AI CONSULTING
Most AI consultancies talk in buzzwords and have never shipped anything that delivers real client value. We do the opposite. We work out where the major cloud providers' models can make your business measurably more productive, then build and support the integration around your data, so the AI does specific, repeatable jobs.
We start every AI engagement with the same five questions: what specific task is this AI doing, what data does it need access to, how do you measure if it's working, how do you handle the cases it gets wrong, and who owns the model and the data underneath?
If those don't have clear answers, the project doesn't get built. That's the difference between AI that pays for itself in three months and AI that gets quietly switched off in six.
Embedding Claude (and similar models) into client products to give your users smarter experiences, summarisation, search, drafting, analysis, not just an AI checkbox.
Specific, scoped agents that handle repeatable jobs, triaging support tickets, processing inbound documents, drafting responses, summarising calls, integrated securely with your business data.
Custom interfaces over your own data, letting your team ask questions, run analyses, or generate reports without needing a developer in the middle.
You're probably already paying for Copilot. We help your team use it, identifying the highest-value workflows and rolling out training that sticks.
See Microsoft 365 →AI-powered automations that go beyond rule-based logic, making judgement calls, classifying inputs, escalating exceptions. Where workflow automation ends, AI agents begin.
See Workflow Automation →Workshops, leadership briefings and roadmaps that turn AI from a buzzword into a quarterly result, built around the jobs your team actually does.
We build AI the same way we build software, with a specific job in mind, a clear way to measure it, and a team that sticks around.
Not "let's add AI". A specific, measurable job, and a definition of done. That's where the conversation always starts.
Your AI needs your data to be useful, and your data needs proper guardrails. We integrate with the major cloud AI platforms and build the controls around them, so your data is handled the way you'd expect on any production system.
Modern AI tooling means a useful first version in weeks. We get something running, measure it against the goal, then improve it.
AI tools only work if your people use them. We embed training and change management, the difference between an AI that ships and an AI that sticks.
Book a scoping call. We'll walk through the five questions with you, then tell you honestly whether to build it, wait, or skip it. No-obligation, no-buzzwords.
Book an AI scoping call