Integrate Google Gemini with Jinba

Connect Google Gemini to Jinba Flow and deploy governed, on-premise AI workflows for regulated enterprises. Automate complex KYC document processing and claims workflows with full audit logging.

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  1. Claim submitted Photos, PDFs and audio arrive together
  2. Read every format Gemini handles image, audio and video in one step
  3. Coverage check Route by claim type and value
  4. Adjuster review Assessor confirms the extracted detail
  5. Write the assessment Outcome logged against the claim

What you can do with Google Gemini + Jinba

  • On-Premise Gemini Deployment

    Host Google Gemini through private cloud or air-gapped on-premise environments so sensitive financial and insurance data never leaves your infrastructure. Satisfies strict data residency requirements for regulated institutions.

  • Deterministic Workflow Execution

    Wrap Gemini AI steps inside 80% rule-based deterministic workflows, producing consistent and auditable outputs that meet compliance standards for banking, insurance, and healthcare operations.

  • Team Governed Workflow Sharing

    Publish Gemini-powered workflows as shared team assets in Jinba Flow with RBAC, SSO, and audit logging, ensuring the right people run approved automations and every execution is traceable.

  • Chat to Flow Generation

    Describe your Gemini workflow in natural language and Jinba generates a draft automation in the visual editor, cutting build time from months to days without relying on external consultants.

How teams use it

KYC Document Processing with Gemini

Use Gemini within a governed Jinba workflow to extract, classify, and validate KYC documents at scale. Every step runs deterministically with full audit logs, satisfying regulatory requirements for large banks and insurers.

Claims Workflow Automation

Automate insurance claims intake and document review by embedding Gemini AI steps inside deterministic Jinba workflows deployed on-premise, keeping sensitive claims data within your private infrastructure throughout the process.

Compliance Document Checks

Run Gemini-powered compliance checks across contracts, regulatory filings, and policy documents through reusable Jinba workflows that produce consistent, auditable outputs for compliance officers and operations teams.

Loan Underwriting Document Review

Embed Google Gemini into structured Jinba underwriting workflows to assess loan applications and extract key data from supporting documents, with deterministic logic enforcing consistent decision criteria across every review.

Contract Review and Extraction

Deploy Gemini inside governed Jinba workflows to review contracts, extract key clauses, and flag deviations from standard terms, publishing results as APIs or batch outputs that legal and operations teams can consume.

Works well with

Microsoft SharePointMicrosoft 365

Automate document intake, extraction and routing

Microsoft OneDriveMicrosoft 365

Pull files into flows and write results back

AWS Bedrock Knowledge BaseSearch & Data

RAG and document sync inside your own VPC

Anthropic (Claude)AI Models

Invoke Claude models as a workflow step

Microsoft OutlookMicrosoft 365

Automate Outlook mail and calendar operations

Google DriveProductivity

Read and file Drive documents from a workflow

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.

Can I run Google Gemini workflows on-premise with Jinba?

Yes. Jinba Flow supports on-premise and private-cloud deployment, including air-gapped environments. When you integrate Google Gemini through Jinba, you can configure private model hosting so that sensitive documents and data processed by Gemini never leave your controlled infrastructure. This is a core requirement for regulated banks, insurers, and healthcare organizations operating under strict data residency policies.

Is my data sent to a public AI model when using Gemini with Jinba?

Not unless you configure it that way. Jinba supports private model hosting via AWS Bedrock, Azure AI, or self-hosted models alongside Gemini integrations. Your workflow data flows through the deployment environment you control. For regulated enterprises with air-gapped or private-cloud requirements, Jinba is designed to keep data within your infrastructure throughout every workflow execution.

Does Jinba provide audit logs for Google Gemini workflow executions?

Yes. Every workflow execution in Jinba Flow is fully audit logged, capturing inputs, outputs, step-level results, and the identity of who triggered the run. This is built into the platform specifically for regulated workloads in banking, insurance, legal, and healthcare where auditability is a compliance requirement, not an optional feature.

How is Jinba different from using Google Gemini directly for workflow automation?

Running Gemini directly produces stochastic outputs that are difficult to audit and govern at scale. Jinba wraps Gemini AI steps inside deterministic, 80% rule-based workflows with RBAC, SSO, version control, and audit logging. The result is consistent, auditable automation that satisfies regulated industry compliance requirements. Teams also share approved workflows across departments rather than each person running their own uncontrolled prompts.

Can non-technical teams run Gemini-powered workflows built in Jinba?

Yes. Workflows built in Jinba Flow, including those with Google Gemini steps, are published to Jinba App where non-technical business users execute them via a conversational interface with auto-generated input forms. Role-based permissions ensure only authorized staff can invoke specific workflows, and every execution is logged, keeping operations teams productive without introducing compliance risk.

Deploy Gemini Workflows On Your Terms

Talk to our team about deploying governed Google Gemini workflows on-premise for your regulated enterprise.

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