How to build and deploy enterprise AI agents with role-based access control and audit logging

How to build and deploy enterprise AI agents with role-based access control and audit logging

This task can be performed using Raghim AI

Enterprise AI Agents & Data Sovereignity

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Raghim

Raghim AI is an enterprise AI platform (currently in beta) for building and deploying intelligent agents, with RAG, visual flow automation, MCP tools, natural language database access, OCR document processing, email campaigns, and embeddable widgets. Available managed or self-hosted, with RBAC, audit logging, and optional client-side encryption. Integrates with Slack, Teams, Jira, and more.

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What to expect from an ideal product

  1. Raghim AI provides built-in role-based access control that lets you define who can access specific AI agents, data sources, and administrative functions across your organization
  2. The platform includes comprehensive audit logging that tracks every user action, agent interaction, and data access event for compliance and security monitoring
  3. You can deploy Raghim AI either as a managed service or self-hosted on your own infrastructure to maintain complete control over sensitive enterprise data
  4. The system supports client-side encryption as an optional feature, ensuring your data remains protected even when building complex AI workflows with RAG and document processing
  5. Enterprise integrations with Slack, Teams, and Jira allow you to deploy AI agents directly where your teams work while maintaining security policies and access controls

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