Why AI Training Fails at Work
AI training fails when it teaches employees how to use a tool but never helps them change how real work gets done. Better AI learning starts with workflows, expert judgment, practice, and transfer.
Read essay →Field Notes on Knowledge Transfer, AI Adoption, and Workplace Learning
Essays and practical guides focused on turning expert judgment into shared language, decision tools, job aids, and better ways of working.
Pillars
Expertise Translation
How to turn tacit knowledge, expert judgment, and hard-won experience into clear language, repeatable practices, decision tools, and shared ways of working.
AI Adoption
How organizations can adopt AI responsibly by grounding tools, workflows, and prompts in human expertise, context, and judgment.
Learning and Change Management
How to design workplace learning, training transfer, and change efforts that stick because they are built around how people actually do the work.
Why Your Experts Are Your AI Strategy
AI adoption does not start with tools. It starts with the expert judgment your organization depends on but has not yet translated into shared language, decision rules, workflows, and usable knowledge.
Read essay →
What Is Expertise Translation?
Expertise translation is the work of turning tacit knowledge, expert judgment, and hard-won experience into shared language, decision tools, and ways of working others can actually use.
Read essay →