Document Workflow Automation with Gemini

Process documents and files with Gemini inside governed, audit-logged Jinba workflows. Centralize prompts, credentials, and outputs so regulated document work is reproducible and reviewable.

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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

  • Choose Which Model Sees Which Data

    Jinba Flow runs on-premise or in a private cloud, while each Gemini step sends its files and prompt to Google. Keep sensitive documents on steps that use a privately hosted model instead.

  • 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, with every step's inputs and outputs kept in the run history for review.

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.

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?

Jinba Flow can run on-premise or in a private cloud, but Gemini steps call Google's API, so the files and prompts those steps are given leave your network. For documents that must stay inside, use private model hosting through AWS Bedrock, Azure AI or a self-hosted model for that step instead.

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

Yes, for Gemini steps: their inputs are sent to Google. You choose per step what reaches Gemini, and every step's inputs and outputs are kept in the run history, so reviewers can see exactly what was sent.

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 for your regulated enterprise.

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