AI governance for healthcare, without slowing care
The problem
AI is already on the ward
Long before a policy is signed, clinicians and staff find their own AI tools. The risk isn't the AI: it's not seeing it.
- 01
Patient notes in public chatbots
Summaries, discharge letters and referrals get drafted in AI tools, with names, birth dates and diagnoses inside.
- 02
Transcription apps nobody approved
Dictation and scribe apps spread from one department to the next, often on personal accounts.
- 03
Special-category data, by definition
Health data is special-category under the GDPR, and auditors want proof of how AI touches it, not a policy.
Use case · Healthcare
09:00 · The shift starts
One morning in a hospital, with Colchix
An illustrative example: what each agent does, step by step.
- 41AI tools found, 12 nobody approved
01ARGUS · Discover
41 AI tools behind ten doors
As the shift starts, ARGUS looks at every device: 41 AI tools in use, 12 that nobody approved, one of them an unknown scribe app. The CISO approves Claude Enterprise and refuses the app.
- 3patient values masked in one prompt
02TALOS · Protect
Patient data stays with the patient
A doctor asks Claude Desktop to summarize a case. TALOS masks the patient's name, birth date and diagnosis before the prompt leaves the device; the answer comes back whole, on the doctor's screen only.
- 0patient values stored
03ATHENA · Prove
Evidence from the first minute
Every decision becomes a sealed record, counts and categories, never values, filed for the GDPR and the EU AI Act before the auditor calls.
- THEMISSystem One² AI model
Under every step · Decide
THEMIS named the unknown scribe app in 23 ms and judged what counted as patient data, in context.
Ready to see every AI tool in your hospital?
Patient data stays with the patient.
Your clinicians keep their AI.
- Any AI tool
- Prompts never stored
- Live in 5 minutes
Colchix governs the AI tools your teams already use, among them ChatGPT, Claude, Gemini, Microsoft Copilot, Cursor, Mistral, Perplexity, DeepSeek, GitHub Copilot, Grok, Notion AI, Hugging Face, Meta AI, Qwen, Ollama.
Healthcare FAQs
What healthcare teams ask about governing AI with Colchix.
Does Colchix see patient data?
TALOS detects patient data such as names, birth dates and diagnoses and masks it before a prompt reaches the AI tool, so the provider receives tokens only. The answer comes back with the real values on the clinician's screen.
Which AI tools does Colchix cover in a hospital?
Any AI tool your staff use: chatbots in the browser, desktop apps like Claude Desktop, transcription and scribe apps, the AI inside your SaaS and the agents your IT team builds. ARGUS finds the ones nobody approved, too.
Explore ARGUSWill clinicians have to change how they work?
No. Colchix works inside the AI tools they already use, through a light local agent and browser extension. Masking happens at runtime, invisibly, unless a rule needs explaining.
How does Colchix help with the GDPR and the EU AI Act?
ATHENA turns AI activity into structured audit trails and evidence, filed under the frameworks you answer to, such as the GDPR, the EU AI Act and ISO/IEC 42001. When an auditor asks how AI touches patient data, the answer already exists.
Explore ATHENAAre prompts stored?
No. Prompts are never stored. ATHENA keeps counts and categories as audit evidence, never the values themselves, and your data is hosted in your region.
What is THEMIS?
THEMIS is Colchix's System One² AI model, the judgement under ARGUS, TALOS and ATHENA: it decides what's sensitive, names the AI tools nobody knew about and files each record under the rule it proves, in milliseconds and on your rules. In the healthcare example on this page, it named the unknown scribe app in 23 ms and judged what counted as patient data, in context.
Explore THEMISAsk AI about Colchix for healthcare
Get an independent answer. The question's ready, pick your assistant.
