Problem solved

Enterprises struggle to safely deploy AI agents like Claude because they need visibility into what resources AI can access, control over permissions, cost management, and audit trails for compliance. Olivares AI solves this by providing a self-hosted control plane that maps AI resource access, enforces policies, manages budgets, and generates compliance evidence, enabling secure and auditable AI operations.

Use cases

• Visualizing and controlling AI agent resource access with an access map
• Governing Claude Code usage with policy enforcement and drift detection
• Managing MCP servers and tools with a governed capabilities catalog
• Tracking AI costs and implementing FinOps budgets
• Generating compliance evidence for frameworks and audits
• Managing non-human identities and their permissions
• Sandboxing AI actions and evaluating them before deployment
• Killing active AI sessions instantly for security incidents

Audience

• Enterprise
• Developers
• ML Engineers
• Data Scientists

Pros

• Self-hosted for full data control and security
• Vendor-neutral and built around Claude, complementing rather than replacing it
• Granular permission and policy enforcement
• Built-in cost management and FinOps
• Compliance evidence generation and audit trails

Cons

• Requires self-hosting infrastructure and expertise
• Focused on Claude, may have limited support for other AI models
• Open-core model may restrict some features to proprietary version
• Complex feature set may be overkill for small teams or startups