Future-Proofing Physical AI Systems for Certification Readiness

Overview 
How do you develop AI-driven systems today that set you up for certification success in the future? 

With TÜV Rheinland, Reynolds & Moore, and Qt Group joining forces, this 45-minute webinar provides a practical roadmap for preparation and best practices helpful in avoiding system certification becoming a bottleneck.

Traditional functional safety standards such as IEC 61508 provide the foundation for assuring the safety of programmable electronic systems. However, they are built on assumptions of deterministic behavior and relatively static system designs, where failure modes are known and well understood. AI challenges these assumptions, so emerging safety standards are therefore evolving to close this gap by ensuring that AI algorithms operate safely when deployed in safety-critical physical systems. 

Waiting until late in the project to verify compliance with existing standards and postponing consideration of emerging AI standards until they are mandatory can result in costly redesigns, delayed market entry, and unnecessary compliance challenges. This session will show you how to take proactive and strategic steps now to prepare efficiently for the certification process. 

What This Webinar Covers 
This webinar shares insights on designing AI-driven systems ready for future certification, toolchains that support your engineering team, and how the certification process is likely to be structured. 

What You’ll Learn:  

• What is the upcoming ISO/IEC 22440: its scope, intent, and why it matters for AI in safety-critical systems. 
• Testing and certification readiness: TÜV Rheinland will outline the certification process, what testing bodies will be looking for, and how to close common gaps before formal assessment begins. 
• Design it right from the start: Reynolds & Moore will explain how robust system architecture, safety system design, and structured documentation prepare your solution for certification to reduce redesign risk and accelerate time to market. 
• Ensuring software quality: Qt Group will show how proactive software architecture and static code analysis practices help identify risks early, prevent quality issues, and support compliance readiness. 

Who Should Attend 
Preparing for AI safety certification can be complex, but it does not have to be uncertain. This webinar is for engineering teams, including CTOs, system engineers, AI/ML engineers, functional safety engineers, technical program managers, and other technical decision makers responsible for developing and deploying AI-driven systems in safety-critical environments.

TÜV Rheinland, Reynolds & Moore, and Qt Group bring complementary expertise across safety system design, software quality, testing, and certification. Together, we will guide you through a proactive and structured path toward certification readiness.

Speakers: 

• Mathias Haynl – Business Unit Manager, TÜV Rheinland  
• Bouthaina Abdou – AI Deputy Manager, TÜV Rheinland  
• Erik Reynolds – Founder, Reynolds & Moore
• Jan Aarsaether – Business Development, Qt Group