As energy infrastructure grows more complex and safety-critical, ensuring that personnel authorised to work on high-voltage and mechanical systems are consistently trained, tested, and certified is becoming a governance imperative, not just an operational one. A leading UK energy provider is embedding standardisation, digitalisation, and AI into the core of how it trains and certifies its Senior Authorised Persons - turning a fragmented, manually managed process into a modern, intelligent governance system. This session explores how E.ON UK, together with Exxeta, has rebuilt its PAM training and certification framework from the ground up: transforming inconsistent, third-party-developed materials into a modular, governance-aligned training foundation, and layering on a fully digital, scenario-based testing and certification platform powered by AI.

Discover how E.ON has moved beyond static knowledge checks to a system that validates real operational decision-making, tracks certification validity automatically, flags renewals before they lapse, and gives compliance teams full audit-ready transparency at a glance.

What participants will learn:
• How to turn fragmented, inconsistent training content into a modular, role-specific framework aligned with evolving governance and design standards
• Strategies for building digital, scenario-based testing that validates real operational decision-making - not just theoretical knowledge
• How to design a certification lifecycle with automated validity tracking, recertification workflows, and escalation logic that slashes administrative overhead and strengthens compliance
• Practical insights into integrating an AI-powered learning and governance assistant that guides personnel through complex safety scenarios in real time