A sharp diagnostic, not a survey. Find out which of the six stages of enterprise AI maturity you're actually operating at, and which gaps are holding you back.
What it takes
10 questions. About 5 minutes.
Five dimensions: Foundation, Readiness, Scale, Accountability, Outcomes. Two questions each. Answer honestly, the assessment is sharper than a typical survey, and self-flattering answers won't help you.
What you get
Your stage, your gaps, your next moves.
A clear picture of where your function sits on the AI Pathway, what you've built, and the specific moves that unlock the next stage. Downloadable as a branded PDF.
AI Maturity Assessment
Where is your enterprise on the AI curve?
10 questions · 2 minutes per function · Revisit every 3–6 months
Take this assessment once per function. Run it separately for Service Desk, Change Management, Incident Response, Security, HR Service Delivery, Finance Operations, or any other function where AI is in play. They're rarely at the same stage — averaging them hides the gap that matters.
Questions are grouped into five dimensions: Foundation, Readiness, Scale, Accountability, and Outcomes. Your stage is based on how many dimensions you've fully addressed — but your result will also flag where you've gotten ahead of yourself, and why that's a risk worth naming.
Select function
Answer yes or no
Answered: 0 / 10
One more thing
How confident are you that your colleagues in this function would answer these questions the same way you did?
1 = very low · 5 = very high
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Core challenge
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Your position on the AI Pathway
Your feedback
What you've built
Where to focus next
Stage 1 — StartingStage 6 — Autonomy
Dimension breakdown
Where enterprises are today — Xurrent estimate
Note on the numbers
These percentages are a Xurrent estimate, informed by public research on enterprise AI maturity. Directional support includes McKinsey's 2025 finding that just 1% of leaders rate their companies as "mature" on AI deployment; Gartner's data that 46% of organizations are in the first two stages of AI maturity; and research showing only 12–16% of software engineering leaders rate their processes, workforce, or architecture as AI-ready. The 6-stage model and distribution are original to Xurrent's AI Pathway to Success whitepaper.
How stages are determined
Score history
Scores saved this session. The direction of movement matters more than any single score.
