Reference: Workday AI Data Contributions

Based on your organization’s subscription service agreement, these features require you to contribute your tenant data to maximize the benefits of artificial intelligence (AI) and machine learning (ML).

Cross Application Services: Intelligent Core Generally Available Features

ML Feature	Opt-In Data Category	Considerations
Machine Learning Recommendations for Change Job	Custom Organization Data Supervisory Organization Data Staffing Event Data Worker Profile Data	Country exclusion is unavailable for the Supervisory Organization Data and Custom Organization Data categories.

Financials: Financial Management Generally Available Machine Learning Features and Third Party Services

Data Category	Consideration
Customer Payment Data	To enable Intelligent Customer Payment Matching, you must have customer payment transaction data in the past 30 days. This functionality provides beneficial recommendations only when you’re processing customer payments in Workday.
Expenses Data	To use the Expense Protect feature, you need at least 10,000 expense report lines in your tenant. When users submit expenses, Expense Protect automatically evaluates them to provide risk levels, recommendations, and insights.
Journal Line Data	Before you can use the Journal Insights feature, you need at least 12 months of existing historical data.
Supplier Invoice Data	You can enable ML suggestions for your top 5 most commonly used selections for these worktags on supplier invoice lines: Cost center Location Region Spend category After you opt in to the Innovation Service, you must enable worktag recommendations on supplier invoice documents in the Supplier Accounts Options section on the Edit Tenant Setup – Financials task.
Accounts Receivable Data	To enable customer overpayment reason and worktag recommendations, you need a minimum of 3,000 historical customer overpayments. To enable recommendations for customer invoice lines, you need a minimum of 3,000 customer invoices with the revenue category and sales item fields.

Financials: Receipt Scanning for Expenses

Data Category	Consideration
Receipt Scanning for Expenses	You can scan receipts in PDF, JPG, TIFF, and PNG file formats.

HCM: HCM ML Features and Third Party Connectors GA

To enable ML for these features, you must enable the

HCM ML Features and Third Party Connectors GA

service and enable data contribution for each feature.

ML Feature	ML Categories for Feature	Opt-In Data Category	Considerations
ML for Worker Profile and Skills	Skills Cloud Skills Suggestions and Verification	Job Requisition Data Talent Profile Data Worker Profile Data	Workday recommends enabling Skills Cloud to maintain the skills data of your workers. Country exclusion is unavailable for the Talent Profile Data and Job Requisition Data categories. While not required, Workday recommends you opt in to contributing data for the Skills Cloud and Skills Suggestions and Verification categories.
ML for Recruiting	Suggested Jobs for External Candidates Suggested Skills for External Candidates Suggested Skills for Job Requisitions	Job Requisition Data	Country exclusion is unavailable for the Job Requisition Data category.
ML for Learning Core	Learning Skills Tagging Machine Learning Recommended For You Related Content Recommendations Based on Your Skills to Develop	Learning Data	Use the Edit Tenant Setup - HCM task to configure the Related Content Recommendations worklet. Use the Maintain Learner Experience task to configure the Based on Your Skills to Develop and Machine Learning Recommended For You worklets. You must opt into the Learning Data category to use the Based on Your Skills to Develop worklet. Workday provides a non-ML version of recommendations if you don't opt into it. You must opt into the Learning Data category to use the Related Content Recommendations worklet. You must opt into the Learning Data and Worker Profile Data categories to use the Machine Learning Recommended For You worklet. Workday updates ML data every 24 hours, Monday through Friday.
ML for Talent Marketplace	Talent Marketplace	Demographics Data Job Requisition Data Learning Data Projects Data Skills Data Talent Opportunity Marketplace Data Worker Profile Data	Country exclusion is unavailable for the Job Requisition Data and Talent Opportunity Marketplace Data categories. Talent Opportunity Marketplace Data and Worker Profile Data are required. For details about which features depend on these data categories, see Steps: Set Up Talent Marketplace.
ML for Career Hub	Career Hub	Job Requisition Data Learning Data Talent Opportunity Marketplace Data Talent Profile Data Worker Profile Data Skills Data	You must be a Career Hub customer and meet certain requirements to use this feature. Contact your Customer Success Manager for information on Career Hub. Country exclusion is unavailable for the Job Requisition Data, Talent Opportunity Marketplace Data, and Talent Profile Data categories. Talent Profile Data and Worker Profile Data are required. For details about which features depend on these data categories, see Steps: Set Up Career Hub.
ML for Manager Insights Hub	Manager Insights Hub	Learning Data Talent Opportunity Marketplace Data Worker Profile Data	Country exclusion is unavailable for the Talent Opportunity Marketplace Data category. The Suggested Opportunities section of Manager Insights Hub uses ML to make personalized suggestions. To access this functionality, opt in to the HCM Machine Learning GA Features service and relevant data categories, and enable Skills Cloud and Interests.

