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EU AI Act in Practice: How ENBW Approaches AI Governance
- Validaitor
- 2 days ago
- 2 min read
The EU Artificial Intelligence Act (EU AI Act) is set to fundamentally change how organizations design, deploy, and govern AI systems. For many companies, the challenge is no longer whether AI governance is needed, but how to operationalize AI Governance, Risk & Compliance (AI GRC) in a way that enables innovation while meeting regulatory expectations.
To explore this challenge from a practical, enterprise perspective, we recently hosted a webinar focused on AI governance in practice, featuring real‑world experience from a large European energy company. In this webinar, Maximilian, Group Expert Data & AI Legal Officer at EnBW Energie Baden‑Württemberg AG, shares how EnBW approaches AI governance and AI GRC in a complex, highly regulated environment. His role sits at the intersection of AI regulation, data protection, technology, and corporate governance, making his insights particularly relevant for organizations preparing for EU AI Act compliance.
Watch the full webinar recording here:
AI Governance and EU AI Act as a change management
A key theme throughout the session is that AI governance is not a static framework, but an operational capability that must scale across teams, use cases, and suppliers.
The webinar explores:
How AI governance evolves once AI moves into core business processes
What EU AI Act readiness means beyond legal interpretation
How AI GRC structures affect developers, product teams, and business owners
Why AI governance must align legal, technical, and business perspectives
Rather than positioning governance as a bottleneck, the discussion highlights how effective AI governance can act as a business enabler—providing clarity, reducing risk, and supporting responsible innovation.
AI GRC and vendors
Modern AI systems often rely on external vendors, cloud platforms, and foundation models, making AI GRC significantly more complex. The webinar addresses how organizations can:
Integrate AI risk management into procurement and vendor management
Handle accountability when AI components are sourced externally
Build scalable governance processes for third‑party and foundation‑model‑based systems
Leadership and culture
Another recurring question is how to gain internal buy‑in for AI governance initiatives. The session discusses:
How to involve AI and product teams early in governance processes
How leadership framing influences adoption—compliance obligation vs. strategic capability
These insights are critical for companies looking to embed AI GRC into existing governance, risk, and compliance structures without slowing innovation.
Webinar format and discussion topics
The session is structured into:
A focused presentation: How ENBW Approaches AI Governance
A panel discussion covering EU AI Act readiness and AI Governance
A live audience Q&A with practical, real‑world questions
If you are currently working on EU AI Act readiness, designing AI governance frameworks, or strengthening your AI GRC capabilities, this session offers concrete, experience‑based insights you can apply immediately.
