AI can generate content in seconds. That’s the good news.
The bad news is that organizations are drowning in auto-generated articles, chat responses, SOP summaries, and micro-courses that are technically correct but unusable at the moment of need. Frontline workers need the right answer instantly, in context, and without friction.
The challenge is building performance support systems that are searchable, trustworthy, AI-enhanced, and structured without creating duplication, hallucinations, or compliance risk.
In this session, Chad Udell will show you how performance support must evolve in the age of AI. You will explore how to
- Design a performance support strategy before using AI.
- Structure source materials so AI can safely augment them.
- Improve search, retrieval, and categorization.
- Blend learning with real-time AI retrieval.
- Create governance guardrails that protect data integrity.
This session offers a practical, experience-driven approach to making AI useful while maintaining control of your content ecosystem.
By the end of this session, you will be able to
- Design a structured performance support content architecture that enables safe and effective AI augmentation.
- Apply practical criteria to determine when to use AI for content creation versus when to use human-led curation.
- Develop governance and retrieval strategies that improve search accuracy, reduce hallucinations, and increase frontline usability.
