Before: agree on participants, experience and a shareable work sample.
An action plan with three priority uses and next steps
AI Workshop · Zurich
We want to understand what AI could change in our business and where to start.
Leaders and teams understand the implications, experiment on their work and choose priorities.

WHAT WE DO
The AI Workshop in Zurich lets your team test practical tasks with anonymised documents and choose a useful first experiment. Participants leave with a working method and review criteria before buying or building a solution.
Example to discuss in Zurich: find a procedure in financial-services documentation. During the workshop, participants use an anonymised sample, write an instruction and compare two outputs against their own reference. The outcome is a decision about usefulness and the checks required, rather than a deployment.
Illustrative working example — not a client caseChoose participants, share approved examples and plan attendance. Up to 20 people per group.
During: practise, compare responses and record mistakes.
A sheet on data and checking results
HOW IT TYPICALLY RUNS
Preparation, facilitation and materials are included. Tool setup and integrations require a separate assignment.
An action plan with three priority uses and next steps
Reusable instructions for the tasks practised
A sheet on data and checking results
Bring an anonymised example, the usual time spent on the task and the tools already approved. Format, participants and remote or on-site arrangements are confirmed in the proposal. Read the preparation guide ↗

WHY THIS MATTERS HERE · Zurich
Switzerland’s leading financial centre, Zurich is also home to insurers’ head offices and B2B software vendors; ETH, in the city itself, trains many of the region’s technical profiles.
Zurich is the country’s leading business centre: Paradeplatz and the big banks, the insurers’ head offices, ETH and its spin-offs, the Zürich-West and Oerlikon districts where software vendors and the offices of technology groups settle, Kloten airport twenty minutes away. A Zurich SME, whether a fiduciary in Kreis 1, an insurance broker in Altstetten or a SaaS startup at Technopark, operates in an environment where quality and speed expectations are high and where English is often the working language of technical teams.
In Zurich, typical use cases concern documenting internal procedures in regulated financial services, answering the compliance questionnaires of large clients, qualifying support tickets and automating data entry between a CRM and an invoicing tool. In all these cases the human validation point must be explicit, because mistakes are costly and visible.
These references inform the approach; they are not client endorsements or legal advice.
QUESTIONS BEFORE YOU START
No. Exercises are adapted to the starting level. A shareable document and a real task are enough to prepare a useful session.
You can select a limited trial, its owner and success criteria. Connecting business systems requires separate scoping.
A half-day or full day depending on the participants and exercises. Location, any travel and scope are agreed before confirmation.
Neighbouring cities served · AI Workshop
Each city has its own page, with the same scope and the same price grid; only the local context changes.
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Tell us which task is slowing the team down, who does it today and what a good result would look like. We will confirm scope, availability and budget before any work starts.
No work starts before scope and budget are agreed.