Case Study #9 Leveraging AI to Streamline Payroll Inquiry Resolution Project: Payroll Reconciliation Problem(s) New payroll system rollout led to over 8,000 employee inquiries about pay errorsManual categorization and resolution of inquiries was time-consuming and inefficientApproach Applied Machine Learning text classification to automatically categorize inquiry tickets using Vertex AI from Google Cloud PlatformIdentified key categories of payroll errors based on inquiry text with overall precision of 84%Outcomes The categorization helped identify issues by category for mass resolution of similar issuesProvided data-driven insights into systemic payroll issues to address at sourceThe client: An Academic Teaching Hospital (Sudbury, Canada) Employees: >6.5K Annual Operating Budget: $100MThe client: An Academic Teaching Hospital (Sudbury, Canada) Employees: >6.5K Annual Operating Budget: $100MPreviousNextQUESTIONS? LEARN MORE ABOUT US TODAY. Get Started