Use when matching enterprise data sensitivity to AI deployment pattern, deciding whether a use case can run on consumer ChatGPT vs enterprise SaaS vs VPC vs air-gapped, suppressing shadow AI, or specifying the control stack required per data class. Phrases like "can we use ChatGPT for this?", "is this data safe for an enterprise SaaS LLM?", "what controls do we need for PII/PHI in this AI workflow?", "shadow-AI is everywhere, how do we sanction tools?", "what deployment pattern fits regulated data?" all trigger this skill. Maps each data sensitivity class to one of five deployment tiers, names the minimum control stack per tier under NIST AI RMF / ISO 42001 / EU AI Act, and outputs a deployment-pattern verdict (Approved / Conditional / Blocked) with a control checklist and regulatory citations.
How to install tech-data-deployment?
geledek/enterprise-ai-transformation-skills/tech-data-deployment
$npx -y skills add geledek/enterprise-ai-transformation-skills --skill tech-data-deploymentInstalls into the current project.
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Run `npx skills use "https://github.com/geledek/enterprise-ai-transformation-skills" --skill "geledek/enterprise-ai-transformation-skills/tech-data-deployment"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/geledek/enterprise-ai-transformation-skills" that are relevant to the current task. Run `npx skills add "https://github.com/geledek/enterprise-ai-transformation-skills"` and select the relevant skills, then follow their instructions.
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