transfer expert judgement

The problem

Critical business knowledge often evaporates when senior experts leave, while standard SOPs usually capture only surface-level steps. Most training fails because it teaches generic procedures rather than the situated judgement and cue-recognition required for high-stakes decision-making.

What it does

• Extracts tacit knowledge by reconstructing concrete cases, failures, and near-misses rather than relying on abstract generalizations.
• Builds a traceable expertise model that maps situational cues, interpretations, trade-offs, and stopping rules.
• Identifies boundaries for automation and delegation, specifying which tasks require human accountability or professional licensure.
• Validates models against external evidence, regulations, and new test cases to ensure reliability.
• Converts raw expertise into structured assets like AI agent instructions, decision aids, or succession documentation.

Why this beats prompting it yourself

Generic prompts tend to smooth over contradictions and manufacture consensus where none exists. This skill enforces a rigorous evidence register that separates expert accounts from analyst inferences, ensuring the final output reflects real-world practice rather than polished theory.

Use cases

• Creating precise instructions for specialized AI agents that must handle complex edge cases.
• Documenting the decision-making logic of a departing senior lead for succession planning.
• Auditing existing training materials against actual expert performance to find gaps.
• Developing decision-support tools for junior staff in high-consequence environments.

Known limitations

Cannot grant legal authority or physical capability that a recipient does not already possess. Requires access to experts or detailed case records to build a high-confidence model.