AI readiness assessment: know if you are ready before you scale.
An AI readiness assessment answers the question every executive team is circling: can we adopt AI safely, and where would it break first? StackUp measures readiness across your people, data, security and governance, benchmarks it against NIST, ISO/IEC 42001 and the EU AI Act, and prices every gap, in hours, not a quarter.
Independent · no upsell · money-back guarantee
Value of closing the readiness gaps
$310,000
- HighCustomer data reachable by unvetted AI tools$90K
- HighNo AI skills baseline across teams$80K
- MediumData quality too low for reliable automation$75K
- Quick winStand up an AI acceptable-use policy$65K
Trusted by former CTOs of
The benchmark
What an AI readiness assessment actually measures
Readiness is not enthusiasm. It is whether your data, security, skills and governance can carry AI into production without creating the risks your board will later have to explain.
Benchmarked against the frameworks that count
StackUp maps your AI readiness to the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act, the reference points regulators, insurers and enterprise customers now use to judge whether an organisation is ready to run AI responsibly. The gaps you close here become the backbone of your AI governance framework.
Readiness across the whole function, not just the models
AI fails at its weakest dependency, usually data, access control or skills rather than the model itself. StackUp scores readiness across the eight pillars of your technology function, so you see the real blockers. To track progress over time, pair it with an AI maturity assessment.
How it works
Three steps to a defensible readiness score
Assess
Gather the evidence from three angles.
- Structured assessment completed by your technology leader
- AI calling agents hear how teams actually work with AI
- No integrations, under an hour of input
Benchmark
See where you stand and what the gaps are worth.
- Scored against best practice, peers and AI standards
- A dollar figure on every readiness gap
- Board- and exec-ready reporting in plain language
Act
Close the gaps in priority order.
- A prioritised action plan with quick wins first
- AI CTO guidance for the hard calls
- Reassess as adoption grows and prove the progress
Why StackUp
An AI maturity audit without the consulting runway
Independent, evidence-based readiness scoring, powered by 30 years of CTO experience, not a workshop calendar.
A typical readiness consulting review
- $40,000+ engagement fee
- Six weeks of interviews and workshops
- A static readiness report, dated on arrival
- An incentive to sell the transformation that follows
StackUp
- A fraction of the cost, with a money-back guarantee
- Evidence-based results in hours, not months
- Readiness tracked on a platform as you improve
- No upsell. Private to your organisation.
Reviews
Leaders on assessing readiness with StackUp
What executives and CIOs found when they replaced gut feel with an independent, measured view.
Takes the subjectivity and emotion out of assessing technology capability and drives focus on the right areas for improvement.
StackUp gave us immediate clarity. It's like having a 20-year CTO on call 24×7, without the $500K price tag.
Comprehensive and fast.
Proof
Executives who measured before they scaled
Real engagements where an independent baseline gave leadership the confidence to move on AI and technology decisions.
CEO gains independent visibility without undermining their CTO
A fast-growing SaaS CEO wanted an independent read on the technology function before doubling down on AI, without turning the question into a political event.
"For the first time, I wasn't translating technology updates. I had my own view."
Board secures independent technology oversight before it becomes urgent
This board wanted documented evidence that technology and AI risk was under control before regulators or investors asked, and got it within 48 hours.
"This gave us evidence without turning it into a six-month audit exercise."
FAQs
AI Readiness Assessment questions, answered
What is an AI readiness assessment?
An AI readiness assessment is a structured evaluation of whether an organisation can adopt AI safely and effectively. It measures the dependencies AI relies on, data quality, security, skills, governance and infrastructure, and identifies the gaps that would cause an AI initiative to stall or create risk. The output is a scored, prioritised view of what to fix before scaling.
What does StackUp's AI readiness assessment cover?
StackUp scores AI readiness in the context of your entire technology function: eight pillars including data security and privacy, staff and training, policies and procedures, risk management and vendor management. It then benchmarks your AI maturity against the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act, and puts a dollar figure on each gap.
How long does an AI readiness assessment take?
With StackUp, the structured assessment takes your technology leader under an hour, and most organisations have a documented, board-ready baseline within 48 hours. A comparable consulting review typically runs four to six weeks of workshops before you see a first draft.
How is AI readiness different from AI maturity?
Readiness asks whether you are prepared to adopt AI safely today; maturity measures how far your AI capability has actually developed over time. They complement each other: readiness before you scale, maturity to track the climb. StackUp measures both in the same platform, so one baseline serves both questions.
Which standards is the assessment benchmarked against?
The NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act, alongside broader technology best practice. That matters because those are the frameworks your regulators, insurers, enterprise customers and future acquirers will use to judge you, so your readiness score speaks their language.
See how ready your organisation really is
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