AI Strategy Consulting

AI strategy consulting, grounded in strategy.

AI is moving from experiment to enterprise — but the organisations capturing value are the ones that started with strategy, not with tools. I help executive teams find where AI genuinely creates value, sequence it into a practical roadmap, and build the leadership confidence to govern it.

The Ironbark position

AI augments good strategy. It cannot rescue a weak one.

Most AI programmes stall for the same reason: they begin with the technology and go looking for a problem. I start from your strategic priorities and work back to where AI is a genuine lever — for decisions, productivity, customer experience, and commercial performance. That discipline is what separates a portfolio of pilots from a durable advantage.

AI opportunity · Matrix
01

AI opportunity assessment

Find the value before the spend.

I map where AI can improve decisions, productivity, customer experience, and commercial performance across your organisation — and, just as importantly, where it shouldn't be used. The output is a prioritised view of AI opportunity grounded in your business context, not a vendor list.

What this includes

  • AI decision inventory — where AI can improve or automate decisions
  • Value sizing and prioritisation of candidate use cases
  • Feasibility, data readiness, and risk assessment
  • A defensible view of where not to invest
AI opportunity · Matrix
02

AI roadmap development

A practical path from pilot to scale.

An AI roadmap that sequences ambition into achievable steps: which use cases first, what capabilities and governance each step needs, and how value is measured along the way. Built to survive contact with budgets, boards, and competing priorities.

What this includes

  • Use case prioritisation and sequencing
  • Pilot-to-scale pathway with decision gates
  • AI governance, risk, and adoption approach
  • Benefits case and value tracking
Roadmap · Value tracking
03

Executive AI literacy

Confident decisions at the top table.

Boards and executive teams are being asked to make consequential AI decisions with little grounding in what the technology can and cannot do. I build that grounding — practical, jargon-free working sessions that equip leaders to interrogate proposals, set direction, and govern AI with confidence.

What this includes

  • Board and executive working sessions
  • What AI can and cannot do — in business terms
  • Interrogating AI business cases and vendor claims
  • Setting governance, guardrails, and decision rights
Executive session · Decision support

How I approach it

Advice you can act on — and defend to your Board.

01

Strategy first, then AI-enabled

AI augments good strategy; it cannot substitute for it. Every engagement starts with your strategic priorities, then works back to where AI genuinely moves them.

02

Business outcomes, not technology

The question is never "which model?" — it is "which decision, workflow, or customer experience improves, and by how much?"

03

Independent and vendor-neutral

No platforms to sell and no partners to favour. Advice that stands or falls on whether it creates value for you.

04

Built to be embedded

The engagement ends with your team owning the roadmap, the governance, and the capability — not dependent on a consultant.

Work typically follows the Ironbark method — Discover, Decide, Design, Deliver, Embed — described in full on Practice & Approach, adjusted in depth and sequence to the engagement.

Begin a conversation

Clarify the next strategic move.

For organisations and leaders navigating strategy, transformation, or AI-enabled change, Ironbark begins with a confidential conversation to understand the problem and identify where value can be unlocked.

Request a confidential consultation