docs: Add casual outreach email template for validation
Adds a low-commitment, conversational template for initial problem validation outreach. Focus on gut reaction rather than formal feedback. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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**Subject**: Quick question - AI governance gap you're seeing?
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Hi ,
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Hope you're well. Quick question on something I've been working on - would value your perspective.
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**Context**: I'm exploring what I'm calling the "governance mechanism gap" in AI deployment. Organizations deploying AI agents making thousands of decisions daily, but governance is mostly policies hoping the AI "behaves correctly." No architectural mechanisms to enforce boundaries before failures occur.
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**Specific symptoms I'm seeing**:
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- AI overrides explicit human instructions when pattern recognition triggers
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- No way to surface value conflicts (privacy vs. utility) before AI chooses
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- Teams lose judgment capacity - "AI decides, we rubber-stamp"
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- No audit trails showing governance actually prevented failures
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**Quick question** (5 minutes):
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Are you seeing versions of this problem in your organization / your field / projects you've worked on?
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**Quick response format**:
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- **YES** - Seeing this, want to know more
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- **MAYBE** - Seeing parts of this, not sure about others
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- **NO** - Not really seeing this / different challenges
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Optional: One sentence on what you're seeing or not seeing.
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That's it. No commitment, just a reality check from someone who's dealt with [governance at scale / AI in production / regulatory compliance / infrastructure projects / etc.].
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If this doesn't resonate, no problem at all. If it does, I'd be interested in a follow-up conversation about specific angles.
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Ka mihi
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John
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P.S. If curious about the approach: https://agenticgovernance.digital - but no need to read before responding, just your gut reaction to whether the problem description matches reality.
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# Phase 0: Two-Stage Validation Letters
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**Purpose**: Validate problem resonance (Stage 1) before asking for detailed feedback (Stage 2)
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