PreviewYou're previewing CTO AI Forge. Sign in to use it.Sign in

CTO AI Forge

✅ AI readiness for technology and engineering

10 areas, 30 questions, about 10 minutes. Answer for your team as it is today. “Not sure” is a valid answer and shows up as something to find out. You get a level from L0 to L5, a score per area, your top 5 gaps and your next 3 moves.

No account needed. Sign in afterwards to keep your history.

AI readiness for technology and engineering

0/30 answered · step 1 of 10

AI strategy for technology

A written view of where AI should change how you build software and what you ship, tied to engineering and product outcomes and owned by technology leadership.

1.Do you have a written engineering AI strategy that names the outcomes AI should improve (for example lead time, quality, cost or roadmap capacity) with a target for each?
Why we ask

Without named outcomes, AI spend spreads across tools that each 'save time' but move no engineering or business number.

2.Have you agreed with the CEO, CPO and CFO what AI should change in the product and the roadmap, not only inside engineering?
Why we ask

The biggest returns come when faster delivery is pointed at the right product bets; engineering-only plans get judged on seat counts.

3.Do you have a clear, communicated stance on which AI tools engineers may use, for what, and with which data?
Why we ask

DORA's 2025 AI Capabilities Model lists a clear and communicated AI stance as one of seven capabilities that amplify AI's benefits.

Answer all 3 to continue — “Not sure” is a valid answer.