Your organisation is using AI. But who is governing it?
Governing AI in Swiss Organisations — From regulatory obligations to operational controls.
A three-hour executive working masterclass that turns AI governance requirements into accountable decisions, risk controls and audit-ready evidence.
AI adoption is accelerating. Governance must keep pace.
Swiss organisations are deploying AI across financial services, HR, customer operations and core business processes. Cross-border EU requirements, Swiss data-protection obligations and sector-specific supervisory expectations make accountable governance increasingly important.
This session helps you understand which requirements apply, where governance gaps emerge and how to put proportionate controls in place.
Three hours. Four practical outcomes.
Build your AI inventory
Identify AI systems and use cases, assign ownership, and establish the foundation for organisational oversight.
Classify AI risks
Work through practical cases, including AI-based recruitment, customer-facing chatbots, credit scoring and operational AI systems.
Design governance controls
Translate risk assessments into proportionate policies, human oversight, accountability and auditable control evidence.
Develop a 90-day action plan
Prioritise governance improvements and identify the evidence your management, board and independent reviewers will need.
Leave with a practical AI governance starter framework.
You take away an AI inventory template, a risk-classification worksheet, a control checklist and a 90-day action-planning tool.
Who should attend
This masterclass is built for the people accountable for how AI is deployed, overseen and assured:
- Chief Risk Officers and enterprise risk teams
- Compliance, legal and data protection officers
- CIOs, CTOs and AI transformation leaders
- Internal audit and technology risk professionals
- Model risk and AI governance managers
- HR, operations and business leaders responsible for AI-enabled decisions
It is designed for professionals accountable for AI deployment, oversight or assurance, not for beginners seeking introductory AI training.
Powered by practical AIVARA governance methods
You will work through a structured, control-based approach to AI governance, informed by ISO/IEC 42001, the NIST AI Risk Management Framework, the EU AI Act and applicable Swiss requirements.
Facilitators
Dr Nisha Kohli
Founder & CEO, CorpStage
CA | CFA | PhD, Corporate Governance
AI governance, enterprise risk, corporate governance and sustainability technology.
Ian Betts
Digital Energy Solutions
Industry data, open standards, digital transformation and critical infrastructure.
Dates, places and fees
Founding-cohort individual
Two colleagues
Three colleagues
Your place includes practical case exercises, governance templates, refreshments, a CorpStage completion record and a fee credit towards the AIVARA Learning Series, subject to its published terms.
An independent CorpStage executive masterclass. Corporate invoices are available. Full refund if the organiser cancels. Participation does not confer professional certification.