Services

    From AI adoption to measurable engineering improvement

    A staged approach: understand where you are, improve what matters, and verify the result. Each step is scoped with you, and you only move to the next when the evidence supports it.

    How engagements progress

    1. 01

      Free assessment

      ~3 minutes, online

    2. 02

      Results review

      30-minute call

    3. 03

      ROI Assessment

      Paid diagnostic

    4. 04

      Improvement Sprint

      Implementation

    5. 05

      Continuous performance

      Optional, ongoing

    01 · Diagnose

    AI Engineering ROI Assessment

    A focused diagnostic engagement that establishes where AI is creating value, where measurement is missing, and where your biggest opportunities and risks are.

    Best for: Engineering organisations that have rolled out AI tools and now need a clear, evidence-based view of what they are getting from them.

    Start with the Free Assessment

    Typical scope

    • AI adoption baseline across teams and workflows
    • Engineering workflow review
    • AI tool and spend review
    • Measurement maturity assessment
    • Quality and rework considerations
    • Governance gaps
    • Prioritised opportunities
    • 90-day action roadmap
    02 · Improve

    AI Engineering Improvement Sprint

    Turn the assessment findings into practical improvements across engineering workflows, AI usage, team practices and measurement.

    Best for: Teams that know where the gaps are and want hands-on help closing them, rather than another slide deck.

    Typical scope

    • AI-assisted development workflows
    • Code review practices
    • Testing and QA workflows
    • Documentation and onboarding
    • Internal AI usage guidelines
    • Training where necessary
    • Practical automation
    • Agreed measures to verify the impact
    03 · Sustain

    Continuous AI Performance

    Ongoing measurement and advisory support for companies that want to keep improving AI adoption, engineering impact and governance.

    Best for: Leadership teams that need regular, reliable reporting on AI in engineering as tools and practices keep changing.

    Typical components

    • Periodic reviews
    • Metrics and adoption monitoring
    • New tool evaluation
    • Workflow optimisation
    • Leadership reporting
    • TeamAxiom platform where relevant

    Scope, timeline and pricing are agreed with you after the results review, based on your team size and goals.

    Supporting capabilities

    Tools we use inside an engagement

    Advisory sessions, training and guidelines are not ends in themselves. We use them where the assessment shows they will move the numbers.

    Leadership alignment session

    A focused 60–90 minute session for CTOs, engineering leadership and founders.

    • What to measure and how to report it
    • Risk and opportunity mapping
    • Rollout and investment priorities

    Team enablement workshops

    Hands-on, role-specific sessions built around the workflows identified in the assessment.

    • AI-assisted development, review and testing workflows
    • Safe usage principles and data handling
    • Exercises based on real scenarios from your teams

    AI usage guidelines & governance

    Practical guidance your engineers can actually follow.

    • Approved tools and data handling
    • Source-code and quality controls
    • Aligned with your existing security policies

    Delivery formats

    Remote

    Interactive sessions with live exercises — not passive webinars. Available globally.

    In person

    On-site sessions across Europe, well suited to leadership alignment and intensive team days.

    Tailored

    Adapted to your stack, roles and AI maturity, with examples from your own workflows.

    Start with a clear picture of where you are.

    The free assessment takes about three minutes and gives you an AI Engineering ROI maturity score. If it's useful, we can review the results together.

    Free • ~3 minutes • Instant AI Engineering ROI score