AI Enablement Playbook
A concise operating model for turning AI capability into sustained adoption. This is a portfolio-safe strategy artifact based on my enablement approach, not proprietary employer material.
Start with work
Map priority roles, workflows, friction, readiness, and high-value opportunities. Define the behavior change and business signal before choosing the learning format.
Create role-based pathways
Combine foundations, workflow demonstrations, guided practice, prompt patterns, leader resources, and point-of-need support.
Build a reinforcement system
Coordinate leaders, champions, communications, office hours, communities, and release moments so learning continues after launch.
Prove adoption
Track more than attendance: usage, confidence, repeat application, workflow impact, support signals, qualitative wins, and barriers to adoption.
What I bring to an AI enablement function
Learning architecture, change strategy, stakeholder consulting, executive-ready communication, content systems, facilitation, performance support, adoption measurement, and hands-on use of generative AI for research, analysis, prototyping, and development.