Baylor University uses embedded AI to raise payroll data validation efficiency 65%
Baylor University· United StatesOracle Fusion HCM Analytics · Oracle Payroll Activity Center · Oracle Fusion Cloud Human Resources +1Baylor University combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center, using new AI-enabled capabilities as part of its payroll automation transformation. The change delivered a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time.
Overview
Baylor University combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center, using new AI-enabled capabilities as part of its payroll automation transformation. The change delivered a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time.
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Inspect the highlighted sourceThe challenge
Baylor wanted to improve payroll automation and reduce manual, time-consuming payroll work.
The solution
Baylor combined Oracle Fusion HCM Analytics with Oracle Payroll Activity Center to support payroll automation and use new AI-enabled capabilities as part of their emerging transformation roadmap.
Reported business value
The transition resulted in a 65% increase in payroll data validation efficiency and a 49% reduction in payroll processing time, helping HR teams focus on higher-value services for the Baylor community.
Sources
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