Many HR teams would say their leave management process hasn’t changed much over the years. Manual paperwork and fragmented communication are the norm, and for employees, the process can be downright frustrating.
When an employee submits a leave request and has to wait days for a response, or to find out they didn’t submit the right documentation, they may feel anxious, upset, or like their needs don’t matter. The leave management experience could be better for employees, and AI is the key to making that happen.
This post explains how AI improves the leave management experience for employees without replacing the HR teams who oversee the process.
Turnaround time (TAT) in leave management is an operational metric that creates pressure for HR teams managing multiple leave requests and deadlines. TAT can also create anxiety for employees who are waiting to find out if their job is protected while also dealing with a personal or health issue.
AI can instantly validate leave requests for completeness and request additional information if necessary. It can also calculate FMLA leave eligibility in seconds (instead of days), and flag the appropriate person when a leave request needs human review. All of this means employees get answers faster, without lengthy back-and-forth exchanges.
Not every worker sits at a desk and has access to a laptop, nor do all employees work a typical 9-to-5 shift. Frontline employees—nurses, manufacturing workers, and delivery drivers, for example—need a leave management process that works for their environment and schedules. The best AI-driven leave management systems let employees submit a leave request anytime, from wherever they are, via a self-service, mobile-friendly portal.
A self-service portal empowers employees to submit a leave request without having an uncomfortable, in-person conversation about personal matters. They can also track the status of their case from their mobile device, instead of pinging HR and waiting for a reply.
AI helps employees ease back into work after an illness or injury, with accommodation recommendations based on actual data. AI can connect to the Job Accommodation Network to find the best options for returning employees, giving them visibility into the accommodation options HR offers.
Creating a better employee leave experience with AI-powered systems also benefits HR teams. There’s less admin work, less back-and-forth communication, and fewer worries about missing important deadlines, because AI automation keeps everything on track.
Of course, humans will always be central to any HR function. AI can support HR tasks, but it doesn’t replace HR teams. Learn more about how an AI absence management platform can create a better experience for both employees and HR.