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What we do

AI Strategy & Roadmap

A business-led AI strategy that translates ambition into priorities, investment choices, governance requirements and a practical 90-day operating plan.

The leadership challenge

A list of tools is not an AI strategy.

Strategy begins with business outcomes, not models or platforms.

We help leadership decide where AI matters, what must be true, what to prioritise and how the organisation will move from intent to execution.

  • No shared definition of value
  • Competing departmental priorities
  • Technology choices made before operating decisions
  • No sequenced plan or accountable owners

Scope

What the strategy covers

Business ambition

Define the outcomes AI should create across growth, productivity, customer value, risk and capability.

Opportunity portfolio

Identify and rank opportunities using business impact, feasibility, time-to-value, risk and adoption complexity.

Operating model

Clarify ownership, decision rights, governance, funding and execution cadence.

90-day roadmap

Turn strategic direction into named initiatives, owners, milestones and measures.

Operating model

From ambition to an executable roadmap

The work is structured to create decisions, not a strategy document that sits unused.

  1. 01

    Align leadership

    Clarify ambition, constraints and executive expectations.

  2. 02

    Discover opportunities

    Map processes, pain points, data, systems and current AI use.

  3. 03

    Prioritise

    Build a rational portfolio and explicitly identify what not to fund.

  4. 04

    Design the operating model

    Define governance, ownership, technology principles and measurement.

  5. 05

    Mobilise

    Create the 30/60/90-day plan and executive cadence.

Relevant experience

Strategy informed by execution experience.

Darren's background is not limited to strategy development. It spans operating models, major programmes, commercial management, cloud, automation, enterprise delivery and transformation.

That experience keeps the roadmap connected to what happens after the presentation: ownership, funding, delivery decisions, operating change, adoption and measurable outcomes.

Meet Darren

Operating models

Programme and commercial leadership

Cloud and automation

Enterprise transformation

Complex delivery

Fit

This work is right when

  • The board is asking for an AI strategy
  • AI projects are fragmented
  • Leadership cannot agree what to prioritise
  • Investment is moving faster than governance
  • Teams need one practical roadmap

Measurement

What you receive

Outcome 01

Executive AI ambition and principles

Outcome 02

Prioritised opportunity portfolio

Outcome 03

Operating model and governance design

Outcome 04

Technology and vendor principles

Outcome 05

90-day roadmap with owners and measures

Outcome 06

Board-ready strategy summary

A clear next step

Move from AI activity to a coherent strategy.

Book an AI leadership conversation to discuss where strategy is unclear and what decisions need to be made first.