AbsenceSoft Puts AI Chat Between Employees and the Leave Request Form

Thirty-one percent of employers named calculating eligibility for leave entitlements a top challenge, according to AbsenceSoft's 2026 State of Leave and Accommodations report. On the employee side, the confusion is just as measurable: 39% of employees who had taken a leave described the process as unclear or confusing, per the company's 2026 Leave and Accommodations Employee Experience Report.

AbsenceSoft, a provider of leave and accommodations management SaaS, this week announced a product built to attack that first step. MyAbsence, powered by AbsenceSoftAI, pairs an AI-guided chat with a visual leave planner. It sits in front of the employee self-service portal and aims to stop the wrong-request problem before it reaches HR.

What does the tool actually do?

The chat converts the traditional leave request form into a question-and-answer exchange. It helps an employee select the correct leave reason and asks the questions needed to identify which state, federal, and company policies may apply. The leave planner then shows a visual preview of the proposed leave, including whether the time off would be paid or unpaid, before the employee submits anything. Workers can download the plan or send it straight to their leave team for review.

The planner runs on the AbsenceSoft Compliance Engine, known as ACE, which the company says draws on more than 10 years of compliance data and more than 200 federal and state laws. Because the plan reflects the company's policies alongside employment data already on record — location, tenure — the chat asks only questions relevant to that person.

One design decision matters for compliance teams. AI guides the conversation, but ACE and human HR staff make every determination. The tool routes information; people decide outcomes.

"Taking time away is stressful enough without wondering what you're entitled to or whether you'll be paid," Jaclyn Zhuang, Chief Product Officer at AbsenceSoft, said in the announcement. "Now employees can see what their leave could look like before they apply, and HR teams start every case with more accurate information to meet compliance deadlines."

CEO Chris Murphy framed the launch against rising demand. "Employees want to know where they stand before they ask, and HR teams want to start every case with confidence," he said. "The demand is only growing."

What are the adoption questions for HR buyers?

The vendor's claims are straightforward: more accurate requests from day one, fewer follow-up questions, cases that stay on schedule. For leave teams, the pitch is that employees arrive with a clear plan rather than a stack of questions. For employees, an easier experience makes self-service more appealing than picking up the phone.

Early customer feedback is limited but concrete. Center for Human Development, a human services organization, is among the first customers using MyAbsence. "The chat gave me answer choices that matched my situation and picked up on what I needed right away," said Patricia Rodriguez, the organization's HR Director. An employee who had never taken leave before told her the process was "so easy."

Her team reports downstream effects. "I'm not correcting people's cases as much," one team member said. Rodriguez also flagged the visual leave plan as a tool for employees who struggle to follow how leave works. "The visual leave plan will help people understand their leave far better," she said. "It's a valuable tool."

For HR leaders weighing similar tools, the open questions are the standard ones for any AI-assisted intake layer: whether the compliance engine's coverage of the 200-plus laws matches their actual footprint, whether self-service adoption reduces call volume in practice, and whether cleaner intake data measurably cuts missed compliance deadlines. A single early customer's anecdotes do not settle those questions.

The cost side, though, is already documented in AbsenceSoft's own research. Wrong requests consume HR time, push cases behind schedule, and create compliance risk when deadlines slip. AbsenceSoft is betting that fixing the first question — which leave do I request? — is where that rework chain begins and where AI can safely assist, as long as determinations stay with humans.