Build an AI-Powered Loan Risk Assessment Workflow (with Sub-Workflows + Human Review)

In the context of banking, an agentic workflow automates the risk assessment involved in processing loan applications by validating uploaded documents, extracting important details using a large language model (LLM), and flagging applications for human review when necessary. This system enhances efficiency by reducing manual paperwork, allowing teams to focus on high-impact tasks. Positioned within a loan origination system, the workflow operates between the document submission and final underwriting stages, ensuring documents are usable and conducting an initial risk assessment. If a document looks clear, the process continues automatically; otherwise, it is routed to a human for further review using Conductor's built-in Human task feature. The workflow is constructed using Orkes Conductor, which employs sub-workflows to handle tasks such as document validation and classification, thereby maintaining clarity and control throughout the process. This structured approach ensures accurate risk scoring and routing decisions while balancing automation with necessary human oversight, ultimately streamlining loan processing and safeguarding decision-making.

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