Overview

Your employees are already using AI at work

The question is whether you know where your company's data goes. For most teams, it flows into personal ChatGPT or Copilot accounts, with no approval, no policy, and no decision made by leadership.

AsofAugust2026,theAIAct'stransparencyobligationsarealreadyineffect.Thestricterhigh-riskrequirementslandinDecember2027.

- Art. 50, AI Act

Our Approach

Two pathways.

AI governance sounds like a major undertaking. In practice, it rarely is. These two paths run independently and not every company needs both.

AI Usage

This path is designed for the whole organization and can start right away. The outcome: Documented, approved AI use across the entire company.

Enterprise Licensing

Approved enterprise licenses replace personal accounts, closing off a large share of the data protection risk on their own.

Policy & Compliance Framework

A usage policy, a GDPR framework, and a data processing agreement under Art. 28 make sure AI use isn't just permitted, but properly safeguarded.

Demonstrable AI Competence (Art. 4)

A legal requirement since 2025 — and with the right approach, not a major hurdle for any role.

Custom AI

For processes that don't fit a standard solution, there's a structured path.

Stage 1 — Company GPT / Copilot Studio

Built on your own documents. Delivers measurable value in the short term.

Stage 2 — Vertical Applications

AI applied to specific business processes — part of concrete workflows, not just a general-purpose tool.

Stage 3 — Your Own AI Platform

API access, model choice, governance, and cost control — for using AI strategically rather than case by case.

Stage 4 — Proprietary Models & Fine-Tuning

Relevant for a small subset of companies.

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