AI Advisory

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

The AI market is loud. 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

Picking the AI that will move a KPI is the hard part.

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

What lands on your desk.

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 have a chat.

  • 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. 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.

Which AI use cases should we start with?
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Start with the use cases that will move a KPI your business already tracks. We’ll tell you which use cases are real, which are demo-ware, and which are a year early, so you 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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Closer to strategists, with delivery experience behind the advice. We’re a delivery consultancy that does AI advisory. We work alongside data, technology, and operating teams, and we partner with specialists for deep machine learning and data-science work where it’s warranted. Our strength is knowing what AI does and doesn’t land inside real businesses.

How do you handle AI governance and risk?
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Alongside the upside, from the start. The boardroom wants the upside; risk and audit want the controls. We frame both before anything is piloted, so governance shapes what gets piloted and AI lands with guardrails already in place.

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. 30 minutes, in plain English.

Book a 30-minute call