Integrate PostgreSQL with Jinba

Connect your PostgreSQL database to Jinba Flow and build auditable, deterministic workflows for regulated industries. Automate KYC document processing and compliance checks with full audit logs and on-premise deployment.

Book a Demo
  1. Verification requested A case needs checking against system of record
  2. Query PostgreSQL Pull the customer and account rows
  3. Compare against the submission Identify what disagrees and why
  4. Mismatch gate Route discrepancies to an analyst
  5. Write the outcome Result and evidence back to the table

What you can do with PostgreSQL + Jinba

  • Query Data in Compliance Workflows

    Pull structured records from PostgreSQL directly into Jinba Flow workflows. Retrieves customer, document, and transaction data to drive rule-based compliance checks without manual data extraction or bespoke scripts.

  • Write Results Back to PostgreSQL

    After workflow execution, persist outputs — decision records, extracted fields, and status updates — back to your PostgreSQL tables, maintaining a single source of truth across operations and compliance teams.

  • Auditable On-Premise Execution

    Run PostgreSQL-connected workflows entirely on-premise or in a private cloud. Jinba's deterministic execution engine ensures every read and write is logged, version-controlled, and reproducible for regulatory audit.

  • Team-Wide Governed Database Access

    Expose PostgreSQL queries as shared, RBAC-controlled workflow steps. Operations staff execute approved database interactions through Jinba App without direct database access, reducing risk and maintaining data governance.

How teams use it

Automate KYC Data Retrieval and Verification

Automatically query PostgreSQL for existing customer records during KYC intake, cross-reference against ingested documents, and write verified status updates back to the database — all within a single auditable workflow.

Compliance Reporting from Structured Database Records

Trigger scheduled batch workflows that read compliance-relevant records from PostgreSQL, apply deterministic rule checks, and generate structured reports — replacing manual SQL exports and spreadsheet-based compliance reporting cycles.

Loan Underwriting Data Lookup and Decisioning

Integrate PostgreSQL applicant and financial data into loan underwriting workflows. Jinba Flow retrieves structured records, applies rule-based decisioning logic, and writes disposition outcomes back for full traceability.

Audit Log Persistence for Regulated Workflows

Write structured workflow execution records and decision audit trails directly to PostgreSQL tables, giving compliance and operations teams a queryable, tamper-evident log of every automated action taken.

Works well with

Microsoft SharePointMicrosoft 365

Automate document intake, extraction and routing

Azure OpenAIAI Models

OpenAI models hosted in your own Azure tenant

AWS Bedrock Knowledge BaseSearch & Data

RAG and document sync inside your own VPC

Microsoft OneDriveMicrosoft 365

Pull files into flows and write results back

Microsoft TeamsMicrosoft 365

Manage channels and messages where teams work

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.

Does Jinba's PostgreSQL integration support on-premise deployment?

Yes. Jinba Flow can be deployed entirely on-premise or in a private cloud, meaning your PostgreSQL connection and all workflow executions remain within your own infrastructure. No data is routed through Jinba's public servers. This is a core requirement for air-gapped banking and insurance environments, and it is a primary reason regulated enterprises choose Jinba over cloud-only workflow automation tools.

Is my PostgreSQL data sent to a public AI model?

No. Jinba's architecture separates deterministic rule-based workflow steps — including database reads and writes — from any AI model invocation. When AI is used, Jinba supports private model hosting via AWS Bedrock, Azure AI, or self-hosted models. Your PostgreSQL data is never sent to a public LLM unless you explicitly configure a private model endpoint within your own environment.

How does Jinba ensure auditability for PostgreSQL-connected workflows?

Every workflow step that reads from or writes to PostgreSQL is captured in Jinba's built-in audit log. Logs record who triggered the workflow, what inputs were provided, which database operations were executed, and what outputs were produced. Workflows are also version-controlled, so compliance teams can trace exactly which workflow version ran against which data at any point in time.

Can non-technical users run PostgreSQL workflows without direct database access?

Yes. Workflows built in Jinba Flow that interact with PostgreSQL are published as shared team workflows in Jinba App. Non-technical users such as KYC analysts or compliance officers invoke these workflows through a conversational interface or auto-generated input forms, with RBAC controls ensuring they only access the data and actions their role permits — without any direct database credentials or query access.

Can I use PostgreSQL with Jinba for KYC and compliance workflows?

Yes. KYC and compliance automation is one of Jinba's primary use cases. The PostgreSQL integration enables workflows to retrieve existing customer records, cross-reference document data, apply deterministic compliance rules, and write verified outcomes back to your database. The full workflow execution is logged and auditable, meeting the traceability requirements common in banking and insurance regulatory environments.

Build Auditable PostgreSQL Workflows

Talk to our team about connecting your PostgreSQL database to Jinba Flow for compliant, on-premise KYC and data workflows.

Book a Demo