AI Without Governance: Risks Organisations Can No Longer Ignore
Deploying artificial intelligence in organisations creates considerable opportunities, but also new risks that traditional regulatory frameworks do not fully cover. Algorithmic biases, LLM hallucinations used in important decisions, confidential data leakage to external AI services, non-compliance with the European AI Act or data protection requirements: these risks are real and have already affected organisations across Europe and Switzerland.
AI governance is not a barrier to innovation. On the contrary, it is what enables AI to be deployed in a sustainable way, maintaining the trust of employees, clients and regulators. Organisations that establish a clear AI governance framework before large-scale deployment avoid costly incidents and reversals forced by regulatory requirements or dissatisfied stakeholders.
Governing AI Use in the Enterprise
The training Governing AI Use in the Enterprise is the essential entry point for any decision-maker or manager overseeing AI adoption in their organisation. It covers the fundamental principles of AI governance: identifying risks associated with different usage categories, European AI Act obligations for Swiss and EU companies, establishing an AI governance committee, defining approval levels by risk and creating a monitoring dashboard for AI deployments.
Writing an AI Usage Policy: the Foundational Document
The AI usage policy has become the reference document that many Swiss organisations adopt to govern their employees’ use of AI tools. The training Writing an AI Usage Policy guides you step by step through creating this document: inventorying the AI tools used in the organisation, classifying data by sensitivity, defining permitted and prohibited uses, validating new AI initiatives and internal communication for adoption. At the end of the training, you leave with a policy draft tailored to your context.
The European AI Act: Obligations for Swiss Companies
The European AI Act, which has been entering into application progressively since 2025, introduces new obligations for companies that use or develop AI systems. Although Switzerland is not an EU member state, Swiss companies operating in the European market or processing data of European residents are directly affected. Our AI governance training courses include an analysis of AI Act obligations: classification of AI systems by risk level (unacceptable, high, limited, minimal), transparency requirements and technical documentation obligations.
AI Training for Business Leaders: Strategic Oversight of the Transformation
The training Microsoft AI for Business Leaders (AI-3017) takes a strategic perspective on AI transformation. It is aimed at executive committees, CEOs and managing directors who need to make informed decisions about AI investments, understand the risks and opportunities over a 3 to 5 year horizon and define their organisation’s AI policy. This training provides the analytical frameworks for evaluating AI projects according to their business value and risk level.
Accelerating AI Transformation in an Organised and Responsible Way
The training Drive AI Transformation in Your Organization (AB-731) combines strategic vision with an operational action plan. It covers defining an AI roadmap, structuring an AI centre of excellence, change management for team adoption of AI tools and methods for measuring the return on investment of AI initiatives.
Security Copilot: Microsoft Certifications MD-4011 and SC-5006
Microsoft Security Copilot integrates generative AI into cybersecurity operations. The training Enhance Security Operations by Using Microsoft Security Copilot (SC-5006) is aimed at SOC teams wanting to use AI to accelerate incident detection and response. The training Enhance Endpoint Security with Microsoft Intune and Microsoft Copilot for Security (MD-4011) covers using Copilot for endpoint management. The training Prepare Security and Compliance to Support Microsoft 365 Copilot (MS-4002) is dedicated to administrators preparing a secure Copilot deployment.
Who These AI Governance Training Courses Are For
The training courses in this domain are primarily aimed at decision-makers and managers: executive committee members, HR directors, CIOs, compliance officers and DPOs, legal managers, innovation directors and internal AI champions. They have no technical prerequisites and are accessible to any professional with a responsibility in adopting or governing AI within their organisation.
Links with Other Domains to Complete Your Approach
Governance can only be exercised effectively if decision-makers understand what they are overseeing. Our Understanding Artificial Intelligence domain is recommended as a prerequisite to acquire the technical foundations needed for informed decision-making. For organisations deploying Microsoft 365 Copilot, the Copilot Studio and Microsoft Agents domain is complementary. For business teams applying AI in their function, the AI by Profession training courses naturally complement the governance approach.
AI Governance Training in Geneva, Lausanne and Virtual Classroom
These training courses take place in person in Geneva and Lausanne or as virtual classroom sessions. Sessions can also be organised as in-house training to train the entire leadership team or AI governance committee of an organisation. They are eligible for Temptraining funding for employees residing or working in Switzerland.