AI has the potential to transform how engineering teams search, interpret and act on complex document sets. But in highly regulated industries, AI is only as trustworthy as the information it is built upon.

Join our engineering information specialists as we explore how organisations can adopt AI within governed engineering information environments without compromising compliance, control or data integrity.

In this panel discussion session, we will examine why trusted AI requires more than access to documents alone. We'll discuss the critical role of document governance, metadata quality, revision control, permissions and approval workflows in ensuring AI can deliver accurate, auditable and contextually relevant insights.

We'll also explore the risks of using generic AI tools outside of controlled engineering systems - outdated information, missing context, limited traceability and compliance.

Whether you're assessing AI opportunities or planning wider adoption across engineering projects and asset operations, this webinar will help you understand how to unlock value from AI while maintaining the governance and trust your organisation depends on.

Key Takeaways

• How AI can improve access to engineering knowledge while maintaining information governance and control
• Why trusted AI depends on controlled engineering information
• Risks of using AI tools outside governed engineering environments
• How auditability and traceability support compliant AI adoption in regulated industries
• Practical considerations for implementing AI across engineering projects and asset operations