EVS is a global technology company that provides live video production, replay and content management solutions for broadcasters, media organisations and major live events worldwide. At EVS, our AI journey began with a Copilot M365 Proof of Concept. The objective was to measure how Copilot could support employees in real operational tasks, identify concrete efficiency gains, and detect risks related to data access, confidentiality and governance. The PoC generated strong adoption from users and quickly showed that moving forward required more than simply distributing licenses: it required structure, clarity and education.

Discover how EVS expanded beyond this initial PoC by deploying a fully structured Copilot enablement program built around training sessions, onboarding materials, usage guidelines and practical demonstrations adapted to each department. These training tracks played a central role in ensuring responsible, consistent and effective use of AI across the organisation.

As usage increased naturally, EVS recognised the need for a sustainable and coordinated model to manage experimentation, ensure compliance, and align local initiatives with company?wide objectives.

Learn how EVS designed and deployed its Corporate AI Initiative, a company?wide framework combining governance, security and innovation. This framework includes a federated AI governance model with:

-an AI Council responsible for maintaining the inventory of AI initiatives and preventing duplication,

-AI Exchange Groups connecting departments to share practices and explore new use cases.

EVS also defined a clear operational process: departments can experiment with validated AI tools while following internal rules, including the code of conduct, cybersecurity policy and mandatory legal/security assessments for new AI solutions. Standardised workflows were introduced for creating Copilot?based AI agents and for reporting initiatives to the AI Council.

Understand how EVS progressively increased its AI maturity – from individual experiments to a structured, policy?driven and scalable approach. The session will detail how EVS manages adoption at scale, addresses shadow AI, manages data?quality dependencies, supports department?level autonomy, and transitions from isolated prototypes to enterprise?ready AI capabilities.

Uncover the practical lessons learned throughout this transformation: how to create guardrails without hindering innovation, simplify security reviews, empower motivated teams, maintain alignment across departments, and ensure AI delivers measurable value while preparing for regulatory requirements.

This case study is based entirely on real, practical experience inside EVS, and presents insights and organisational patterns that cannot be reproduced in a simple blog post.

Assumed Knowledge:

Participants should be familiar with basic Microsoft 365 concepts (like documents, permissions and security), understand how cloud tools are used in an organisation, and have a general awareness of how AI can support everyday work.

Practical Takeaways:

Participants will leave the session with a clear understanding of how to identify where to start with AI, set up simple processes to evaluate and track AI initiatives, organise collaboration between departments, establish practical guardrails, and plan a realistic AI rollout.

Out of Session Scope:

This session will not cover fine?tuning LLMs, advanced machine?learning engineering, Azure pipelines, detailed legal interpretation of the EU AI Act, step?by?step Copilot configuration or plugin development, nor any coding tutorials or technical model implementation guides.