CONSULTING
Continuous benefit tracking & realisation

Set the PACE™ for AI transformation

Don’t get left behind


In the Exponential Age, where AI reshapes industries overnight, static strategies are a recipe for obsolescence. You need a data-driven approach that continuously adapts to rapidly changing business conditions. With PACE™, we align your data and business drivers with transformational AI opportunities, delivering measurable value sprint by sprint.  

PACE is our strategic decision-making model inspired by military strategist John Boyd. It stands for Perceive, Assess, Commit, Execute, representing a continuous and iterative process to make timely and effective decisions in complex, rapidly changing environments. The model emphasises agility and adaptation by cycling through these four stages repeatedly to respond quickly to new information or evolving situations.

Our PACE™ model

Perceive, Assess, Commit, Execute (PACE)

PACE is a continuous benefit identification, tracking and realisation methodology to ensure value alignment with changing context and business strategy. 

Originally developed for military combat, it is now widely applied in business and can help you gain an advantage in the AI era by outpacing competition and responding to challenges with faster, smarter solutions. 

Inside a tunnel with a blue illuminated ceiling, cars driving through in a line, with the road markings visible.

AI strategy consulting

Turn challenges into continuously executed solutions

  • Spot what’s happening

    We gather clear, unbiased facts about your business to lay a strong foundation for AI.

    • Align with business goals: Engage with your team to align AI possibilities with your core priorities, ensuring every step supports your vision.

    • Review current setup: Examine your existing data, tools and systems to identify what’s ready for AI and where gaps exist.

    • Check AI readiness: Assess your business’s readiness for AI, evaluating strategy, infrastructure, data quality, governance, skills and team mindset.

  • Make sense of it all

    We create a clear picture of challenges and opportunities to focus on what matters most.

    • Uncover key needs: Conduct focused sessions, enhanced by AI insights, to pinpoint pain points and reveal new possibilities for your business.

    • Define success measures: Organise findings and establish straightforward metrics to track AI’s impact, such as time saved or improved outcomes.

    • Refine priorities: Collect feedback to test and refine the most promising AI ideas, ensuring they align with your needs.

  • Choose your course

    We select the best AI solution based on insights, crafting a clear plan to move forward.

    • Prioritise AI actions: Rank opportunities by impact, use AI to forecast outcomes, and build an AI backlog for focused planning.

    • Design system architecture: Plan the hardware and infrastructure needed to support AI, ensuring a robust and scalable setup.

    • Map data flows: Define how data moves through AI systems and create simple dashboards to visualise results clearly.

  • Make AI work

    We bring AI to life, test it and keep improving, helping your team discover new opportunities.

    • Test and launch AI: Run small-scale trials to verify AI tools deliver, then scale up what works best.

    • Train and hand Over: Provide hands-on training, deliver AI tools to your team and monitor progress to embed the change.

    • Spark new AI ideas: Hold regular sessions every few months, using AI to identify fresh opportunities for growth.

Measurable, longitudinal ROI

Deliver business value and benefits that compound

  • 1.1 Operational Cost Reduction

    Measures the percentage decrease in operational expenses due to AI-driven efficiencies, enhancing overall value


    1.2 Business Revenue Growth

    Measures the percentage increase in revenue from AI-enhanced productivity and new products/services

  • 2.1 ESG & Compliance Risk Mitigation

    Tracks reductions in ESG and compliance risks, including penalties, insurance claims and customer disputes.

    2.2 Hazard & Failure Risk Mitigation

    Measures decreases in operational hazards, equipment failures and safety threats, minimising business disruption.

  • 3.1 Decision & Time-to-Market Speed

    Measures the reduction in time to generate and act on insights, improving workflow efficiency and time-to-market.

    3.2 Market Adaptation Speed

    Measures how quickly strategies adjust to market, ICT, regulatory, or environmental changes, ensuring competitiveness.

Ready to set the PACE
for AI adoption?

Get Started