AI can generate content in seconds. That’s the good news. The bad news? Most organizations are drowning in auto-generated articles, chat responses, SOP summaries, and micro-courses that are technically “correct” but practically unusable in the moment of need.

Frontline workers don’t need more content. They need the right answer, instantly, in context, on a real job site, without friction.

The core challenge your audience is facing is: How do we build performance support systems that are structured, searchable, trustworthy, and AI-enhanced, without creating chaos, duplication, hallucinations, or compliance risk?

In this session you will learn:

• How to design a performance support content architecture before turning AI loose
• When to use AI for content creation — and when not to
• How to structure source materials (SOPs, PDFs, slide decks, tribal knowledge) so AI can safely augment them
• Why search, retrieval, and categorization matter more than flashy generative tools
• How to blend ahead-of-time learning with real-time AI retrieval for measurable impact
• Governance guardrails that reduce hallucinations and protect data integrity

This is a strategic, experience-driven walkthrough of how to make AI useful, without losing control of your content ecosystem. You will leave with a clear blueprint for building performance support systems that augment human judgment, scale across mobile teams, and deliver answers when and where work actually happens.

This session assumes familiarity with AI tools but does not require technical implementation experience.