Enterprise AI Agent Governance Framework for Regulated Industries

Jinba gives compliance and operations teams deterministic, auditable AI workflows with RBAC, full audit logs, and on-premise deployment built for banks and insurers.

Book a Demo

Put governance in front of every automated workflow. Before anything executes, check the requesting user's role against our permissions — if they are not authorised, log the attempt and notify the compliance officer. For authorised requests, validate the inputs, extract the document data, and check it against our policy rules, then run the routine processing deterministically so the output is consistent and auditable. Escalate high-risk or flagged decisions to a compliance officer, alert the team over a secure channel, and record every step, decision, approver, and timestamp for regulatory reporting.

Building workflow...

Scroll to see workflow

Trusted by

Backed by Combinator

A Governed AI Workflow Layer Built for Regulated Enterprises

Jinba's SOC II compliant platform gives banks, insurers, and healthcare organizations the enterprise AI agent governance framework to deploy AI workflows with confidence. With Jinba Flow's chat-to-workflow builder and Jinba App's controlled execution layer, compliance and operations teams get deterministic, auditable automation that satisfies regulators without slowing down operations.

Describe any compliance or operations workflow in plain language and refine it visually, setting governance rules, routing thresholds, and exception paths before a single workflow goes live
Configure deterministic routing rules, escalation thresholds, and conditional logic so AI agents follow defined governance parameters on every execution without deviation
Validate and enrich each workflow step against internal systems via secure connectors, ensuring data accuracy and policy alignment before any output is produced
Capture a full audit log of every AI agent action, approver decision, and workflow change with timestamps and role-level attribution for regulatory reporting and internal oversight

How Jinba Delivers Enterprise AI Agent Governance

Send weekly metrics to Slack every Monday at 9am

1

Build in Jinba Flow

Technical and semi-technical teams use Jinba Flow to build AI workflows via chat-to-flow generation or a visual editor, configuring routing rules, validation steps, RBAC permissions, and audit logging before deployment.

test_runner.log

Running workflow test...

✓ Input validation 12ms

✓ Fetch from Sheets API 847ms

✓ Process 24 rows 156ms

✓ Send to #sales 203ms

PASS All steps completed 1.22s

Output preview:

"sent": true, "channel": "#sales"

2

Deploy securely (API / batch / MCP)

Workflows are published as APIs, batch processes, or MCP servers into your on-premise or private cloud environment, with SSO, Active Directory integration, version control, and feature flags enforcing change control across the organization.

3

Run in Jinba App (guardrailed UI)

Business users execute governed workflows safely through Jinba App's conversational interface and auto-generated forms, with every action logged, permissioned, and traceable for compliance reporting.

Enterprise Ready

Control, security, and support for large organizations.

On-Prem

Jinba

Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions

128 Active

Sarah Chen Engineering Lead

Workflows

Michael Ross Product Manager

Analytics

Guest User External Auditor

Admin Access

SSO Enforced

Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log

1

[200] 09:14:22 GET /api/v1/health_check

2

[INFO] 09:14:23 Worker node_04 connected

3

[AUTH] 09:15:01 User admin@corp verified

4

[AUDIT] 09:15:02 Role assignment update

5

// Syncing to edge...

6

[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

Marketing

RESTRICTED

HR

ALLOWED

Screening

Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice 10:42 AM

We need a connector for our internal CRM. Is this possible?

James 10:43 AM

Sure! Can you share the API spec?

crm_api_spec.pdf

Got it. I'll have the connector ready by tomorrow.

James Next day

Connector is live!

Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet

Azure OpenAI GPT-4 Turbo

Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

On-Prem

Jinba

Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions

128 Active

Sarah Chen Engineering Lead

Workflows

Michael Ross Product Manager

Analytics

Guest User External Auditor

Admin Access

SSO Enforced

Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log

1

[200] 09:14:22 GET /api/v1/health_check

2

[INFO] 09:14:23 Worker node_04 connected

3

[AUTH] 09:15:01 User admin@corp verified

4

[AUDIT] 09:15:02 Role assignment update

5

// Syncing to edge...

6

[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

Marketing

RESTRICTED

HR

ALLOWED

Screening

Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

OpenAI

Gmail

Slack

HubSpot

Salesforce

Notion

Linear

GitHub

Teams

Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice 10:42 AM

We need a connector for our internal CRM. Is this possible?

James 10:43 AM

Sure! Can you share the API spec?

crm_api_spec.pdf

Got it. I'll have the connector ready by tomorrow.

James Next day

Connector is live!

Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet

Azure OpenAI GPT-4 Turbo

Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

Build Your Enterprise AI Governance Framework Today

If your AI agents are running without audit trails, RBAC, or on-premise deployment, Jinba gives your compliance and operations teams the governance layer they need to deploy at scale.

Book a Demo

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.

What makes Jinba suitable for enterprise AI agent governance?

Jinba is built for regulated industries with SOC II compliance, on-premise deployment, RBAC, SSO, Active Directory integration, full audit logging, and version control. Its 80% rule-based deterministic execution architecture ensures AI agents produce consistent, auditable outputs rather than unpredictable stochastic results, a requirement for satisfying regulators in banking, insurance, healthcare, and other compliance-heavy environments.

How does Jinba enforce role-based access for AI workflows?

Jinba Flow includes built-in RBAC that controls who can build, edit, publish, and execute each workflow. Workflows, agents, skills, and connectors are shared across the team with defined permission levels. SSO and Active Directory integration allow enterprises to sync existing identity management systems directly into Jinba's governance layer.

Can Jinba deploy AI agents on-premise in air-gapped environments?

Yes. Jinba supports on-premise and private cloud deployment, including air-gapped environments where no customer or compliance data leaves the organization's own infrastructure. Private model hosting is available via AWS Bedrock, Azure AI, or custom self-hosted models, making Jinba suitable for the strictest data residency and security requirements.

How does Jinba provide audit logs for AI agent decisions?

Every workflow execution in Jinba generates a full audit trail that includes timestamps, input data, step-by-step outputs, approver decisions, and role-level attribution. This makes it straightforward for compliance officers and regulators to trace exactly what an AI agent did, when, and under whose authority at every point in the process.

How is Jinba different from individual AI tools like Claude Cowork?

Individual AI tools are designed for single-user productivity and lack audit logs, RBAC, and team-level workflow governance. Jinba is explicitly a team platform with shared workflow libraries, role-based permissions, and full auditability. A tool built around one person's session is not built to carry a regulated workload. Jinba is.

What regulated industries does Jinba support?

Jinba's primary focus is large banks and insurance companies with 20,000 or more employees, with expanding use in legal, healthcare, and pharma. The platform addresses the common pain profile across these verticals: complex document workflows, strict compliance requirements, and the need for on-premise deployment and full auditability.

How quickly can teams build and deploy governed AI workflows in Jinba?

Jinba enables technical and semi-technical teams to build and deploy governed workflows in days rather than months. Chat-to-flow generation creates a workflow draft from a plain-language description, which teams then refine in a visual editor and publish with governance controls in place, replacing approaches that previously required expensive consultant engagements spanning months.

Build your way.

The AI layer for your entire organization.

Get Started