Private AI systems designed around access and accountability.

Fit / problem

• Data residency, sovereignty or contractual requirements restrict where data can go
• You need role-based access and a full audit trail for AI usage
• You have, or can get, infrastructure for self-hosted or EU-region deployment

Not a fit if: Standard SaaS AI tools already meet your compliance requirements · No internal or budgeted infrastructure ownership for hosting

Outcomes / deliverables

• Access and data-flow design
• Deployed private/on-prem or EU-region AI gateway
• Role-based access control configuration
• Full audit log and review process

Architecture

• User authenticated via your identity provider
• Access policy check
• Request routed to approved model (self-hosted or EU cloud)
• Response filtered per policy
• Full action logged

Tools / systems / integrations

• Deploys on Azure, AWS or EU-region infrastructure, or fully on-prem
• SSO integration via your existing identity provider
• Open-source models supported where licensing and performance fit

Controlled / controls

• No data leaves the approved deployment boundary
• Every request and response logged for audit
• Model and data access reviewed on a defined schedule

Implementation / timeline & cost

• Self-hosted vs managed EU-cloud deployment
• Model size and inference infrastructure cost
• Number of users and access roles
• Compliance/audit requirements