Most AI projects stall not on technology, but on choices: which process, which data, which boundaries. We map that out, choose the use cases that matter, and keep it safe and explainable.
We do not write bulky strategy documents that end up in a drawer. Every engagement delivers choices, guardrails and a first working result.
We inventory your processes, score use cases on value and feasibility, and choose together where you start. Not 30 ideas, three that matter.
GDPR, data flows, model hosting and logging, in writing up front, together with your DPO. Plus when a human has the final say.
Which models, which integrations, build or buy. We design a setup that fits your stack and budget, and that your team can manage itself.
The hardest step: from pilot to daily use. We anchor knowledge with an internal owner, so it becomes yours, not ours.
Start small, prove fast, then scale. No open-ended engagements.
Two weeks: map processes, score use cases, pick one concrete starting case. Ends with a clear business case.
Lock down privacy, governance and data flows with your DPO. In writing before a line of code is written.
The first use case to production, not a prototype. Weekly demos, your team watches and learns along.
Documentation, an internal owner and a follow-up roadmap. We step out, you carry on.
From a short exploration to a full implementation engagement. Each ends with something tangible.
A quick snapshot of where AI pays off in your organisation, and where it does not.
From roadmap to one working use case in production, including governance.
Multiple use cases, multiple teams, we run alongside you for a few months.
No sales pitch. We look together at where AI delivers most in your organisation, and what a first engagement would cost.