Responsible AI for Governed Engineering Information
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. The webinar will take place on 21 October, 9:00am – 9:45am – CDT (3:00pm – 3:45pm BST).
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We’ll also explore the risks of using generic AI tools outside of controlled engineering systems – outdated information, missing context, limited traceability and compliance.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.
Webinar panel
Oliver Spires – Product Manager, Idox
Parag Raipuria – Product Manager, Idox
André Gunter – Head of Technical Pre-Sales, Idox
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
Book your place by clicking here.
