AI is a rapidly evolving field. Strive to stay up to date with the latest developments in AI that could have an impact on how your payroll department operates and the nature of your job responsibilities.
Attending relevant conferences, workshops and webinars and reading industry publications can all help you to stay informed. And don’t overlook the AI experts in your midst: Consider tapping into the knowledge of IT professionals and data scientists at your company, too.
Payroll departments are data-driven by nature, and most leading payroll organizations today use data analytics to track everything from first-time approvals to how long it takes to complete the payroll cycle from end to end. However, advanced analytics with AI opens the door to working with data in ways that extend far beyond the performance of the payroll organization. And bringing together insights from payroll data with other workforce analytics can help businesses make more informed decisions related to talent management, performance, human resources strategies and more.
Payroll professionals who want to adapt their payroll careers for the AI era will want to consider pursuing certifications or courses related to AI and data analysis. Strategic work should also become more of a focus. Earlier in this post, we mentioned that the automation of routine tasks with AI can free payroll professionals to focus on value-adding activities. Here are some examples of that type of work:
Examining compensation data to evaluate pay equity, competitive salary structures and cost-effectiveness in compensation strategies
Delving into data to help the business better understand what combinations of pay, benefits and perks help to reduce talent attrition and recruitment
Forecasting labor and training costs to enhance workforce planning and budgeting
Innovating self-service systems for employees, giving them more control over their payroll information and creating a sense of ownership over their financial details