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IMPACT! CHOLearning 2026
The Community of Human and Organizational Learning’s 32nd Annual Learning Conference!

From June 22nd to 26th, our gathering at the Sheraton Denver Downtown Hotel, promises four immersive days packed with insights, innovation, and collaboration. Start the week with an array of workshops on Monday, kickstarting an enriching week, and explore the Co-Located workshops on Friday for a deeper dive into specialized topics.

Be sure to mark the workshops you plan to attend. We use this to help the presenters prepare and ensure we have the proper accommodations for everyone.



Wednesday June 24, 2026 1:35pm - 2:25pm MDT
Limited Capacity filling up
Operational waste, such as rework, friction, workarounds, delays, duplicated steps, and overcomplicated controls, is often your earliest signal of system stress. These are not just productivity problems. They are indicators that Work-as-Imagined (WAI) and Work-as-Done (WAD) are drifting apart.


Most organizations manage to the Black Line, the procedures, rules, and documented controls that describe how work should happen. But performance actually lives in the Blue Line, how work really gets done under real-world pressure, variability, and constraint.


The gap between Black Line and Blue Line is where learning lives. And it’s also where waste, friction, control erosion, and weak signals begin to accumulate. Most safety systems focus on closing compliance gaps. High-performing systems focus on understanding alignment gaps.


This session explores how HOP and operational learning tools, like the 4Ds, and AI can help you systematically learn from everyday operations at scale, not just from incidents. Instead of waiting for failure, you’ll discover how to surface early indicators of system strain by examining where WAI and WAD diverge across sites, teams, and environments.


You’ll learn how operational waste reveals:
  1. Where work is “Difficult” and creating cognitive overload
  2. Where processes are “Different” and introducing instability
  3. Where exposure is becoming “Dangerous” beneath normal production
  4. Where systems are “Dumb” adding steps that no longer make sense
These signals show up long before injury or loss. They show up in everyday work.


To scale this learning, organizations must move beyond isolated conversations and static reports. This scaling will be constrained without using AI as a Learning Amplifier, Not a Control Mechanism. An ethical and human-centered approach to AI is vital. AI should be:
  1. A pattern amplifier, not a people predictor
  2. A sensemaking assistant, not a decision-maker
  3. A weak signal detector, not a surveillance tool
  4. A conversation catalyst, not a compliance enforcer
AI helps connect Blue Line realities across operations. Humans interpret the meaning.

Conference Presenters
avatar for Jeffery Lyth

Jeffery Lyth

Principal - North America, Learning Teams Inc
Jeff is a well-regarded innovator in workplace safety leadership. He helps organizations evolve how they manage safety by guiding their exploration and integration of the ‘new view’ of safety principles and helping them break through the performance plateaus associated with conventional... Read More →
Wednesday June 24, 2026 1:35pm - 2:25pm MDT
Windows IM PEI Tower Second Floor Level

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