True AI-enabled digital engineering demands more than just connecting tools – it requires a process-centric way of working.

This webinar demonstrates how digital processes drive AI enablement across ALM, PLM, and other engineering ecosystems, while maintaining safety and security compliance. This approach ensures clarity, cross-functional alignment, and trust at scale.

Key topics and takeaways:

• Digital engineering transformations require end-to-end process integration – not just tool and data connectivity.
• Most digital engineering failures stem from process breaks, not technology issues.
• To achieve scale, AI-driven engineering needs governance, transparency, and lifecycle visibility.
• Safety, cybersecurity, AI assurance must be embedded into engineering processes rather than bolted-on.
• Digital process management is key for digital engineering success.