Enterprise RAG with Auditable Deterministic Workflows

Generic AI tools lack the governance regulated banks and insurers need. Jinba Flow lets compliance and operations teams build auditable RAG workflows that execute deterministically and deploy on-premise.

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Governed Enterprise RAG Built for Regulated Financial Institutions

Workflow diagram

Jinba Flow enables banks and insurance companies to build enterprise RAG workflows that combine AI-assisted document retrieval with deterministic, rule-based execution. Every workflow is auditable, version-controlled, and deployable on-premise in air-gapped environments — giving compliance teams the governance GenAI tools alone cannot provide.

  • Describe your RAG workflow in plain language and refine it in a visual flowchart editor, converting retrieval and validation logic into reusable, deployable steps
  • Configure routing rules, compliance thresholds, and exception handling so retrieved documents are processed through governed, predictable decision paths
  • Validate and enrich retrieved content automatically by connecting to internal systems, knowledge bases, and document repositories without exposing data to cloud AI
  • Maintain complete audit logs with full execution history, version control, and role-based access controls so every RAG interaction is traceable for regulators

How Jinba Powers Enterprise RAG Workflows

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

Use chat-to-flow generation or the visual editor in Jinba Flow to design your RAG pipeline — including document ingestion, retrieval logic, validation rules, and compliance routing — without months of engineering work.

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)

Publish your RAG workflow as an API, batch process, or MCP server, deployed on-premise or in a private cloud to keep sensitive financial documents inside your security perimeter.

3
Run in Jinba App (guardrailed UI)

Compliance officers, KYC analysts, and operations staff run workflows safely in Jinba App via a conversational interface with auto-generated forms — no custom UI required, with full guardrails enforced.

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.

Build Compliant Enterprise RAG Workflows for Your Institution

If your teams are relying on generic AI tools that cannot provide governance or auditability, Jinba can help you build enterprise RAG workflows that regulators can trust.

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 different from generic enterprise RAG tools?

Most RAG tools are stochastic and non-auditable — outputs vary and cannot be traced for regulators. Jinba combines AI-assisted retrieval with deterministic, 80% rule-based execution, so every output is consistent, auditable, and defensible in a compliance review.

Can Jinba deploy RAG workflows on-premise?

Yes. Jinba supports on-premise and private-cloud deployment, including air-gapped environments. This means sensitive customer documents, KYC records, and compliance files never leave your security perimeter — a requirement confirmed by enterprise banking clients.

Which teams at a bank or insurer use Jinba for RAG?

Jinba Flow is used by solution engineers, IT automation teams, and digital transformation leaders who build and configure RAG workflows. Jinba App is used by compliance officers, KYC analysts, and loan processors who run those workflows safely without needing technical training.

Does Jinba support private AI model hosting for RAG?

Yes. Jinba supports private model hosting via AWS Bedrock, Azure AI, or custom self-hosted models, so your RAG workflows use AI without routing sensitive financial data through public cloud endpoints.

How does Jinba ensure RAG outputs meet regulatory requirements?

Jinba's deterministic execution engine enforces rule-based logic at each workflow step — routing, validation, and enrichment — and logs every interaction with timestamps, approver details, and change history. This creates a full compliance-ready audit trail for every RAG output.

What enterprise controls does Jinba include for RAG workflows?

Jinba includes SSO, RBAC, Active Directory integration, version control, feature flags, and audit logging. These controls ensure only authorized users can build or execute RAG workflows, and every change is tracked.

Can Jinba replace a failed Power Automate or UiPath RAG implementation?

Yes. Jinba is purpose-built to replace brittle or failed automation implementations. Its chat-to-flow generation and visual editor allow teams to rebuild complex RAG and document workflows in days rather than the months typically required by traditional automation tools or consulting engagements.

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