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 errors
  • Manual categorization and resolution of inquiries was time-consuming and inefficient

Approach

  • Applied Machine Learning text classification to automatically categorize inquiry tickets using Vertex AI from Google Cloud Platform
  • Identified 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 issues
  • Provided data-driven insights into systemic payroll issues to address at source

The client: An Academic Teaching Hospital (Sudbury, Canada) Employees: >6.5K Annual Operating Budget: $100M

The client: An Academic Teaching Hospital (Sudbury, Canada) Employees: >6.5K Annual Operating Budget: $100M

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