AI strategy and roadmap

A costed, sequenced plan for where AI earns its place in your business, written with the people who will have to deliver it.

Best for

  • Leadership teams without an internal AI function
  • Businesses that have run pilots and seen nothing land
  • Groups planning next year's technology budget
12 mo
Roadmap with owners and budgets
3 to 5
Use cases worth funding first
1
Business case your board can sign

What it is

A plan you can fund and follow.

An AI strategy is a decision about where to spend the next four quarters, not a tour of the model landscape. We look at your margins, your operating model and the work your teams still do by hand, then name the handful of places where AI changes the numbers.

You get a roadmap with owners, budgets, dependencies and a sequence. It says what to do first, what to leave alone, and what has to be true before the next item starts. Short enough to read in one sitting, specific enough to hand to a delivery team.

What we do

The work, item by item.

Each engagement covers the same four areas, weighted to where your risk and value actually sit.

01

Business and data review

Two weeks of interviews across operations, finance, technology and the front line, paired with a look at the systems and data you already hold.

02

Value modelling

Every candidate use case gets a cost, an expected return and a confidence level, so the list is ranked by money rather than enthusiasm.

03

Sequencing and ownership

We map dependencies between use cases and name an internal owner for each, including the ones we recommend you do not build.

04

Board-ready narrative

A written case for the plan in your language, with the assumptions visible, so approval does not depend on a slide deck.

How we implement

The steps, and what you get at each one.

Fixed deliverables, agreed durations and a decision point at the end of every step.

  1. 01

    Diagnose

    1 to 2 weeks

    Interviews, system walkthroughs and a data readiness check. We spend the time with the people doing the work, not only with leadership.

    Deliverables

    • Stakeholder interview notes
    • Data readiness summary
    • Long list of candidate use cases
  2. 02

    Prioritise

    2 weeks

    Each candidate is sized on cost, effort and return, then tested against your risk appetite and the capacity you actually have.

    Deliverables

    • Costed use case shortlist
    • Value and confidence model
    • Build, buy or park decision
  3. 03

    Plan

    1 week

    The shortlist becomes a sequence with owners, budgets, dependencies and the checkpoints where you decide to continue or stop.

    Deliverables

    • 12 month roadmap
    • Funding and staffing outline
    • Measurement plan

Next step

Talk it through with the team who would do the work.

A 30 minute call on ai strategy & roadmap, what it would take in your business, and whether it is worth doing at all.