Use cases / Healthcare & sensitive data
Healthcare & sensitive data
Argy enables AI adoption without exposing sensitive data, using strict scopes and access controls.
Context
Strong GDPR constraints, segmented access, and protected internal data.
Argy solution
Multi-tenant isolation, ACL-based RAG, and secure-by-default workflows.
Key challenges
- • Strict GDPR and internal policies
- • Limited information sharing
- • Risk of leakage in AI usage
Argy approach
- • Tenant-aware RAG with ACL
- • PII and secret filtering
- • Role-based access scopes
Building blocks
- • LLM Gateway filtering
- • RAG scopes and ACLs
- • Audit trail and logging
Governance & sovereignty
- • SSO/RBAC and MFA
- • Full traceability of requests
- • Sovereign deployment options
KPIs to track
- • Data incidents
- • Access violations
- • Response time
Related automations
Example workflows you can assemble for this use case.
Governed HR assistant via MCP + Argy Chat
Steps
- • Action 1: create an MCP server connected to the internal HR tool via Argy Code
- • Action 2: run a deployment and validation pipeline
- • Action 3: publish the tool in Argy Chat for employees
Outcomes
- • Self-service HR access
- • Protected data
Governed AI analysis via MCP
Steps
- • Collect logs & metrics
- • Call AI agent via MCP server
- • Root-cause summary
Outcomes
- • Faster diagnosis
- • Standardized routines
Explore more in automatable actions.
Related solutions
How leaders frame this use case across teams.
Security / GRC
Govern AI and DevSecOps with evidence and sovereignty.
CTO / VP Engineering
Scale enterprise AI without losing control.
Next step: request a demo or explore solutions.