AI READINESS ASSESSMENT

Know where
you stand.Know what’s next.

A practical assessment of your AI foundations. Answer 10 questions and get a clear score, tailored priorities and a downloadable report.

WHAT WE ASSESS

AI readiness is more than buying a licence.

Good AI adoption starts with a real business problem, clear ownership, usable information and sensible controls. Our assessment looks at the foundations that make AI practical, secure and measurable.

01 /

Business & ownership

Defined problems, accountable owners and a clear reason to invest.

02 /

Data & platforms

Visibility of existing tools, usable business data and approved AI access.

03 /

Security & governance

Identity controls, data-handling rules and proportionate oversight.

04 /

Human review & value

People checking important outputs and meaningful measures of success.

HOW IT WORKS

Simple questions.
Clearer decisions.

Each of the 10 questions is worth up to two points. Base your answers on what genuinely exists today, not what you plan to introduce.

00

Not in place.

There is no reliable process, control or clearly defined approach in this area.

01

Partly in place.

Something exists, but important gaps, inconsistencies or informal practices remain.

02

Clear & working.

The foundation is established and sufficiently reliable for responsible AI use.

10 checkpoints × 2 points = 20 points maximum. Your result includes a breakdown and recommended next steps.

YOUR ASSESSMENT

Find your starting point.

Choose the option that best describes your business today. You'll see your results immediately and can download your report without submitting contact details.

Step 1 of 4 · Strategy & Ownership 2 of 10 checkpoints
Step 1 · Strategy & Ownership

Start with the business case.

Strong AI projects start with a defined problem and someone accountable for the outcome.

Please answer both questions before continuing.
01A real business problem has been identified You can name the process, bottleneck or outcome you want to improve before discussing which AI product to buy.
02There is a named business owner Someone is accountable for the outcome, adoption and ongoing use — not just for configuring the technology.
Step 2 · Visibility, Data & Platforms

Check the environment AI will rely on.

AI can only work safely and reliably when you understand current usage, information access and the approved route for business use.

Please answer all three questions before continuing.
03You know which AI tools are already in use You have visibility of approved subscriptions, personal tools, browser extensions, built-in AI features and unofficial “shadow AI”.
04Your data is usable and appropriately permissioned People can find the right information, access is not excessively broad, and sensitive content is not scattered across unmanaged locations.
05You have an approved AI platform route Staff know which tools they should use for business work and what protections apply to those accounts or workspaces.
Step 3 · Security & Governance

Make sure AI does not widen existing gaps.

Connected AI increases the value of identities, permissions and company data. Basic controls and rules should already exist.

Please answer all three questions before continuing.
06Identity and device controls are in reasonable shape MFA, joiner/leaver processes, permissions and managed devices are good enough to support connected AI without widening existing security gaps.
07Data-handling rules cover AI Employees know what they may and may not enter into AI tools, including customer, personal, confidential and commercially sensitive information.
08You have basic AI governance There is a lightweight process for approving new use cases, recording owners, assessing risk and reviewing suppliers.
Step 4 · Human Review & Measurement

Make AI accountable and measurable.

The last two checks determine whether AI can be used responsibly and whether you will know if it actually created value.

Please answer both questions to see your score.
09Human review is designed into important workflows People know where AI output must be checked, who can approve decisions and when an automated process should stop or escalate.
10Success can be measured You have a baseline — time, cost, error rate, response time, conversion or another meaningful metric — so you can tell whether AI delivered value.
0 out of 20
Your AI Readiness Result

Your result

0–7 · Build the basics first
Strategy & Ownership0 / 4
Visibility, Data & Platforms0 / 6
Security & Governance0 / 6
Human Review & Measurement0 / 4
20
Your overall score uses all 10 questions. Each question is worth up to 2 points, so 10 questions × 2 points = 20. Every score shown below contributes to your total.
Your complete score breakdown

All 10 assessment results

These are the exact scores used to calculate your overall result of 0 / 20.

Where to start

Your top priorities

The lowest-scoring areas are shown here so you have a clear starting point.

Send your assessment to CloudSec AI

Your score and all 10 answers will be sent in the email. Add your details so we know who to reply to.

Please complete your name, company and a valid business email address.

How the 0–20 score is interpreted

0–7 · Build the basics first

Useful opportunities exist, but wider use would be risky. Fix the main gaps first.

8–13 · Ready to start small

Start with one or two low-risk AI use cases and fix the obvious gaps as you go.

14–17 · Good foundations

You have a solid base for wider AI use. Keep reviewing risk, data and ownership for each use case.

18–20 · Ready to scale carefully

Focus on measuring results, keeping controls consistent and scaling the AI use cases that work best.