AI Governance Advisor.

Makes your AI deployment EU AI Act-compliant — pragmatic rather than paperwork-heavy.

Remote & on-site DACH-wide
AI Governance Advisor — enquire

An AI governance advisor ensures that your AI deployment holds up to regulation: they classify your use cases according to the risk categories of the EU AI Act, establish the required processes — from documentation and human oversight to staff AI literacy — and embed governance in a way that accelerates projects rather than stifling them.

Since the obligations of the EU AI Act have come into effect in stages, the topic has moved from the boardroom slide deck to an operational task. The art lies in proportion: over-compliance is paralysing, while ignorance creates liability. Good governance advisors know both failure modes — and the narrow, workable path between them.

01

EU AI Act impact assessment

An inventory of your AI systems, classification into risk categories, a catalogue of obligations per system — delivered as a prioritised action plan with deadlines.

02

AI policy & approval process

Workable rules for the procurement, development and use of AI — including an approval route that takes days rather than months.

03

Building demonstrable AI literacy

A training concept in line with Art. 4 of the EU AI Act: role-specific, documented, repeatable — rather than a one-off mandatory session.

04

Governance for agentic systems

When AI acts autonomously, oversight needs new forms: intervention points, logging, allocation of accountability.

Core competencies
EU AI Act (risk categories, obligations, deadlines)GDPR interfacesProcess designRisk managementTraining concept design
Tools & frameworks
AI inventories/registersConformity assessmentDocumentation frameworksDPIA methodology
Plus factors
Legal backgroundISO/IEC 42001Sector-specific regulation (BaFin, MDR)
How do you classify an internal RAG system under the EU AI Act?
A concrete practical test: the answer should demonstrate the classification logic and identify borderline cases, rather than blanketly declaring high-risk.
How do you prevent governance from becoming a project killer?
Risk-based tiering, standard approvals for low-risk cases — anyone who merely adds controls has missed the objective.
What do you document for an agentic system — and what do you deliberately not document?
Sense of proportion: mandatory documentation yes, documentation theatre no. Knowing where the line lies is the competence.
How do you keep your regulatory knowledge up to date — and where does your technical understanding come from?
Testing both flanks: delegated legal acts and standards on one side, hands-on AI practice on the other.
What does an AI governance advisor cost as a freelancer?
Based on our market observations, hourly rates in the DACH region in 2026 range between 120 and 170 euros — profiles combining regulatory AND technical depth are the most sought-after.
Does the EU AI Act also affect mid-sized companies?
Yes — the obligations apply regardless of company size and take effect in stages. Even the use of common AI tools triggers obligations, for example regarding staff AI literacy; high-risk applications add an extensive catalogue of obligations.
What happens in the event of breaches of the EU AI Act?
Substantial fines may apply — depending on the breach, reaching into the tens of millions of euros or a percentage of global annual turnover. More relevant in day-to-day practice: unclear governance delays projects and creates personal liability risks for decision-makers.
Isn't our GDPR compliance sufficient?
No — the EU AI Act addresses different questions: risk classification of AI systems, human oversight, transparency and documentation obligations. GDPR and the AI Act overlap, but they do not replace one another.

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