About the Builder
Highlight Training Framework
The Highlight Training Framework was developed by Natalie Paul, PhD - a Lean Six Sigma Black Belt (Level 3) and Learning Systems Strategist with over 15 years of experience in education, workforce training, and instructional design.
The framework started with a job posting. A company was seeking someone to lead AI transformation of their workforce. Reading that description, it became clear the real need wasn't a new hire - it was a structured system. Nobody had built one specifically for AI adoption that measured behavioral change rather than tool usage. So she built it as one of her Lean Six Sigma Black Belt projects.
The Highlight Training Framework treats employees as process owners, not passive recipients of training, and uses a Behavioral Level (B-Level) measurement system to establish readiness baselines, prioritize training by risk and impact, and track measurable performance gains across iterative cycles. The result is a risk-prioritized infrastructure that ensures AI adoption is behavioral, governed, and aligned to real workforce outcomes, not just tool familiarity.
The framework started with a job posting. A company was seeking someone to lead AI transformation of their workforce. Reading that description, it became clear the real need wasn't a new hire - it was a structured system. Nobody had built one specifically for AI adoption that measured behavioral change rather than tool usage. So she built it as one of her Lean Six Sigma Black Belt projects.
The Highlight Training Framework treats employees as process owners, not passive recipients of training, and uses a Behavioral Level (B-Level) measurement system to establish readiness baselines, prioritize training by risk and impact, and track measurable performance gains across iterative cycles. The result is a risk-prioritized infrastructure that ensures AI adoption is behavioral, governed, and aligned to real workforce outcomes, not just tool familiarity.