Dina Siclovan’s HR team was spending far too much time on emails. As the director of team member experience at Breeze Airways, she knew that while the company would keep growing, the size of her team would not. 

“We spent a lot of time just answering repetitive questions, even though the information already exists on our intranet. There are hundreds of policies, and many answers depend on the context,” she said during a From Day One webinar. “So we saw a need.” 

For many helming an HR department today, “the strategic work is often done in the leftover hours,” Jim Barnett, CEO and co-founder of HR tech platform Wisq. AI can now handle the repetitive tasks that gobble up valuable hours, but Barnett believes it can do even more.

Together, Siclovan and Barnett—plus Wisq’s AI-powered HR teammate Harper—have changed not only the way Breeze’s HR team gets done, but the work that’s theirs to do. 

Context Is Everything

HR is seldom short on documentation. Any given team might have reams of policies about employee leave and PTO, performance reviews, performance improvement plans, rewards and recognition, benefits packages, and payroll. Then there’s the information on individual employees, like location, performance, team structure, skills, and tenure.

But it’s usually just that: Reams of paper (digital or otherwise) with little relation to each other and plenty of room for error and interpretation. 

So when a long-tenured employee is moving from one city to another and in the midst of that has a medical emergency that requires complex surgery—what do you do? Situations like this may be governed by a policy, but they’re handled under precedent and case specifics. 

“The AI opportunity is so large and so diverse,” Barnett said. “It’s not talking to a bot about whether you have President’s Day off. These workflows are complex and compliance-ridden with lots and lots of risk. You have to have HR reasoning because you want to get this right, and it’s going to get more complex over time.”

There’s also opportunity in finding gaps in all those policies. When their AI agent Harper started identifying patterns in employee questions at Breeze, Siclovan realized that in some cases no process, policy, or guidance existed. 

AI is equipped to assist there too, says Barnett. The right AI agents are capable of fielding context-dependent questions, identifying patterns, finding policy gaps, and now—building the processes that underlie the policies. 

“There should be both manual and automated learning loops,” he said. As questions come in, “patterns emerge, which can trigger an alert that there’s a missing policy. It’s really important that you put these learning loops into your system so it can get smarter and grow and get better over time.”

Barnett said he often finds that HR teams are operating on ambiguous and conflicting policies, but “your system should be able to fix this for you.” AI can tell you what the workflows are and recommend what that flow should be, and then it should tell you the integrations you need. It can even help you build a business case and line up the resources to build it. But it’s smarter than to take an idea and run with it. Harper knows “when to escalate, triage, and hand off to a human,” he said.

The airline industry is heavily regulated at both the federal and state levels, so Siclovan can’t simply hand the reins to a disembodied agent. Breeze employs a complex and varied workforce of maintenance crew, flight attendants, and pilots distributed across airports around the U.S., plus the folks, like her, in corporate headquarters. “Essentially, HR has to support the operation that runs 24/7, and we work a standard eight-to-five Monday-through-Friday schedule.”

Siclovan’s team once spent a lot of time answering questions from all directions about benefits, payroll, recruitment, and onboarding, “and now they’re coaching leaders,” she said. “They’re solving team member relations issues. They’re helping with workforce planning and reorganization design.”

This has been a successful partnership because, Siclovan explained, we started with a clear problem to be solved. “Ask yourself, ‘Where do you spend too much time? What questions are on repeat every day? What work doesn’t actually require human judgment?’ That’s where you start.”

Editor’s note: From Day One thanks our partner, Wisq, for sponsoring this webinar.

Emily McCrary-Ruiz-Esparza is an independent journalist and From Day One contributing editor who writes about business and the world of work. Her work has appeared in the Economist, the BBC, The Washington Post, Inc., and Business Insider, among others. She is the recipient of a Virginia Press Association award for business and financial journalism. She is the host of How to Be Anything, the podcast about people with unusual jobs.

(Photo by S and V Design/iStock)