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framework.

The Lumo method.

in short.

The Lumo method is a six-step approach to AI transformation: review, impact, plan, execute, measure and optimise. It takes an organisation from a readiness baseline to value proven in the P&L, with named outputs at every step so leadership can see progress and decide what to fund next.

Most AI initiatives stall because organisations skip the work that makes AI stick. The method puts that work in order: understand where you are, size what is worth doing, sequence it, build it with the people who will use it, prove the value, then compound it.

the six steps.
  1. 01.

    review.

    Establish the baseline: where value hides and how ready you are to capture it.

    • Leadership and frontline interviews
    • A look at the P&L, processes, systems and data
    • Readiness assessed across data, technology, skills, governance and culture

    opportunity scan · readiness score · benchmark map

    related: data & ai readiness

  2. 02.

    impact.

    Size the prize: every use case sorted by value and feasibility.

    • Each use case sized by the value it can create
    • Ranked by value against the effort and risk of delivery
    • The first few selected for a business case

    use-case list · value x effort matrix · ROI estimates

    related: ai roi

  3. 03.

    plan.

    Chart the path from copilot to autopilot, sequenced for early wins.

    • Outcomes, owners and measures set for each use case
    • Workflow changes, platform needs and controls designed
    • Waves sequenced so early wins fund what follows

    delivery roadmap · sequencing · schedule

    related: ai agents · ai governance

  4. 04.

    execute.

    Build, deploy, embed: change lands with the people who use it.

    • Tools, agents and workflows built in your environment
    • Roles and processes redesigned around them
    • Adoption supported until the new way of working holds

    workflow builds · workforce transition · adoption support

    related: ai & the future of work · ai agents

  5. 05.

    measure.

    Prove the value in the P&L, not the demo.

    • Results tracked against the baseline set at review
    • Value reported in cost, time, quality or revenue
    • Evidence kept for boards, investors and exits

    impact reporting · value realisation

    related: ai roi

  6. 06.

    optimise.

    Compound every win: retrain, refine, reprioritise.

    • Models, prompts and workflows tuned on live results
    • The next opportunities reprioritised on evidence
    • A scale plan for what has proven its value

    next opportunities · tuning · scale plan

    related: ai agents

questions.
01.

How long does the Lumo method take?

Review and impact usually take four to six weeks and end in a costed plan a board can approve. Execute, measure and optimise then run in waves, each with its own outcomes, so value starts arriving well before the whole programme is complete.

02.

Can we start partway through?

Yes. Organisations with use cases already live often start at measure, to establish what the work is actually returning, then go back to impact to reprioritise what comes next.

03.

What does copilot to autopilot mean?

A sequence for autonomy. People first work alongside AI that assists them, the process is redesigned around what it does well, and responsibility moves to the AI step by step as controls and evidence build.

See also the Lumo value framework.

next step.

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