Linear Automation for High Stakes Workflows

Jinba Flow builds deterministic, rule-based linear workflows with full audit logs so regulated teams can automate KYC, underwriting, and compliance processes without errors or gaps.

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  1. Case created New work enters the pipeline
  2. Draft the work item Summarise the request and its acceptance criteria
  3. Open in Linear Issue created on the right team
  4. SLA check Escalate anything ageing past target
  5. Log progress Status history retained for audit

What you can do with Linear + Jinba

  • Deterministic Rule-Based Execution

    Jinba's 80% rule-based architecture ensures every step in your linear workflow executes consistently and predictably, producing auditable outputs that satisfy regulatory requirements without stochastic AI unpredictability.

  • Full Audit Logging and Traceability

    Every workflow step, decision, and data transformation is logged end-to-end. Compliance officers can trace exactly what happened, when, and why across every linear process execution.

  • On-Premise and Air-Gapped Deployment

    Deploy linear automation workflows entirely within your own infrastructure. Jinba supports on-premise and private-cloud hosting for regulated enterprises operating in air-gapped or restricted network environments.

  • Team-Wide Workflow Governance

    Workflows built in Jinba Flow are shared across the team with role-based permissions, SSO, and Active Directory integration, ensuring only authorized staff can build, edit, or execute approved automations.

How teams use it

KYC Document Processing Workflow Automation

Automate every step of KYC document intake, validation, and review in a strict linear sequence. Jinba Flow enforces rule-based logic at each stage, producing a full audit trail for regulatory examination.

Loan Underwriting Linear Process Automation

Replace manual underwriting checklists with a deterministic linear workflow. Jinba executes each underwriting step in sequence, flags exceptions, and logs every decision for compliance review and quality assurance.

Compliance Reporting Workflow Automation

Build linear automation workflows that collect, validate, and compile compliance data step by step. Audit logs capture every action taken, giving compliance teams a defensible record for regulators.

Contract Review and Approval Workflow

Automate contract intake, clause extraction, review routing, and approval in a linear, ordered sequence. Each step is governed by deterministic rules, ensuring no clause or approval gate is skipped.

Prior Authorization Workflow Automation

Automate prior authorization request intake, eligibility checks, documentation validation, and decision routing in a linear workflow. Rule-based execution ensures consistent outcomes and a complete audit log for every case.

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 Entra IDMicrosoft 365

Look up M365 profiles and manager relationships

Microsoft OneDriveMicrosoft 365

Pull files into flows and write results back

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's linear automation different from generic workflow tools?

Generic tools like Microsoft Power Automate and UiPath often rely on rigid integrations or stochastic AI that produces inconsistent outputs. Jinba builds deterministic, rule-based linear workflows where every step executes in a fixed, auditable sequence. The result is consistent, compliant output every time — not a best-guess response from a language model. This architecture is specifically designed for regulated industries where errors in a workflow carry legal and financial consequences.

Does Jinba support on-premise deployment for linear automation?

Yes. Jinba supports on-premise and private-cloud deployment, including air-gapped environments. This means your linear automation workflows and all data they process remain within your own infrastructure. For banks, insurers, and healthcare organizations with strict data residency requirements or network isolation policies, on-premise deployment is a standard part of Jinba's offering, not an add-on.

Is my data sent to a public AI model when running linear workflows?

Not by default. Jinba's architecture is 80% rule-based, so most linear workflow steps do not invoke an LLM at all. Where AI is used, Jinba supports private model hosting via AWS Bedrock, Azure AI, or self-hosted models. Your data is never sent to a public AI endpoint unless you explicitly configure it to do so.

Does Jinba provide audit logs for linear automation workflows?

Yes. Full audit logging is a core feature, not an optional add-on. Every step, input, output, and decision within a linear workflow is logged with a complete trace. Compliance officers, auditors, and regulators can inspect exactly what happened at each stage of the workflow, which is a requirement Jinba's architecture is specifically built to satisfy.

How long does it take to build and deploy a linear automation workflow in Jinba?

Jinba's chat-to-flow generation lets technical and semi-technical teams describe a workflow in natural language and receive a draft workflow immediately. Teams can then refine it in the visual editor, test it with real data, and deploy it as an API or batch process. This approach is designed to reduce build time significantly compared to traditional consultant-driven implementations.

Ready to Automate Your Compliance Workflows

Talk to our team about building deterministic, audit-ready linear automation workflows for your regulated enterprise.

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