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The Future of Payroll: A Partnership Between AI and People AI isn’t replacing payroll professionals; it’s redefining their roles. As digital workers become an integral part of enterprise operations, payroll teams will shift from manual processing to strategic advisory functions, leveraging AI insights to drive better decision-making and policy formulation. Businesses that embrace AI-driven payroll management will gain a competitive edge in terms of supporting compliance, cost efficiency, and overall workforce management. The future isn’t just about automation—it’s about transformation. With role- based AI agents leading the way, payroll teams are set to enter an era of unprecedented efficiency and strategic value. *Workday’s Product Statement, found here , applies to any forward- looking statements
tax regulations, and contribute to financial planning. AI agents built for payroll will help support these multi- faceted responsibilities, enhancing efficiency and reducing manual workload. Integrating AI agents with enterprise payroll systems, can help businesses minimise errors, streamline compliance, and improve employee experiences. Most importantly, payroll professionals will have the bandwidth to focus on strategic tasks rather than administrative processes. The rise of AI-driven payroll solutions comes with its own set of challenges and responsibilities. Organisations need AI agents to operate within a structured framework for them to work effectively
and responsibly. One concern is agent sprawl, where multiple AI agents operate without centralised oversight. To counter this, Workday has recently announced the Agent System of Record, a governance framework to guide the agents’ entire lifecycle that supports: Cost optimization: Tracking and managing the expenses related to developing, deploying, and maintaining AI agents. Security and compliance: Addressing the risks that come with AI, like data privacy, bias, and access control. Performance management: Making sure AI agents are meeting their goals and contributing to business success.
One concern is agent sprawl, where multiple AI agents operate without centralised oversight.
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GLOBAL PAYROLL MAGAZINE ISSUE 11
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