How to implement the use of AI in hiring critical positions

In a tight and fast changing labor market, implementing AI in hiring helps you to rapidly scale and pivot your recruiting efforts across rapidly changing locations, job profiles and hiring volumes.

Conversational AI in Hiring Creates Scale, Speed, and Efficiency

Because a recruiter can only make a limited number of conversations in a day, especially in the early-stage where you have a large amount of candidates to respond. That’s where conversational AI (CAI) can help. CAI takes all of the early-stage communication tasks off your recruiting teams’ hands like handling all pre-screening, FAQs, candidate engagement, and interviews scheduling/ rescheduling so your staff can focus on more important tasks.

Without CAI, your talent acquisition staff will spend at least 80% of their time on those tasks. According to Mya, a leading AI recruiting platform agency, the staffing agencies get more profitable when their recruiters can spend 100% of their time engaging candidates and hiring managers. Therefore, the benefit of conversations is clear: it gives you the ability to scale conversations with candidates in any time zone for any job profile.

When implementing correctly, CAI can act as a force multiplier and accelerant. When you get a requisition for hundreds of open positions, you can deploy CAI to have thousands of conversations in a matter of minutes instead of weeks. It also results in more engaged, qualified and prescheduled candidates in a matter of hours.

How to Use AI in Hiring for Critical Infrastructure Positions

First, use AI to bring scale, speed, and efficiency to your recruiting operations. Next, upload a list of candidates that you’d like to engage with. Once your candidate list is uploaded, all that’s left to do is deploy a tested and proven AI conversation. This process can be applied to support hiring in any industry at any scale.

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