If you enabled Skills Cloud through the Workday Graph innovation service, your data selection and Skills Cloud configuration remain valid.

You can access the

Innovation Service Data Details

report to drill into the fields tied to the HCM ML Features and Third Party Connectors GA service.

HCM: Workforce Management Machine Learning Services

Data Category	Consideration
Time Configuration Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the ML model weekly with all time entry template, work schedule calendar, and time calculation data.
Worker Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the ML model weekly with limited worker organization and job data for workers who have entered time.
Historical Schedule Block Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the ML model weekly with historical schedule blocks for workers.
Worker Time and Absence Data	You must contribute data from this category to use the Workday Time Anomaly feature. Workday updates the data used to train the ML model weekly with all workers' time block, time block history, time off entry, and time review event data.
User Feature Delivery Data	You can contribute data in your tenant from the User Feature Delivery Data category to help Workday detect time anomalies. To see which data from this category you're contributing, run the Innovation Service Data Details report for Workforce Management Machine Learning Services. Country exclusion is unavailable for this category.

Payroll: Payroll Machine Learning GA Features

Select

Payroll: Payroll Machine Learning GA Features

from the

Innovation Services Valid for Maintain Data Opt-In

field. Select the

Opt In

check box for these categories:

Data Category	Consideration
Anomalous Payroll Results	You must contribute data from this category to use the Workday Pay Anomalies feature.
Payroll Data	You must contribute data from this category to use the Workday Pay Anomalies feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the ML model.
Payroll Data (Historical)	You must contribute data from this category to use the Workday Pay Anomalies feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the ML model.
Pay Anomalies Validations	You must contribute data from this category to use the Workday Pay Anomalies feature.
Previous States of Payroll Results (Historical)	You must contribute data from this category to use the Workday Pay Anomalies feature. We recommend that your tenant has at least 6 pay periods or more of historical payroll data before opting into this feature. This ensures there's enough training data for the ML model.
Worker Data	You must contribute data from this category to use the Workday Pay Anomalies feature.
P45 Tax Form Scanning	You must select this category to use the Workday P45 Tax Form Scanning feature.

To enable Pay Anomalies functionality and build tenanted models, you must opt in to these categories:

Anomalous Payroll Results

Payroll Data

Payroll Data (Historical)

Pay Anomalies Validations

Previous States of Payroll Results (Historical)

Worker Data

Not selecting these data categories will result in the ML model failing to build and deploy as designed. The Pay Anomalies feature won't be fully functional without these models.

Workday recommends that you don't opt out of the innovation service once you run the Pay Anomalies report to view predictions. Opting out disables the feature and causes data synchronization issues.

People Experience: User Experience Machine Learning

Data Category	Consideration
Workday-Generated User Information	Workday displays the 3 recommended tasks in the Quick Tasks section on the home page based on: The trends occurring across tenants. User activity in your production tenant.
Knowledge Management Articles	You can contribute data in your tenant from the Knowledge Management Articles category, enabling Workday to recommend relevant articles to users.
Search Query	You can contribute data in your tenant from the Search Query category to provide more relevant and personalized search results when using Workday Search.

Spend Management: Spend Management Machine Learning GA Features

Data Category	Consideration
Spend Transaction Data	If you opted in before Workday added support for purchase orders, Workday displays an Opt In to Additional Data check box. Select this check box to contribute data for purchase order recommendations. When you opt out of the data contribution, Workday purges your data within 2 weeks.

Adaptive Planning: Planning GA Features

ML Feature	Data Category	Consideration
Planning Agent	Operational Telemetry and Agent Traces	Workday collects operational telemetry and agent execution traces to: Monitor system behavior and performance. Improve the product experience, guide manual improvements, and ensure system reliability over time. Workday doesn't use the data to retrain or fine-tune the pre-trained foundation model . You can disable the collection of this trace data at any time by selecting Administration General Setup Disallow Data Contribution in Adaptive Planning. Disabling the option can impact our ability to troubleshoot any unexpected behavior with agent responses.