AI maturity assessment: see where you really stand, in hours.
An AI maturity assessment measures how far your organisation has actually come, adoption, skills, controls and value delivered, not how far the strategy deck says. StackUp scores AI maturity alongside your entire technology function, benchmarks it against NIST, ISO/IEC 42001 and the EU AI Act, and gives you a prioritised plan to move up a level.
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Value of moving up one maturity level
$290,000
- HighAI pilots stuck, no path to production$95K
- HighNo measurement of AI value delivered$80K
- MediumAI skills concentrated in two people$70K
- Quick winBaseline maturity across all eight pillars$45K
Trusted by former CTOs of
The scale
The five levels of AI maturity, and how organisations climb
Most organisations sit lower on the maturity scale than their leadership believes. The gap between perceived and measured maturity is exactly where risk and wasted spend accumulate.
From ad-hoc experiments to accountable capability
Early-stage maturity looks like scattered pilots and enthusiasm; high maturity looks like AI in production with owners, controls, measured value and a skills pipeline. An honest assessment places you on that scale with evidence, and shows precisely which gaps hold you at your current level.
Maturity measured in context, tracked over time
AI maturity depends on the foundations around it, data security, staff capability, vendor management. StackUp scores all eight pillars together and benchmarks you against peers, with a time machine that tracks the climb. Planning your first move into AI? Start with an AI readiness assessment, then formalise the guardrails with an AI governance framework.
How it works
Three steps from gut feel to measured maturity
Assess
Establish the evidence base fast.
- Structured assessment across all eight pillars
- AI calling agents capture how teams really use AI
- Under an hour of leadership input, no integrations
Benchmark
See your level, and what's holding you there.
- Scored against peers, best practice and AI standards
- Each maturity gap priced in dollars
- Board-ready report with 'why it matters' videos
Climb
Move up a level with a tracked plan.
- Prioritised actions with owners and timelines
- Reassess and watch the score move over time
- Earn StackUp Certification at a verified 80+
Why StackUp
A maturity model that doesn't need a consulting team
Thirty years of CTO judgement, encoded into a platform your executive team can run this week.
A consulting maturity study
- $40,000+ for a point-in-time study
- Six weeks of workshops and stakeholder interviews
- A maturity level with no path to the next one
- Re-engagement fees every time you want an update
StackUp
- A measured baseline in hours, at a fraction of the cost
- A prioritised, dollar-sized plan to climb a level
- Continuous reassessment built into the platform
- Money-back guarantee. Private to your organisation.
Reviews
Executives on measuring maturity with StackUp
Leaders who swapped opinion-based progress reports for a scored, benchmarked view of their AI capability.
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.
Takes the subjectivity and emotion out of assessing technology capability and drives focus on the right areas for improvement.
Proof
Leaders who measured before they promised
Real engagements where a measured technology baseline replaced assumptions at the executive table.
CEO gains independent visibility without undermining their CTO
A SaaS CEO scaling past $28M wanted an independent read on how mature the technology function really was, the CTO completed the assessment in under 40 minutes.
"For the first time, I wasn't translating technology updates. I had my own view."
CTO establishes credibility and roadmap in first 90 days
A new fintech CTO baselined maturity in week one and anchored the 90-day roadmap in evidence, setting targets the board could track.
"Instead of defending inherited decisions, I was setting direction."
FAQs
AI Maturity Assessment questions, answered
What is an AI maturity assessment?
An AI maturity assessment measures how developed an organisation's AI capability actually is, across adoption, skills, governance, data foundations and value delivered, and places it on a maturity scale. Unlike a strategy review, it is evidence-based: it scores what exists today and identifies exactly what separates you from the next level.
What are the levels of AI maturity?
Most models describe five: ad-hoc (scattered experiments), emerging (early adoption without controls), defined (policies and owners exist), managed (measured, governed use in production) and optimised (AI capability that compounds). The label matters less than the evidence, StackUp scores the underlying components so you know your level and your blockers.
How is AI maturity different from AI readiness?
Readiness is a forward-looking question, can we adopt AI safely now? Maturity is a progress measure, how far has our capability actually developed? Run a readiness assessment before scaling AI, and reassess maturity on a cadence to prove the climb. StackUp measures both on the same eight-pillar foundation.
How often should we reassess AI maturity?
Quarterly is the practical cadence for most organisations, fast-moving AI programmes justify more. Because StackUp's assessment takes under an hour of leadership input and tracks scores over time, reassessment is a routine check-in rather than a new project, and the time-machine view shows the board a trend, not a snapshot.
What does the assessment benchmark against?
Your AI maturity is benchmarked against the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act, plus peer organisations and technology best practice across eight pillars. A verified score of 80 or higher earns StackUp Certification, a public signal of strong technology governance and operational maturity.
Put a number on your AI maturity
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