Consultancy
Strategy that fits on one page
You don't need a hundred-slide vision of your AI-powered future. You need a clear answer to a practical question: of everything AI could do for your business, what is worth doing first? And what is better left alone?
Most AI strategies fail in one of two ways. They try to do everything at once, or they stay so abstract that nothing ever starts. Both mistakes come from beginning with the technology instead of the work.
We begin with your operations. Where the time goes, where the errors come from, where knowledge sits bottlenecked in a few heads. Seen against that map, the good AI opportunities tend to be few, specific, and surprisingly unglamorous. Finding them precisely is most of the value. And because we sell no software and take no referral fees, you can trust that the answer wasn't shaped by someone's commission.
The shape of an engagement
From conversation to working proof
Understand the work
We talk to the people doing the work, rather than only their managers. The goal is a concrete map of where effort, delay, and error actually live in your processes.
Identify what AI changes
Against that map, we assess where today's AI moves the needle for you, weighing accuracy requirements, data readiness, privacy constraints, and cost. Many candidates fall out at this stage. That is the point of it.
Recommend a first step
You get a short, specific recommendation: what to do first, what it requires, what it should prove, and what to deliberately ignore for now. Written so you could act on it without us.
Prove it in practice
If you want to continue, we help you run that first step as a training program, a pilot, or a build, and we let the evidence decide what comes next.
Bring us a real problem
The more concrete your starting point, the more useful our first conversation will be. Even a frustration like "our team drowns in support email" is plenty.