Workflow Orchestration for Sanctions List Screening and KYC

What this category of data looks like

Sanctions list screening data primarily comes from public sanction lists released by regulatory agencies, compliance lists from international organizations, and industry compliance shared repositories. Update frequency is irregular, adjusted based on changes to regulatory policies, with no fixed regular update cycle. Most documents are in structured format, containing fields such as name, identification number, entity name, sanction effective date, sanction basis, and others. Date fields use the YYYY-MM-DD format. Identification numbers must match the coding rules of the corresponding country. Some entries include associated entity identifiers.

Constraints Imposed on Workflow Orchestration

Data sources for this category are scattered, and updates have no fixed cycle. Workflows must support dynamic pulling of the latest lists, and static caching must be avoided to prevent compliance risks caused by outdated lists. Field formats have strict compliance requirements. Format validation nodes must be embedded in workflows to perform regular expression matching on the identification number and sanction effective date fields. Some entries have missing fields, so exception branch handling logic must be configured to skip invalid entries or trigger manual review. List data volume grows gradually with updates, so batch processing sharding parameters must be set to avoid single-node processing timeouts that affect overall workflow stability.

How to Set Configuration Values

Configuration Item	Recommended Value	Rationale
`HTTP_REQUEST_TIMEOUT`	`600 seconds`	Sanction list data typically has a large volume, so sufficient time must be reserved for conventional interface requests to pull and parse data
`Regex Validation Rule`	Official regular expressions corresponding to the identification document type	Must strictly match the format requirements of `identification number` and `sanction effective date` to meet compliance validation standards
`Exception Node Retry Count`	`2 times`	List pulling may fail due to network fluctuations; limited retries can reduce invalid workflow interruptions
`Batch Processing Shard Size`	`500 items/shard`	Processing too many entries in a single batch will cause workflow timeouts; sharding balances processing efficiency and stability
`Exception Branch Trigger Condition`	`Field validation failed`	Entries with format errors must be separately routed to the manual review link to ensure compliance

The parameter values provided on this page are all common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Phenomenon: The workflow returns a field is empty error log after running. Cause: The Regex Validation Rule is not configured, and missing field entries in the list data are not filtered out.
Phenomenon: A code execution node added after an AI chat node does not take effect, and the running result still retains think tag content. Cause: The code node is not configured to execute immediately after the AI node outputs, or the text format of the AI output is not correctly matched for replacement.
Phenomenon: The workflow cannot pull historical running records. Cause: The workflow's running log storage configuration is not enabled, or the log retention period is set too short.

How to Verify Proper Configuration

Manually trigger the workflow, input a single piece of test data with compliant format, and check whether the output results of each node meet expectations.
View the workflow's running logs to confirm that all links including list pulling, format validation, and code processing have executed successfully.
Adjust the Batch Processing Shard Size to a smaller value, run a batch test, and confirm that each shard can complete processing normally without timeout errors.
Trigger a test data with abnormal format, and confirm that the workflow automatically routes to the preset exception handling branch.

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.