Regulation. Compliance. Confidence.

AI regulation in Switzerland — what's changing, what it means, and what to do about it.

The Regulatory Challenge

Artificial intelligence is playing an increasing role in financial services, healthcare, and public administration. Regulators in those sectors are asking organisations to provide evidence that their AI systems perform reliably and consistently, and that performance is continuously monitored.

How Mavai® Can Help

If your organisation uses non-deterministic AI in a context where you need to demonstrate how reliably it performs, detect performance changes, or provide evidence to risk, quality, audit or regulatory functions, Mavai may be relevant to you.

Mavai.ch is the sister website of the Mavai® project family, and it tracks developments in AI governance and the expectations of regulators and standards bodies such as the EU AI Act, ISO/IEC 42001, FINMA, and the FDA. Mavai.ch supports you by keeping up with the requirements, while mavai.org holds the methodologies that help you address them.

See how the Mavai methodology supports specific requirements and the probabilistic testing methodology behind it.

Any questions? Contact us.

Key Topics

FINMA & Banking

How FINMA's expectations around model risk management and AI governance affect Swiss financial institutions — and what demonstrable testing evidence is required.

ISO 42001

The international standard for AI management systems. What it demands in terms of performance measurement, monitoring, and continuous improvement of AI systems.

Probabilistic Testing

Why traditional pass/fail testing cannot satisfy regulatory demands for AI. An introduction to statistical approaches that produce auditable, reproducible evidence.

Recent Insights

The EU AI Act Enforcement Begins: What Swiss Organisations Need to Know

Starting 2 August 2026, the European Commission’s AI Office and national authorities begin enforcing the AI Act. New transparency rules require AI systems to disclose their nature to users, and AI-generated or altered content must be labelled and machine-readable. Swiss organisations building or deploying AI systems—especially those with EU customers—need to understand the enforcement structure and their obligations.

UN Meetings Expose the Tensions That Could Shape Global AI Governance

UN meetings in April exposed four tensions shaping AI governance: who has the infrastructure and capacity to develop AI, how data should be governed across borders, whether developing countries can access and transfer technology, and whether regulation steers or constrains innovation. These questions will dominate July’s global AI summits—and the answers could shape international AI policy for years.

Microsoft 365 E7 and Copilot: What Swiss Private Banks Should Consider

Microsoft 365 E7 makes AI-assisted productivity commercially accessible for the front office. But for a Swiss private bank, the licence is the easy part. Confidentiality, data sovereignty, FINMA expectations, and the US CLOUD Act all shape whether — and how — Copilot can be deployed safely.

Baseline · Monitor · Comply

Regulation sets the obligation. The Mavai® methodology meets it: a statistical baseline for each AI service, continuous monitoring against that baseline, and a method documented in public. The open-source tools and the full method are on mavai.org.

See how Mavai helps