Your Experts Can’t Be Everywhere: Put Their Knowledge to Work

When a procedure changes or an expert leaves, how many courses, scenarios and job aids need rebuilding? What if you could capture not just what experts know, but how they make decisions, and turn it into one approved source of information? Instead of rebuilding content for each training need, you could use that knowledge across different learning formats based on employees’ roles and needs, from onboarding and practice to coaching and on-the-job guidance.
Join Micah White, VP of research and development at CGS Immersive, for a live demonstration of Cicero Orchestrator, following one piece of expert knowledge through capture, review and reuse. See how the same approved information supports learning, a practice scenario and on-the-job guidance for different employee needs. Then follow a procedure change to see how related training and support materials can be updated and reviewed without rebuilding each one separately.
This demonstration will show attendees how to:
- Capture the decision rules, warning signs and exceptions that make expert judgment valuable.
- Use one approved knowledge foundation across formats and experiences matched to employee roles, needs and stages in their journey.
- Follow a procedure change through affected learning and support, including review, approval and source traceability.
- Distinguish content generation from a connected workflow that supports learning, practice and application on the job.
Speaker
![]() | Micah White, VP of R&D, CGS Immersive Micah White leads research and development at CGS Immersive, where he integrates augmented reality, mixed reality and generative AI to transform corporate training, employee performance and operational efficiency. He oversees platforms such as TeamworkAR™ and Cicero, with a focus on solving real workforce problems rather than chasing innovation novelty. An XR patent inventor and frequent speaker on practical uses of technology for business outcomes, Micah helps organizations translate innovation into scalable, measurable learning systems. |
