From AI Awareness to Workflow Adoption
This portfolio-safe framework demonstrates how I architect enterprise AI learning. It is intentionally generalized and does not reproduce proprietary employer content.
Build shared AI fluency
Establish practical foundations: what the tools can do, where they fail, responsible-use expectations, and how to recognize valuable use cases.
Learn through real work
Move from generic prompting to role-relevant scenarios, reusable prompt patterns, demonstrations, and guided practice tied to actual workflows.
Embed new behaviors
Support employees with in-flow resources, champions, manager reinforcement, office hours, and targeted content at moments of need.
Measure and iterate
Use adoption, confidence, application, feedback, and business signals to find friction, improve pathways, and scale what works.
Design principles
Role relevance over generic AI literacy. Practice over passive consumption. Reusable systems over one-time courses. Responsible experimentation over fear. Business outcomes over completion metrics.