My Thought Garden

Most companies have a “no ChatGPT” policy that everyone ignores, or a “do whatever you want” policy that keeps the lawyers awake at night. Neither works.

What you need is a Semantic Boundary—a policy that differentiates between “Personal Efficiency” and “Corporate Infrastructure.” This template provides a starting point for organizations to leverage AI while maintaining Dynamic Integrity.


Part 1: Strategic Classifications

We categorize AI usage based on risk, not just tool names.

Tier 1: Personal Efficiency (Low Risk)

Use of public LLMs (ChatGPT, Claude, Gemini) for non-proprietary tasks.

Tier 2: Internal Knowledge Base (Medium Risk)

Use of enterprise-grade, RAG-enabled systems tied to internal data.

Tier 3: Agentic Systems & Database Writes (High Risk)

AI agents authorized to take actions or write to external systems.


Part 2: The 3 “No-Go” Zones

Explicitly forbidden behaviors that bypass our Dynamic Integrity standards.

  1. Prompt Poisoning Bypass: Employees must not attempt to “jailbreak” or use adversarial prompts to bypass internal safety guardrails.
  2. Third-Party Model Training: At no time shall company data be used to train external, public models unless a “Zero-Training” enterprise agreement is in place.
  3. Shadow AI Deployment: No department shall integrate a third-party AI API into corporate infrastructure without a Layer 1 (Infrastructure) security audit.

Part 3: Executive Accountability

Security is not just an IT problem; it’s a leadership mandate.


The Sovereign Architect’s Move

Use this template as a baseline to move your organization from fear-based prohibition to structured, secure innovation.

#Governance #AI Policy #Corporate Strategy