“This pressure to do more with less can be really challenging, let alone when you start to bring in a lot of what we’re seeing today in spam and in fraud,” said Meredith Johnson, chief product officer at applicant tracking platform Greenhouse. 

Recruiters face more than an applicant volume challenge today: They also have to sift for the highest-quality candidates who have sincere enthusiasm for the role while lazy applicants spam hundreds employers with AI-generated resumes and bad actors try to wiggle their way into companies to steal trade secrets or work on behalf of hostile nations—a problem few recruiters ever imagined they would encounter.

Johnson spoke during a From Day One webinar on the impact of AI on hiring and how talent acquisition teams can stay ahead of the curve. Greenhouse is among the companies leading the charge on combating applicant fraud while preserving the candidate experience for good-faith applicants. The company recently announced its partnership with Clear to verify applicant identity and combat fraud and spam at the top of the hiring funnel. 

Adopting AI for Maximum Impact

For companies that haven’t jumped on the artificial intelligence train, the good news is that the barriers to entry are low, and the easiest tools to adopt can offload some of the most time-consuming tasks. Early stages of the hiring process are ideal for AI intervention. It’s in the setup phase that TA teams often spin their wheels, Johnson said, over-polishing job descriptions or hand-tailoring candidate outreach emails one at a time. This, she noted, is a great place to start with AI.

“You might send a communication that says, ‘I hope this email finds you well. We’re currently looking for individuals with these skill sets for this role, and I was really impressed with your experience in: Enter personalization token that’s drawing from all that goodness automatically for you.’” Once the recruiter reviews and signs off, that outreach is ready to roll. 

And when you’ve built a solid slate of candidates, recruiters can use AI to generate questions tailored to the role and most-sought-after attributes. Though this tool has been available only for a few months, Johnson said it’s their most used AI-assisted feature, with an 80% acceptance rate, “meaning that 80% of the time, our users are just accepting, without any condition, the suggested questions that are being provided.”

Of course, what every recruiter hopes to find are those candidates who are not only qualified, they’re interested and able to take on a new role. Greenhouse is now using sentiment analysis to suss out the candidates that have the greatest affinity toward specific jobs. 

“One of the capabilities that we rolled out with the auto-generated sentiment analysis that automatically interprets and categorizes information from the prospect email, and so it can turn back results and signals to the hiring team. How interested are they? Could it potentially be bad timing?”

The goal is to move the best matched and most engaged talent along in the hiring process. Actually hiring stand-out applicants can be a matter of a good candidate experience, which can be a differentiator for an employer, she says, especially as companies lose good candidates among a deluge of applications.

Companies may be prone to using time-saved as the primary KPI when folding AI into recruitment, but most recruiters don’t just want to move faster, they want to make better hires. Prioritizing–and measuring–the candidate experience mitigates against a hiring strategy that prizes speed at all costs. “You’re starting to get into that higher altitude of a more effective process, and that’s really important,” she said. “We want to do it with speed and have a little fun, but really, we want to get a really, really good result, and that’s what matters.”

Greenhouse doesn’t operate without internal guardrails. The company runs a formal AI ethics committee that reviews all their products and updates, and they’re keen on transparency into not only what the tools do, but also what models they run on. Candidates can even opt out of some features, like interview recording and AI assistants in calls.

Johnson sees challenges and opportunities beyond just sourcing, but deep “into the actual meat of recruiting.” As a hiring manager, she’s using Greenhouse’s platform to build her own team, and it’s through first-hand experience that she’s testing and developing new tools.

“We think about not only solving problems in this space, but doing it with purposeful delivery and placement of AI-supported and AI-assisted capabilities,” she said. “There’s lots to uncover there where we can provide more AI-assisted time saving, efficiency, and boosting experiences in the interview process.”

Editor’s note: From Day One thanks our partner, Greenhouse, 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.

(Photo by imaginima/iStock)