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ADVISE

From intent to a clear vision, direction and plan. We help you choose where data and AI will pay back, in what order, and what has to be true for it to work.

Discuss your strategy

01 / THE SHIFT

Today and the target

TODAY

Busy, not focused

AI pilots start wherever there is enthusiasm. Few reach production, nobody can say what they returned, and the capabilities that would make them work are not in place.

TARGET

A plan that returns measurable ROI

A short list of data and AI use cases ranked by value and feasibility, the capabilities they depend on, and a sequenced roadmap with an investment case that sets out the return the board can measure.

02 / METHOD

How we work

Leadership interviews and a review of your strategy, so the plan starts from your objectives, not from technology.

We score data and AI capability against the National Data Index, NDMO and SDAIA expectations, and show where the gaps are.

Use cases sized for value and effort, so the first investments are the ones most likely to pay back.

A sequenced roadmap, operating model and investment case, with an owner and a measure for each step.

Data and AI StrategyTHE FLOW OF WORK
ObjectivesLEADERSHIP INTENT
BaselineNDI · NDMO · SDAIA
Use casesVALUE · EFFORT · RISK
RoadmapSEQUENCED
Investment caseCOST · BENEFIT · OWNER
STAGE NOTES

Objectives: What the organisation is trying to achieve, in its own words.

03 / CAPABILITIES

What we deliver

01 / ROADMAP01 / 03

Strategy and roadmap

Where you are, where you need to be and the order to get there.

VISION · ROADMAP · INVESTMENT CASE

Know where you are going,
know what it costs

VISIONWhat data and AI should do for the organisation, in plain terms.
ROADMAPInitiatives sequenced by dependency and value, quarter by quarter.
CASEThe cost, benefit and risk of each step, ready for approval.

04 / DELIVERY

What you receive

A strategy, a ranked use case portfolio, a sequenced roadmap and an investment case, each owned by a named person in your organisation.