The conversation in enterprise L&D has moved past "should we use AI?" The real challenge is now "how do we make AI reliably work at scale?"
 
In this session, Jeff Fissel, VP of Technology at GP Strategies, unpacks the architecture behind high-performing learning AI: the systems, data structures, and governance layers that separate proof-of-concept pilots from production-ready solutions. He'll introduce the Context Blueprint, a practical framework for mapping instructions, knowledge sources, data inputs, and escalation logic, and show how this technical discipline is what turns an AI pilot into a trusted performance engine. 
 
Drawing on real deployments across coaching, onboarding, and manager enablement, this session gives L&D technologists a concrete operating model for building AI that your business, legal, and compliance teams will actually sign off on.

• Attendees will leave able to:
• Architect for trust: understand the five components of a Context Blueprint and why data provenance, consent, and escalation paths need to be designed in, not bolted on.
• Diagnose failure modes: identify why most AI pilots stall (hint: it's rarely the AI model) and how context architecture closes the gap between demo performance and production performance.
• Lead the technical partnership: define what L&D technologists need from IT, Legal, HR, and the business to ship learning AI that scales without governance surprises.