Free AI Engineering ROI Assessment

    Can you prove your engineering AI investment is working?

    Answer a few questions about adoption, engineering impact, quality, measurement, spend and governance. You'll receive an AI Engineering ROI maturity score and practical next steps.

    • ~3 minutes
    • Free
    • Instant results
    • No sales call required
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    What the assessment covers

    Ten multiple-choice questions about how your engineering organisation uses AI coding tools such as Cursor, GitHub Copilot, Claude Code and ChatGPT — and whether you can show the effect on delivery.

    AI adoption
    How many engineers regularly use AI coding tools, and how standardised that usage is.
    Engineering impact
    Whether you can demonstrate measurable engineering improvements from AI.
    Measurement
    Whether delivery metrics such as cycle time and deployment frequency are tracked and linked to AI usage.
    Quality & rework
    How the quality of AI-assisted code is measured, reviewed and tested.
    Cost
    Whether AI tool spend and licence utilisation are tracked.
    Governance & enablement
    AI usage policies, training and best-practice sharing across teams.

    What you get

    After the questions, you add your contact details and see an AI Engineering ROI score out of 40, your maturity level and recommended next steps. If it's useful, you can book a 30-minute review of the results.

    1. 1

      Experimental

      AI usage exists but is largely unstructured, and its business impact is unclear.

    2. 2

      Adopting

      AI adoption is growing, but measurement, governance and consistency have important gaps.

    3. 3

      Operational

      AI is integrated into engineering workflows and some impact is measurable, with room to improve ROI visibility.

    4. 4

      Measured & Scalable

      AI adoption is structured and measurable; the next step is optimising ROI, quality and advanced workflows.

    Who it's for

    CTOs, VPs of Engineering, Heads of Engineering and technical founders at software, SaaS and digital product companies who need to know whether AI tools are improving engineering delivery, quality and cost. If you want to go further, see how the paid AI Engineering ROI Assessment and follow-on services work.