What this type of data entails
Data sources for credit application risk control include customer-uploaded electronic materials, integrated third-party credit reporting and tax system APIs, and manually entered basic application information. Single application materials are static submitted combinations. Personal credit applications include documents such as identity credentials, income certificates, and credit authorization letters. Corporate credit applications include structured and unstructured documents such as business licenses, annual financial reports, and tax returns. Fields include identity identifiers, financial metrics, and application parameters, using standard financial units like yuan (for amounts), months/years (for terms). No custom non-standard units are used.
What constraints these characteristics impose on workflow orchestration
Credit application data is multi-source and structurally diverse. This requires workflows to support mixed node configuration for batch multi-file parsing, structured data extraction, and unstructured OCR recognition. Data contains sensitive financial information. This requires workflows to include compliant desensitization and permission verification nodes to prevent sensitive data leaks. Audit steps for single applications have branching logic, such as automatic review and manual review channels divided by application amount. This requires workflows to support conditional branch orchestration. Third-party API calls are tied to data update cycles. This requires workflows to configure node timeout and retry mechanisms to adapt to varying response times of different data sources. Multi-source data must be integrated in the order of audit logic. This requires node execution sequences to strictly match the business process of material verification, data pulling, and quota calculation.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_MULTIPLE_FILES | Enable | Credit applications require submission of multiple types of supporting materials, so all uploaded files need batch parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | Annual financial reports for corporate credit have large PDF file sizes, so this accommodates large file upload requirements |
WORKFLOW_NODE_TIMEOUT | 300 seconds | Third-party credit reporting APIs and large financial report parsing may take a long time; this prevents timeout interruptions to the audit process |
MAX_CONTEXT_TOKENS | 8000–16000 | Credit materials include long documents such as annual financial reports, so sufficient context is needed for AI audit judgments |
SENSITIVE_DATA_MASK_RULE | Desensitize ID numbers, bank card numbers, and revenue amounts | Credit application data contains financial sensitive information, so this complies with compliance audit requirements |
WORKFLOW_AUTO_RETRY_TIMES | 2 times | Third-party APIs may have occasional fluctuations; retries reduce audit interruptions caused by single call failures |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Variable updates in workflows do not take effect, and subsequent nodes still use old values. This occurs because no variable transfer link is configured after the variable update node, or the context variable sync update option is not enabled.
- Conclusions returned by AI audit nodes do not match uploaded materials. This occurs because the new context and AI reply output link are not properly distinguished, and AI replies are directly passed as context to the next node, leading to duplicated context or missing key material information.
- Workflows return a 429 status code when reaching third-party API nodes, interrupting the audit process. This occurs because API rate limiting parameters are not configured, or node retry mechanisms are not set, and a large number of calls in a short time trigger third-party service rate limits.
How to confirm correct configuration
- Upload test materials for this category (personal or corporate credit application materials), trigger workflow execution, and check execution logs for each node to confirm that file parsing, API calls, and variable update steps are completed normally.
- After configuring sensitive data desensitization rules, check node output logs to confirm that sensitive fields have been desensitized according to preset rules.
- Adjust the branch judgment conditions of the workflow, submit test applications with different amounts, and confirm that the workflow automatically jumps to the corresponding audit node.
- Simulate multiple workflow triggers, observe whether the node rate limiting and retry mechanisms take effect, and confirm there are no consecutive errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.