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AI Engineering Maturity Assessment
Discover your team's maturity level in AI-powered software engineering
Context
6 out of 10 companies see no real impact from AI in development
The difference between teams that accelerate and those that fall behind is adoption maturity. Knowing where you stand is the first step. Data from McKinsey State of AI report.
Deliverables
What you get
Score from 0 to 100
Objective assessment across the key maturity dimensions, with an overall and per-area score.
Market benchmark
Compare your company with organizations in the same industry and size. Know if you are ahead or behind.
Personalized recommendations
Get concrete, prioritized actions to improve maturity based on your current level.
Process
How it works
Answer the assessment
Objective questions about your company's reality.
Get your report
Score, dimension analysis, and market comparison.
Act with clarity
Prioritized recommendations for your improvement areas.
Scope
6 dimensions assessed
If you lead or influence technology decisions, this assessment gives you the clarity you need.
CTOs & VPs of Engineering
Understand where your org truly stands on AI adoption and make the case for investment with data.
Engineering Managers
Identify gaps in your team's practices before they become delivery bottlenecks.
Tech Leads
Benchmark your team's tooling and workflow against what high-performing teams are doing.
Delivery Managers
See how AI maturity links to throughput, predictability, and cycle time across your squads.
CIOs & CDOs
Get a structured view of AI readiness across engineering to guide your digital transformation agenda.
Founders & CEOs
Know whether your engineering org is keeping pace with AI — before your competitors do.
Get started
Discover your maturity level
Discover your team's maturity level in AI-powered software engineering
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