Paychex Unveils Cutting-Edge AI and Agentic Workforce Management Solutions
Paycor® Smart Scheduler and
According to
“Our latest product advancements were designed on the premise that when AI is seamlessly woven into HR processes and people operations, it becomes a force multiplier for our customers,” said
Key AI-driven enhancements include:
- Paycor Smart Scheduler: AI-powered scheduling updates designed for human-in-the-loop scheduling, utilizing automated, rules-constrained intelligence that matches shifts to employees based on skills, certifications, availability, and business rules. The Paycor Smart Scheduler improves manager productivity and worker efficiency by providing transparency and insights on schedule recommendations, helping organizations place the right people in the right shifts at the right time, reducing scheduling errors and enhancing labor optimization.
- Paycor Agentic Timesheet Approvals: Scores each timecard against defined thresholds, such as missed punches, exceptions, schedule variance, and geo-restrictions, enabling auto-approval. Only anomalies and exceptions are flagged for human review, helping streamline the timesheet approval process leading up to running payroll.
- Paycor Auto-Shifts: Creates optimized shift plans based on pre-set guardrails, including hour limits, rest periods, and fair-workweek rules, resulting in faster schedule builds, fewer errors, and better shift access for employees.
- Paychex Flex AI-Powered Time-Off: Offers historical insights that help to identify peak PTO periods and individual patterns. Intelligent availability introduces AI-assisted recurring availability and min/max hour preferences, simplifying workforce coverage and reducing employee PTO conflicts.
- (Coming soon) Paychex Flex Time-Off Request Agent: Provides an assistant-guided review process for time-off requests, offering recommendations based on factors including holidays, staffing thresholds, availability, and scheduling conflicts. The outputs highlight potential issues and provide the rationale behind recommendations to help avoid friction during the time-off review process.
To learn more about how
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