Enterprise AI Workflow Sharing Built for Regulated Teams

Jinba gives regulated enterprises a governed layer to build, share, and run AI workflows across departments. Role-based access, full audit logs, and on-premise deployment included.

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Governed AI Workflow Sharing Across Your Entire Operations Team

Workflow diagram

Jinba's SOC II compliant platform separates workflow building from workflow execution, so technical teams define the logic and business users run approved workflows safely. Every shared workflow comes with role-based permissions, SSO, and a complete audit trail built in.

  • Describe any workflow in plain language and refine it visually, then publish it as a shared team asset accessible across departments with RBAC controls
  • Configure routing rules, conditional branching, and exception handling so every shared workflow enforces consistent business logic at scale
  • Validate inputs and enrich data automatically by connecting to internal systems before any workflow reaches an end user
  • Maintain a complete, tamper-evident audit log of every workflow execution, permission change, and version update for regulatory review

How Enterprise AI Workflow Sharing Works in Jinba

Send weekly metrics to Slack every Monday at 9am
1
Build in Jinba Flow

Technical and semi-technical teams use Jinba Flow to generate workflows via chat or the visual editor, configure routing rules and permissions, and publish them as shared team assets or APIs.

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 deployed with RBAC controls, SSO, and Active Directory integration, ensuring only the right roles can access and execute each workflow, on-premise or in a private cloud.

3
Run in Jinba App (guardrailed UI)

Business users invoke shared workflows in Jinba App via a conversational interface or auto-generated forms, with every execution logged and governed by the permissions set in Flow.

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
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
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.

User
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
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
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
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
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.

User
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
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
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.

Ready to Share AI Workflows Across Your Enterprise Safely

If your teams are copying prompts in chat tools or emailing workflow outputs, Jinba turns those processes into governed, shareable automations your whole operations team can run with confidence.

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.

How does Jinba enforce permissions when sharing AI workflows?

Jinba uses role-based access control (RBAC), SSO, and Active Directory integration to ensure that only authorized team members can view, edit, or execute any given workflow. Builders configure permissions inside Jinba Flow when publishing a workflow, and those controls are enforced automatically every time a user invokes it in Jinba App.

Is Jinba suitable for sharing workflows in air-gapped environments?

Yes. Jinba supports on-premise and private-cloud deployment, making it suitable for regulated enterprises that require workflows and sensitive data to remain inside their own infrastructure. This includes air-gapped environments where cloud-based tools are not permitted.

What makes Jinba different from tools like Claude Cowork or ChatGPT Teams?

Those tools are designed for individual productivity and lack team-level governance features. Jinba is purpose-built for enterprise operations teams and includes audit logs, RBAC, SSO, and deterministic workflow execution. Anthropic's own documentation confirms Claude Cowork is not suitable for regulated workloads. Jinba is built for exactly those workloads.

Can non-technical staff safely execute shared AI workflows?

Yes. Jinba App provides a conversational interface with auto-generated input forms so non-technical users can run approved workflows without any workflow tooling knowledge. The separation of building in Jinba Flow and executing in Jinba App ensures business users only interact with governed, tested automations.

Does Jinba maintain audit logs for every shared workflow execution?

Yes. Every workflow execution, permission change, and version update is logged with full timestamps and user details. These audit logs are available for regulatory review and compliance reporting, making Jinba suitable for banks, insurance companies, and other regulated industries.

How quickly can teams build and share new workflows?

Technical teams can generate a workflow draft by describing the process in plain language using Jinba Flow's chat-to-flow feature, refine it in the visual editor, and publish it for team-wide use. Jinba is positioned to deliver working workflows in days rather than the months typical of traditional automation projects.

Can Jinba reduce the cost of running AI workflows at scale?

Yes. Jinba's deterministic architecture is approximately 80% rule-based, which means most workflow steps do not require LLM inference on every execution. This structure significantly reduces token costs compared to fully stochastic AI agent approaches, addressing a common CFO concern as enterprise AI spend scales.

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