Jira for IEC 61508: Functional Safety Where Robotics & Physical AI Teams Already Work
Modern robotics and physical AI teams move quickly, but Jira alone wasn’t designed to support the rigor required for safety-critical systems. When software decisions affect how machines behave in the physical world, IEC 61508 introduces expectations for traceability, verification, and safety evidence across requirements, design, implementation, and testing.
In practice, that gap shows up as broken traceability between system requirements, control software, and validation activities, last-minute scrambles to assemble safety documentation, and manual copy-pasting across tools. We’ll explore what functional safety assessors expect from teams building robotics and other physical AI systems under IEC 61508, the common gaps in real-world Jira implementations, and how AI can reduce manual compliance work while preserving engineering velocity.
What you'll learn
- Use AI to identify and close traceability gaps across requirements, design, code, and tests before release
- Generate SRS, SDS, V&V, and other safety documentation directly from live Jira data with AI-assisted evidence generation
- Capture auditable approvals and electronic sign-offs in Jira at the right steps in the product development lifecycle
Who should attend
- Robotics: R&D, quality, systems, and product leaders building safety-critical robotic systems under IEC 61508.
- Physical AI: AI and engineering leaders developing machines where software decisions affect real-world behavior and must meet functional safety requirements.
