FG-0105 Domain Transfer Mapping
Description
Systematically map existing domain expertise to AI collaboration patterns. Military command structures become agent governance. QA engineering becomes AI output validation. Project management becomes mission briefing protocols. Every established discipline contains patterns that transfer directly to human-AI collaboration: but only if you deliberately identify and adapt them rather than starting from scratch.
Implementation
Inventory your team's domain expertise. For each discipline, identify: What structures exist? What terminology is used? What processes are proven? Map each to an AI collaboration equivalent. Document the mapping so the team understands both why a process exists and what it does.
Success Indicators
- AI collaboration processes feel natural to domain experts
- Terminology bridges existing expertise and AI concepts
- Proven patterns from other domains reduce the need to invent from scratch
- Team members recognize their expertise reflected in the collaboration framework
Failure Modes
- Forcing domain metaphors where they don't fit
- Over-mapping: not every military concept needs an AI equivalent
- Failing to adapt transferred patterns to the AI context
- Expertise gatekeeping: requiring deep domain background before allowing any contribution, turning a strength into an exclusion mechanism that blocks fresh perspectives
Sub-Methods 3
Map which existing skills from your domain apply directly to the new domain. Military command structures become agent governance. QA testing pyramids become AI output validation. Red team adversarial thinking becomes security auditing. Identify these transfers explicitly so the team builds on proven patterns rather than inventing from scratch.
Identify where domain knowledge is absent and the transfer breaks down. Positive transfer accelerates work; negative transfer (assuming patterns apply when they do not) creates subtle failures. Map the friction zones where existing expertise does not translate and new learning is required. These gaps are where iteration loops live.
Use existing domain vocabulary to learn new domain terms by analogy. 'Perimeter' in physical security maps to 'attack surface' in web security maps to 'exposed endpoints' in deployment infrastructure. Building vocabulary bridges between domains accelerates learning by anchoring new terms to familiar concepts. The bridge is the fastest path to naming precision in unfamiliar territory.