AI consulting that ends in a working system.

Almost every leader I meet feels both at once: a clear sense that AI matters, and a sense of being overwhelmed by it. Every vendor now sells “AI”. Every newsletter announces the next model. And somewhere in between sit real questions nobody has had time to answer: How can AI become more for your people than another chatbot? What actually makes AI agents different from the automation that has been running in your business for years? Which of this is relevant to a company your size, and which is noise?

What I offer is clarity: an overview of the possibilities that are genuinely relevant to you, in plain language, and clear first steps that pay off right away. Not a slide deck about the future of work – a short list of things worth doing in your business, and an honest word about the things that aren’t.

Before AI even comes into it, there are a few honest questions to answer: where does the information live that the business can’t run without? Can people find it when they need it? Does it all fit together? More often than not, what turns up is a mess that has grown over the years: key figures in a spreadsheet on one person’s laptop; tools everyone depends on but nobody likes; knowledge that lives only in a handful of heads. It has all “somehow worked” so far – a credit to well-drilled teams, or to elaborate integrations quietly keeping everything in sync.

So we start by tidying up together: how many sources and tools do we actually need? What can be pulled into a single source of truth? And what does your team need to work well with it? Only on a clean foundation can AI live up to its promise – an assistant that answers from your documents is only as good as the documents, and one that reads your pipeline is only as good as the pipeline.

Every business is different, but the places where AI earns its keep look remarkably similar across companies. These are the ones I see most often – and have built.

It starts with a picture of your business: the model, where the value is created, the everyday processes and the data they run on, along with your biggest pain points. Then, together with you, I find the places where AI can make a real difference. What comes out is a clear, honest overview – what’s worth doing, what isn’t, and what to watch out for. The overview is not the deliverable, though. The working system is.

From there we pick one thing and build it: a solution hooked into the tools you already use – your CRM, your email, your files, your project system – that your team can work with. Once it’s live, I help you keep it in good shape and grow it as your needs change. Prefer to keep it in your own hands? Enabling your team is part of what I do, so the know-how stays in-house and keeps growing.

AI shouldn’t be something you have to trust blindly. I build systems whose decisions stay traceable and that can be paused at any time. The decisions that matter most are still made by people – exactly as the GDPR requires for automated decisions with a significant effect. And you decide where your data lives and which paths it’s allowed to take, so compliance isn’t an afterthought – it’s part of the architecture.