We work with leadership teams in organisations that are serious about using AI and data well, and increasingly aware of the cost of getting it wrong. That awareness is usually hard-earned — through money already spent, time already lost, or initiatives that have not delivered the returns that were expected. These are businesses that have moved past initial curiosity. They are now focused on making decisions that stand up commercially, and on avoiding further investment in work that does not justify itself.
You have probably already had a conversation with someone who walked away with more of your budget than you expected and delivered less than was promised.
You are not looking for another proposal. You want someone who will tell you what they actually think — including when the answer is: don’t do this.
You may be trying to decide whether a pilot is worth scaling. Or whether to continue with something that is clearly stalling. Or you may be weighing competing vendor proposals without confidence in the process used to assess them.
You need a clear read, quickly, from someone with no stake in the outcome.
The question is no longer whether to take AI seriously. It is how to act without making an expensive mistake.
You need outputs written for decision-makers, not for filing — work that gives you a defensible position, a clear next step, and a rationale you can stand behind.
Large consultancies are rarely built for businesses your size. Their frameworks, timelines, and fee structures are designed for organisations with bigger teams, slower decision cycles, and more room to absorb waste.
We work in short, defined engagements. No rolling retainers. No junior teams presented as senior ones. The person you speak to at the start is the person doing the work.
We can help you test the assumptions, sharpen the questions, and avoid paying for the wrong thing.
See why timing matters now, and why internal AI decisions are becoming harder to defend without an independent view.