


AI MaturityYou invested in AI. The technology works. The value didn't follow
Organisations across the Nordics are spending heavily on AI — and only a small minority (4 %) see real business value. The gap is rarely technical. It’s human and organisational. Surveyxact AI Maturity gives you a systematic, data-informed picture of whether your organisation can design and improve the complementary collaboration between people and AI.


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Where AI Value LeaksAdoption is not
the same as value.
AI tools are everywhere but returns often don't match up. Here’s where the value leaks out — and why buying more technology doesn’t fix it. The problem is primarily human and organisational. When AI transformations fail, the instinct is to look at the technology. But research from Aarhus University’s Centre for Hybrid Intelligence and data from across the Nordics show the cause is different: trust, clarity, ownership and adoption — not the model.
What is your gap costing you right now?
is what you pay each year for AI capacity that is never turned into value
Default share based on Nordic adoption data (Deloitte State of AI in the Nordics 2026). This is an indicative estimate.
AI Maturity SolutionWhen perception gaps are visible, decisions get clearer
This is how it worksFrom measurement to action in weeks - not months
Most organisations measure AI maturity once — and file the results. Surveyxact AI Maturity is built differently: from first response to prioritised action plan in weeks, and a benchmark that proves progress over time.
Why AI maturity failsKey AI maturity issues that impact transformation
AI transformations don't stall because the technology fails. They stall because the human and organisational foundation isn't in place. Surveyxact AI Maturity surfaces the gaps that decide whether your investment pays off.
When leadership and employees see a different organisation
Leaders believe the strategy is clear, the rules are in place and the tools are working. Employees often experience the opposite. These perception gaps are exactly where AI initiatives stall, and most organisations can’t see them.
When the barrier is human, not technical
When AI transformations fail, the instinct is to look at the technology. But the majority of failures trace back to people and organisation: trust, clarity, ownership and adoption - not the model.
When the rules exist on paper but not in people’s heads
Leadership believes AI usage is governed. Employees don’t know which tools they’re allowed to use. This classic governance gap drives shadow AI, and AI Maturity makes it visible before it becomes a risk.
When you’re about to invest more - without knowing your baseline
Scaling AI on an unclear foundation amplifies the gaps. A maturity baseline tells you where to strengthen human–AI collaboration first, so the next investment actually compounds.

Business case of AI MaturityAI maturity measurement that drives measurable business value
When organisations understand where people and AI collaboration breaks down, they can act before it affects results. Measuring AI maturity surfaces the human and organisational gaps that determine whether AI investment pays off — giving leaders a clearer, more confident path to transformation.
In Denmark approximately 70% of all Danish companies use AI.
Dansk Erhverv 2026
4% of Nordic companies see 5x return on AI investment
BCG Nordic AI Report 2026
In Sweden 3% of all companies see a significant ROI from AI
BCG Nordic AI Report 2026
More than 50% of AI projects fail due to human factors, not technical ones.
Qualtrics Readiness Research 2025
A strategic instrument — used correctly
AI Maturity works best when you understand what it is designed to do — and what it is not.
AI maturity IS
AI maturity IS NOT

A reliable platform built for actionable insightMeasure. Understand. Act.
From questionnaire to finished report, Surveyxact takes you through your AI Maturity and is fully compliant.
Turn maturity results into clear action plans
Move from insight to execution with guided action plans that help leaders prioritise focus areas, take ownership and follow up consistently — making progress visible and measurable over time.
Make results easy to understand and use
Build structured and reliable AI maturity measurement
Manage your entire AI maturity effort in one place
FAQCommon questions about AI maturity surveys
What is an AI maturity survey?
An AI maturity survey helps organisations understand how strategic direction, leadership credibility, ethical governance and real AI usage are experienced across all levels — and how these factors influence whether AI investment delivers business value. The SurveyXact AI Maturity survey is grounded in hybrid intelligence research and goes beyond readiness to measure whether your organisation can design and improve the complementary collaboration between people and AI.
Why does AI maturity measurement matter for business performance?
Because the gap between AI investment and AI value is almost always human and organisational — not technical. 70–80% of AI projects fail due to lack of user adoption, and only 4% of Nordic companies see significant return on AI investment. Measuring AI maturity surfaces the perception gaps between leadership and employees before they stall transformation. It also helps organisations understand how to strengthen what already works and build on existing momentum.
How often should organisations measure AI maturity?
Most organisations run an annual AI maturity baseline to understand core dimensions, often combined with pulse surveys to track confidence and alignment during active transformation. Frequency should reflect how fast the organisation is moving and how consistently results can be followed up. More frequent pulse surveys act as an important early warning system.
What makes AI maturity data reliable and actionable?
Reliable AI maturity data is based on validated survey models, consistent methodology and high participation across all levels. Actionability comes from perception gap analysis — comparing how leadership rates the organisation against how employees experience it — giving leaders insight they understand and feel confident acting on.
How do leaders use AI maturity results in practice?
Leaders use AI maturity insights to prioritise transformation initiatives, strengthen governance and clarity, and follow up with concrete actions. The perception gap matrix helps identify where to act first: critical gaps (low score + large gap), alignment challenges (high score + large gap), and areas to maintain. The result is a clearer answer to three questions: where do we stand, where are the biggest gaps, and what do we do next?
Built to measure maturity — not just readiness
Book a demoTurn AI maturity into business impact
Understand what drives — or blocks — AI adoption
Give leaders clarity and a clear direction
Drive meaningful change through data-informed action
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