From Experience Designers to Context Architects: Why Context is the Hidden Lever for AI-Powered Learning

When AI lacks context, it produces confident generic output that erodes trust and prevents scaling. We need to reframe the role of learning and talent leaders from experience designers to context architects—professionals who engineer the reliable, brand-aligned inputs that make AI agents trustworthy enough to deploy at scale.

In this session, GP Strategies’ VP of Technology Jeff Fissel will explore what context engineering actually means, the five components that transform generic AI into a performance system tailored to your organization, and a practical blueprint for building trust-first AI pilots that leaders will feel confident scaling.

Attendees will learn:

-How to engineer the five components of context that transform generic AI into reliable, organization-specific performance systems.

-Why context architecture—not AI capability—is the real competitive advantage, and how to distinguish between the non-technical context that captures organizational wisdom and the technical context that ensures reliability at scale.

-How to build a trust-first AI pilot using a practical three-step blueprint: selecting high-value use cases, mapping sources of truth and owners, and designing guardrails for privacy, provenance, and escalation.