Customer onboarding reconciliation
A customer enters through several channels, leaving conflicting identity records and incomplete onboarding evidence.
The challenge behind the workflow.
A customer enters through several channels, leaving conflicting identity records and incomplete onboarding evidence.
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 applications
- Identity reference records
- Account master data
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
Map identifiers and compare required fields across application and account records.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Create an exception view for missing evidence, conflicting values, and duplicate candidates.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish an onboarding review queue with source references and accountable owners.
Make the output available to the right people with appropriate access, ownership, and review evidence.
An onboarding exception queue
Make the next run easier.
Reusable mappings replace repeated spreadsheet comparisons when another channel is added.
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
Time spent resolving onboarding data exceptions
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
An authorized reviewer resolves identity conflicts before records are merged or access changes.
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.