๐ญ๐ณ ๐๐๐ ๐๐ถ๐ฒ๐ฟ๐. ๐ฐ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐. ๐ข๐ป๐น๐ ๐ฏ ๐ฝ๐ฎ๐๐.
- Christian Schulze

- May 21
- 2 min read
I mapped every subscription tier from OpenAI, Anthropic, Google, and Mistral against four questions a pharma board needs answered before any AI procurement decision. The result is sobering.
๐ง๐ต๐ฒ ๐ฐ ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป๐:
๐ญ. Does the provider train on our inputs by default?
๐ฎ. Can we lawfully process EU personal data on this tier (GDPR)?
๐ฏ. Can we lawfully process US patient data on this tier (HIPAA)?
๐ฐ. Is DPA + BAA + Zero Data Retention available on the same tier?
๐ง๐ต๐ฒ ๐ฟ๐ฒ๐๐๐น๐: Out of 17 tier combinations, only 3 pass all four tests.
OpenAI Enterprise / Healthcare / API.
Anthropic Claude Enterprise / API.
Google Workspace Enterprise / Vertex AI.
That is it. Everything else fails at least one question. Most fail three.
๐ช๐ต๐ฎ๐ ๐บ๐ผ๐๐ ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐ด๐ฒ๐ ๐๐ฟ๐ผ๐ป๐ด:
ChatGPT Team? No HIPAA BAA, no ZDR. Fails questions 3 and 4.
Claude Pro? Consumer terms, opt-in training, US-only storage. Fails all four.
Gemini Pro? Same as free tier for training. Fails all four.
Mistral Enterprise? Strongest EU option, fully GDPR-native, no CLOUD Act exposure. But no HIPAA BAA. Fails question 3.
๐ง๐ต๐ฒ ๐๐ป๐ฐ๐ผ๐บ๐ณ๐ผ๐ฟ๐๐ฎ๐ฏ๐น๐ฒ ๐บ๐ฎ๐๐ต: Most pharma companies are running AI on one of the 14 tiers that do not pass. Not because they made a risk decision. Because someone in the organization signed up, started working, and nobody asked the four questions.
This is not a technology failure. It is a governance gap. The real question behind this matrix is not "which LLM should we buy?" It is "does your organization know what data is touching AI right now?"
Samsung engineers pasted semiconductor source code into ChatGPT within 20 days of getting access. They were not malicious. They were trying to be productive. That is the pattern.
๐ช๐ต๐ฎ๐ ๐๐ผ ๐ฑ๐ผ ๐ฎ๐ฏ๐ผ๐๐ ๐ถ๐: Ban all consumer and Pro tiers for anything you would not post publicly. Migrate R&D, clinical, and regulatory staff to an approved Enterprise tenant. And before you choose a vendor, classify your workloads.
Want to find out where your organization stands? Take my free AI Readiness Assessment. Link in the comments.




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