AI Advisory

AI as a teammate, not a threat to a job description.

The AI market is loud. We're not. We test before we recommend.

We'll tell you which use cases will actually shift a KPI, which are demo-ware, and which are a year early. You'll leave knowing what to do, what to wait on, and what to walk away from.

/ 01The problem we solve

The AI market is loud. Most of it won't move a KPI.

Demo-ware looks great until it meets your data, your governance, and your operating model.

We separate what's real from what's a year early, and frame the upside with the controls your risk team needs.

/ 02How we work

Structure first, then momentum. We embed quickly.

1

Test before we recommend

We separate what shifts a KPI from demo-ware and what's a year early.

2

Frame upside and guardrails

We set out the value and the controls, for the boardroom and the risk team.

3

Land it in delivery

We put AI into how you build, not just the product — with the right governance.

/ 03What you get

Concrete, not a methodology PDF.

1

A real strategy, not a deck

Advice from people who've shipped AI in real businesses.

2

Use cases worth doing

What to do, what to wait on, and what to walk away from.

3

AI inside delivery

Faster requirements, better testing, smarter reporting — not just product features.

4

Governance and risk framed

The upside the board wants with the controls audit needs.

/ 04Signals you need this

If two or more sound familiar, let's talk.

  • The board has asked for an AI strategy and you need a real one.
  • You're evaluating a major AI investment and want a second opinion.
  • You're rolling out AI tooling and adoption is wobbling.
/ 05Common questions

The questions we get before we start.

What is AI advisory?
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AI advisory is independent guidance on where AI will move a business metric — and where it won't. It covers strategy, use-case selection, governance, and the implementation that follows. We test tools against your data and operating model before recommending them, so you invest in what earns its keep, not what demos well.

Which AI use cases should we start with?
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The ones that move the needle for your business — not the ones that demo well. We’ll tell you which use cases are real, which are demo-ware, and which are a year early. You’ll leave knowing what to do, what to wait on, and what to walk away from.

Are you data scientists or strategists?
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We’re a delivery consultancy that does AI advisory — not a research lab and not a model-builder. We work alongside data, technology, and operating teams; we partner with specialists for deep ML/data-science work where it’s warranted. Our edge is knowing what AI does and doesn’t land inside real businesses.

How do you handle AI governance and risk?
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Together. The boardroom wants the upside; risk and audit want the controls. We frame both from the start — so AI lands with the right guardrails, not the right hopes. Governance shouldn’t arrive after the pilot, it should shape what gets piloted.

Program stuck?

Need a real AI strategy?

Bring us the deck the vendor sent. We’ll tell you what’s real, what’s a year early, and what to do this quarter. Thirty minutes, no jargon.

Book a 30-minute call