AI applications in Payroll Accounting

Introduction & Motivation

• Why AI in payroll isn't just hype, but a valuable tool.
• Current State: Automation vs. Generative AI.
• Goal: To save time and provide support for complex tasks.

Practical Applications

• Legal and Collective Bargaining Research: Quickly Summarize Changes.
• Employee Communication: Explaining Complex Topics in an Easy-to-Understand Way.
• Troubleshooting and Validation: Identifying Patterns in Large Datasets.
• Support for HR-related tasks such as performance reviews and job descriptions.
• Summarize knowledge effectively: your personal knowledge podcast.

The Art of Prompting: Payroll Edition

• Introduction of the R-O-C-E method (Role, Object, Context, Outcome).
• Best Practices: Provide context, include step-by-step instructions, and define the output format.
• Avoiding mistakes: Precision, not hallucinations.

Live Demo / Real-World Examples

• Convert legal texts into checklists.
• Formulate answers to employee questions.
• Compare collective bargaining agreement provisions.

Data Security & Limits

• Privacy: Do not include real names or sensitive data in public AI systems.
• Anonymization and Fact-Checking: How to Verify AI Results.