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Administrator Guide
Last Updated: 2025-12-12
FAQ: Pay Anomalies

FAQ: Pay Anomalies

The questions and answers in this topic apply to:
  • Payroll for Australia
  • Payroll for Canada
  • Payroll for the UK
  • Payroll for the U.S.
I’ve opted into the innovation service and data categories. Why am I not seeing predictions in Pay Anomalies?
After you opt in to Payroll Machine Learning GA Features innovation service, make sure that you’ve opted into all 6 data categories:
  • Anomalous Payroll Results
  • Payroll Data
  • Payroll Data (Historical)
  • Pay Anomalies Validations
  • Previous States of Payroll Results (Historical)
  • Worker Data
Then, allow up to 3 weeks for Workday to display the Pay Anomalies predictions through the Pay Anomalies report in your tenant.
Why is it important to provide feedback?
The feedback you provide is important for enabling the model to improve the accuracy of its predictions over time. Your feedback provides the model with additional training data on what normal and abnormal pay results look like for your team based on your specific organizational needs.
How do I tag pay anomalies and why is it important?
As you provide feedback, use tags to group results based on similarities, your process, and current payroll usage to help you better find and identify the results. Once assigned, tags can be used as facets on the report. You can select from the list of delivered tags or create your own custom tags. We recommend you provide feedback and use custom tags as often as possible. See Examine Pay Anomalies.
Can the Pay Anomalies report be delivered to auditors on a schedule after a pay cycle?
This report doesn’t need to be scheduled, it automatically brings in every in progress payroll result.
How is the report secured? Unconstrained or can it be constrained by pay group?
The report is secured to both unconstrained and constrained users, so pay partners will only see the results that they have access to via pay group.
Do we need to opt in to People Experience?
No, not for the Pay Anomalies report.
Can payroll partners access the reports and see tags?
Yes, as long as a pay partner has access to see the pay anomaly results, they’ll be able to see associated tags with those results.
Will there be any performance impact on pay calculation by enabling Pay Anomalies?
No, it shouldn’t. The way that the job is set up is to run after calculation.
What does it look like after 10 payrolls when anomalies are learned? What does Workday now do with these?
They’re used to give the model a better idea of what an anomaly looks like in your system. Ideally, the number of reported anomalies will decrease while the quality of reported anomalies increases significantly.
What does the Sync Pay Anomalies button do?
It manually resyncs the pay anomaly results, this is mainly used in the first few periods after pay anomalies is enabled where there might be some out of sync results.
Can I export this data to a spreadsheet?
Yes. You can select the results you want to export and then click
View Details
. You can then use the
Export to Excel
icon. You can also add a comment when tagging.
Can I add facets to the report? If so how do I do that?
You can create a custom report off of the Pay Anomalies report. Note that any added facets need to be indexed for performance reasons. Any nonindexed fields won’t be available.
If there are multiple pay groups in process, do the reports consolidate the results on the single report?
Yes, it processes all in progress results, you can then filter by Pay Group.
How does the Historical Pay Anomalies report work?
The
Historical Pay Anomalies
report is very similar to
Pay Anomalies
report. It enables you to view the prediction results for previously completed and current periods.
Can I opt in and not mark the anomalies for several pay periods then start teaching the model? Would this impact my future use?
Yes. You can give feedback whenever it's convenient to you. For the model to begin being effective, we recommend marking 20-30 results as anomalies per pay period.
How can I test Pay Anomalies feature?
ML features that require data contributions will not function accurately in your Sandbox tenant. To test ML features before deploying them to your Production tenant, use your Preview or Implementation tenants.You can test the functionality but will always be in error as Workday can't collect data from Preview tenants and no model can be built from it. See Concept: Workday AI for Universal Main Subscription Agreement Customers.
Is it possible for Workday to exclude specific pay groups or companies from data collection?
Yes. You can access the
Maintain Pay Anomalies Data Exclusion Filters
task secured to the
Manage: Innovation Services
in the Innovation Services functional area. This task is only available in the Sandbox Preview and Implementation tenants and not in Production tenants.