Banking implementation kitGENEDATA / 01

KYC / AML investigation

Turn fragmented customer records into a reviewable investigation.

Shared context · Lineage · Governance
Connected
Your sources
Synthetic records
SQL validation
Review criteria
Connected intelligenceWorking pattern
Governance
Business impactA reason-coded review queue
Shared contextLineageGovernance
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From download to first run

A practical starting point for your team.

1

Download and extract the kit. No platform account is needed to run the local validation.

2

Inspect the CSV inputs and the data dictionary. Every record is synthetic.

3

Run the Python script to execute the SQL rules against an in-memory database.

4

Compare the output with the expected results, then change a rule and investigate the difference.

5

Map the pattern to your Genedata workspace with approved sources, access controls, and a named review owner.

InputCustomer records and screening observations
RuleRoute missing identity evidence and screening flags to a human reviewer.
OutputA reason-coded review queue

Acceptance checklist

  • Confirm each record has a stable customer identifier.
  • Keep the screening source and observation time with each flag.
  • Verify that missing identity evidence enters the review queue.
  • Record the reviewer and disposition before closing a case.

Production prerequisites

This example uses synthetic screening flags. It does not perform sanctions screening, establish identity, or determine regulatory compliance.

Confirm source access, field mappings, retention, test coverage, error handling, and the approval workflow in your own deployment before using business data.

Review integration detailsReview security and deployment