Free Assessment

What's Your AI Engineering Score?

7 questions. 90 seconds. A personalized action plan for your team.

500+ CTOs and engineering leaders have taken this assessment.

Find out where your team stands on AI — in 90 seconds.

Most engineering teams either overestimate or underestimate their AI readiness. This assessment gives you an honest benchmark and a clear, specific set of next steps.

  • Your AI Engineering Score (0–100) benchmarked against industry
  • Your readiness tier with a plain-English breakdown
  • 3 specific recommendations tailored to your answers
  • A copy of your results delivered to your inbox
⏱ Takes about 90 seconds · No credit card · No sales pressure
Question 1 of 7 14%
What best describes your engineering organization right now?
🚀 Startup or scale-up (<50 engineers) — moving fast
📈 Growth-stage company (50–200 engineers) — trying to ship faster
🏢 Mid-market or enterprise (200+ engineers) — trying to modernize
👤 Business leader or founder overseeing an engineering team
How is AI currently being used inside your engineering team?
We haven't seriously started yet
Developers use AI tools individually (Copilot, Cursor, etc.) — but it's not standardized
We've run 1–2 AI pilots or POCs but haven't shipped them to production
We have AI features in production but they're hard to maintain and scale
AI is deeply embedded in our workflows and shipping reliably
When it comes to your product or customer data, which is closest to your reality?
Our data is scattered across multiple systems, inconsistent, and hard to access
We have decent data but it's not structured or labeled for AI use cases
We have clean, centralized data — but no ML/AI pipeline to use it
Good data + infrastructure — we just need the AI expertise to build on it
How is your team handling AI security and governance today?
Honestly — we haven't really thought about it. Teams use whatever AI tools they want.
We've had informal conversations but have no formal policies or controls
We have basic guidelines but no technical controls or compliance processes
We have formal AI governance, security controls, and compliance frameworks in place
What's the biggest constraint on your team's ability to build AI-powered features?
We don't have engineers with the right AI/ML skills in-house
Our team is stretched — we're stuck maintaining existing systems instead of building new ones
We move too slowly — too much process, not enough shipping velocity
We have the team but lack a clear AI strategy and roadmap
We're actually well-positioned — this isn't our main pain right now
How urgently does your organization need to move on AI engineering?
🔥 We're on fire — this is actively blocking growth or costing us right now
⚡ We need to move in the next 1–3 months or we'll fall behind competitors
📅 We're planning for the next 6–12 months
🔍 Still in research mode — no firm timeline yet
How many engineers are currently on your team (in-house + contractors)?
1–5 engineers
6–15 engineers
16–50 engineers
51–150 engineers
150+ engineers
?

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