Topic
Turn AI governance and the EU AI Actinto operational practice
Responsible AI use needs clear ownership, proportionate controls and an operating model that connects regulatory obligations with product and process decisions.
AI governance at a glance
- Create transparency over AI systems, providers and accountable owners
- Prioritise obligations and risks by actual use context
- Integrate controls, approvals and evidence into existing workflows
What robust AI governance delivers
The goal is not another rulebook beside the work, but a practical framework for decisions, controls and evidence.
Transparency over AI use
A reliable inventory shows which systems, models and providers are used in which processes.
Clear accountability
Roles for approval, operation, monitoring and escalation are connected to existing decision paths.
Proportionate controls
Controls reflect purpose, risk, data, affected people and the system's actual use.
Evidence of implementation
Decisions, training, disclosures and reviews are documented so they remain internally verifiable.
From AI inventory to an operational governance system
The starting point depends on your situation and connects regulatory interpretation with operating model, product work and organisational change.
DACH context without false certainty
Operational design depends on use context, sector and jurisdiction. The framework must work across borders without obscuring national differences.
EU AI Act obligations meet national information and supervisory structures. The RTR AI Service Desk provides Austrian guidance.
The same EU framework applies in Germany. Integration with compliance, product, works council and procurement processes is what makes it operational.
Switzerland currently has no overarching AI-specific law. EU obligations can still matter in practice for cross-border services and EU markets.
Ways to engage
The right starting point depends on whether transparency, a shared target model or concrete controls are missing first.
AI governance workshop
Clarify the AI landscape, priorities, ownership and next steps in a focused working format.
Explore workshopsConsulting
Develop governance, operating model, roles and decision paths and support implementation.
Explore consultingTraining
Prepare leaders and teams for responsible use, transparency and organisational requirements.
Explore trainingCoaching
Support accountable leaders with difficult decisions, role clarity and change in daily leadership.
Explore coachingRegulatory status and primary sources
Status: 26 July 2026. The European Commission published its Article 50 guidelines on 20 July 2026; according to the Commission, the transparency obligations apply from 2 August 2026. These links support orientation and do not constitute legal advice.
Frequently asked questions about AI governance
Connect governance with execution
AI governance becomes effective when strategy, product decisions, operating model and capability building reinforce each other.
Apply AI governance to your organisation
In an initial call, we clarify your starting point, urgency and a sensible first scope of work.
Book an initial call