Essays and practical guides on making expertise visible, translating expert judgment into shared tools, and helping knowledge survive change, growth, and AI.
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.
Standard skills assessments capture what people can list. They miss the judgment, pattern recognition, and situational calls that make experts effective. Here is how to assess for the expertise that actually drives results.
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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.
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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.
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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.
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