Regulatory compliance (KYC/AML)
Know Your Customer (KYC) and anti-money laundering (AML) teams must reconcile customer identities, ownership relationships, screening results, and transaction alerts across disconnected systems. Incomplete evidence and duplicate cases slow reviews and make it hard to distinguish a data problem from a matter requiring investigation.
The challenge behind the workflow.
Know Your Customer (KYC) and anti-money laundering (AML) teams must reconcile customer identities, ownership relationships, screening results, and transaction alerts across disconnected systems. Incomplete evidence and duplicate cases slow reviews and make it hard to distinguish a data problem from a matter requiring investigation.
Connect customer, account, transaction, and finance data so operations and risk teams can work from consistent definitions. These workflows address fragmented systems, time-sensitive exceptions, and decisions that need a clear evidence trail.
Data to bring together
- Customer identity, beneficial ownership, and due-diligence records
- Approved screening results and transaction-monitoring alerts
- Case histories, review schedules, and evidence requirements
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Link customers, legal entities, owners, and accounts using approved matching rules. Preserve screening dates and source references, then validate required evidence and flag unresolved identity conflicts without automatically merging records.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Bring existing screening and transaction-monitoring results into a governed case view. Identify duplicate alerts, missing documents, and overdue reviews; use configured AI assistance to summarize source-backed evidence for investigators.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish role-restricted KYC and AML review queues with accountable owners, evidence links, disposition history, and escalation status. Refresh approved views as new evidence arrives and retain the record used for each review.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A governed KYC and AML review workspace
Make the next run easier.
A reusable customer and case model reduces searches across screening tools, document stores, and transaction systems. Compliance reviewers can follow one evidence trail while data teams maintain common validation rules.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Track evidence preparation time, duplicate cases, overdue reviews, and the proportion of cases returned for missing information.
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Compliance specialists define jurisdiction-specific requirements, assess potential matches, and authorize reporting or account actions. Genedata supports the data workflow; it does not certify compliance or replace screening providers and investigator judgment.
AI with professional judgment.
Use AI to summarize evidence and explain exceptions. Credit, account restrictions, and financial-crime decisions remain subject to authorized review.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.