Shared AI Agents Built for Enterprise Compliance
Deploy governed AI agents across departments with full RBAC, audit logs, and on-premise security. Jinba separates building from running so the right teams access the right workflows.
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Enterprise AI Agent Governance Built Into Every Layer
Jinba's SOC II compliant platform enables regulated banks, insurance companies, and other large enterprises to build, share, and govern AI agents across departments without sacrificing compliance or control. Jinba Flow lets technical teams build and publish reusable agents and workflows, while Jinba App gives non-technical staff a safe, chat-based interface to execute them with full RBAC and audit logging in place.
- Describe your agent logic in plain language and refine it in a visual flowchart editor before publishing team-wide
- Define routing rules, permission thresholds, and exception handling so agents follow your compliance policies automatically
- Validate inputs and enrich data from connected enterprise systems before any agent action is executed
- Maintain a complete audit trail of every agent execution with timestamps, user context, and full change history
How Jinba Governs Shared AI Agents Across Your Enterprise
Technical and semi-technical teams use Jinba Flow to build reusable AI agents and workflows via chat-to-flow generation or a visual editor, configuring RBAC, routing rules, and compliance controls before publishing.
Approved agents and workflows are published as APIs, batch processes, or MCP servers and made available to the right teams with role-based permissions, SSO, and Active Directory integration enforced at the platform level.
Non-technical business users execute shared agents safely through Jinba App's conversational interface and auto-generated input forms, with every action logged and governed according to enterprise policy.
Enterprise Ready
Control, security, and support for large organizations.
Advanced access control
Role-based permissions and SSO integration.
Organization management
Spaces, roles, and approvals for your team.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
On-premises or private cloud hosting
Run Jinba in your own environment with full data control.
Advanced access control
Role-based permissions and SSO integration.
Audit logging
Complete compliance and security oversight tracking.
Organization management
Spaces, roles, and approvals for your team.
Pre-built & custom integrations
100+ pre-built integrations plus custom connectors for your internal systems.
Dedicated Engineer Support
Work side-by-side with our engineers to remove blockers and accelerate your workflow development.
Private model hosting
Use Bedrock, Azure AI, or your own models securely.
Govern Shared AI Agents Across Your Enterprise
If your teams are running AI agents without audit logs, RBAC, or on-premise controls, Jinba provides the enterprise governance layer your compliance teams require.
Frequently Asked Questions
Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.
How does Jinba control which teams can access shared AI agents?
Can shared AI agents run on our own infrastructure?
Are all agent executions logged for compliance audits?
What is the difference between Jinba Flow and Jinba App?
How does Jinba differ from individual AI tools like Claude Cowork?
Can non-technical staff run shared AI agents without training?
Does Jinba support version control for shared agents?
Build your way.
The AI layer for your entire organization.