale-readiness review | Validate the controls, operating model and business case before any scale decision |
The three lowest dimensions are highlighted. Ties use the order shown in the assessment. Missing foundations in data or governance remain warnings even when the overall score is high. Any serious legal, safety or security issue can block deployment regardless of the score.
Turn a score into a practical plan
- Check the evidence. Ask the owner for the policy, metric, test or decision behind each answer.
- Choose one workflow. Define a baseline, users and a business outcome.
- Close blocking gaps. Resolve required data rights, controls and ownership before release.
- Run a bounded test. Measure cost, successful tasks, errors and human intervention.
- Review the decision. Scale, change, delay or stop based on the results.
Use the governance framework, risk assessment and ROI calculator for the next layer of evidence.
Free assessment versus the AI Growth Readiness Audit
The free score reflects self-reported answers. It does not include interviews, document review or independent testing. A high score is a reason to validate readiness, not a certificate.
Paul Okhrem's AI Growth Readiness Audit is a separate, paid six-week engagement: 80 hours at a fixed USD 80,000 fee. It reviews company evidence and produces a scoped decision and action plan. The free tool does not commit you to that service.
If the company needs ongoing investment and governance ownership, compare fractional CAIO services. See pricing and terms.
Questions about ai readiness assessment: a free 28-question scorecard
Is this AI readiness assessment free?
Yes. The interactive score and CSV are free and ungated. Paid consulting and the AI Growth Readiness Audit are separate services.
Are my answers sent to Paul Okhrem?
No. The assessment calculates results locally in your browser. It does not send or save your answers. An enquiry form is separate and only sends the information you choose to submit.
Does a high score mean our AI system is safe to scale?
No. The result is a self-assessment heuristic. Validate evidence, legal obligations, controls and operating readiness before a release or scale decision.
How is AI readiness different from AI maturity?
Readiness asks whether the conditions exist for a defined next step. Maturity describes how established the organization's practices are. Counting tools or completed pilots does not prove either. Use the scorecard to identify gaps, then check the evidence for the workflow and decision you plan to approve.
Who compiled this readiness assessment
Compiled by Paul Okhrem, AI transformation consultant and fractional Chief AI Officer. Co-Founder and CEO of Elogic Commerce; Managing Partner at Uvik Software since June 2017. Paul compiles this research as part of his fractional CAIO work advising CEOs and boards on AI and agentic AI decisions.
Change log
- : Reviewed copy, source boundaries and supporting resources.
- : Reviewed service scope, source evidence, links and buyer answers for the October release.
- : Clarified the purpose of the free assessment while preserving its 28 questions, scoring and local-only processing.
Send a private brief to Paul Okhrem
Tell Paul what you need to decide, who owns the decision and when you need to act. Review his background and published terms.