Independent Data & AI Strategy

Statistically
Significant

Clear strategy. Practical delivery.

I work with leadership teams in mid-sized companies (200–2,000 people) to turn data and AI ambition into clear, executable strategy. Practical advice, grounded in real experience, designed to work in your world.

Genuinely independent Senior-level perspective Your outcomes first
Who this is for

CEOs, COOs & senior leaders

  • You know data and AI matter, but you're not sure where to start.
  • You want clarity on what's worth investing in — and what can wait.
  • You need a plan your team can actually deliver, not just admire.

Straight answers from someone who's been there.

Genuinely independent

No vendor relationships, no hidden incentives. I recommend what I'd do myself — including when the best move is to pause, simplify, or do nothing for now.

Business-first thinking

I talk to boards and finance teams in their language. Every recommendation connects to revenue, cost, or risk — not just technical elegance.

Plain-spoken

I'll tell you when an AI idea is more theatre than value. When a strategy sounds good but won't work. When you're overcomplicating it. Good ideas deserve honest feedback.

Done the job

I've led data teams, managed platforms, and dealt with stakeholder pressure. I know where good plans get stuck and how to unstick them.

01

Data & AI Strategy

Defining coherent, actionable strategies that connect data ambition to real business outcomes — from scratch or from a standing start.

02

GenAI & Platform Advisory

Independent guidance on where generative AI creates genuine value, and which platforms and tools will serve you without the vendor spin.

03

Organisation & Investment

Building the internal case for data investment and designing the operating models, teams, and ways of working to make it stick.

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Not ready for a call yet?

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Practical thinking for leaders working through data and AI decisions.

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Insight 01

Your business wants AI, but your data foundations are patchy

AI ambition is easy to generate. Trustworthy execution is harder.

Many organisations are pushing toward copilots, agents, and automation while still dealing with fragmented data, fuzzy ownership, and governance that is either missing or obstructive.

This piece looks at what usually needs sorting before AI ambition becomes something credible, safe, and worth scaling.

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Read the full article on the insights page

The complete piece is freely readable there, along with a second insight on platform adoption and what usually gets in the way.

Read the full insight

Ready to talk through what this could look like in your business?

I work closely with a small number of clients at any one time, so if you want thoughtful, practical input on where to focus first, I’d love to hear a bit about your situation.

Let’s talk