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How to Use AI to Improve Recruiter Efficiency and Hiring Outcomes

In this article

Paul Beglinger
Head of People & Operations, Carv
Close to a decade of experience crafting success stories, from startup to global presence.

In recruitment, we talk a lot about providing a positive candidate experience for every job seeker who enters the pipeline. But what about your recruiters’ experience?

Recruitment has become an admin-heavy, around-the-clock profession that often results in unmanageable workloads. And when your recruiters are burning out, it can hurt your business through poor hiring decisions, sick leave, and a negative candidate experience that damages your employer brand.

However, AI-powered recruitment software is already making strides in enhancing the day-to-day experience of recruiters. There are now AI recruiting tools specifically designed to improve the recruiter experience by helping teams worldwide streamline their internal hiring processes, making them faster and more efficient.

Let’s take a look at the efficiency challenges recruitment teams are facing daily, how you can tackle them head-on using AI recruitment tools, and the positive impact this will have on your organization’s hiring outcomes.

The efficiency challenges in traditional recruitment processes

There are a few common efficiency challenges that every talent acquisition team will know all too well. For one thing, the amount of time recruiters have to spend on the high-volume repetitive tasks involved in sourcing and candidate screening is painful to even think about.

There are also a whole load of inefficiencies involved in the way that we communicate with candidates throughout the hiring process – so much so that candidates repeatedly cite lack of feedback and bad communication as the number one reason they’ll drop out of the recruitment process for a new role.

And then there’s the chaos of data management. 

The beauty of hiring with centralized recruitment software is that you’re sitting on a goldmine of hiring data, which means you can use recruitment analytics to optimize your process and get increasingly faster and better at hiring the right people. But the problem is, most recruiters will admit they’re not great at keeping candidate data up-to-date, which leads to inaccurate analytics and bad decision-making.

These challenges disappear when you use an AI-assisted hiring process – here’s how it addresses them.

How AI technology tackles these efficiency challenges

Automated candidate sourcing, matching, and pre-screening

As any recruiter will know, a lot of time-consuming administrative tasks make up the process of sourcing and screening candidates. These initial stages of the hiring process can take up hours, even days, of a recruiter’s time before they have a shortlist of candidates to consider.

But now, thanks to AI technology, this portion of the recruitment workflow can be entirely automated. Recruiters simply provide the job description and job posting, and the AI will handle the rest, producing a complete shortlist of qualified candidates for them to action.

Here’s how the technology does it:

  • AI-driven candidate matching: Using a talent pool tagging system, AI can pull up a shortlist of relevant, warm candidates who are already in your CRM. This saves recruiters a massive amount of time and energy, as these candidates may have already been through an interview process previously with your company.
  • Automated sourcing: AI tools can gather candidate data from diverse sources to pull together longlists of candidates to pre-screen.
  • AI pre-screening: Using text messages and voice calls, conversational AI agents can ask a series of qualifying questions on basic competencies, availability, and cultural fit to generate a strong shortlist of top candidates for recruiters to consider. This reduces the amount of time spent on resume screening and initial phone conversations to qualify applicants.

Automated candidate communication

When you’re dealing with large numbers of job applicants, it’s virtually impossible as a recruiter to keep on top of all your communication streams to keep them engaged and feeling valued.

But good candidate engagement is essential to hiring top talent. One of the biggest benefits of AI for recruiters is that the technology can automate a lot of the communication stages without making it seem impersonal.

Using the data it holds on the candidate profile in combination with generative AI technology, these tools can trigger personalized communications to go out automatically when the candidate reaches new stages of the recruitment workflow in the ATS. 

Automated scheduling 

Scheduling interviews with hiring managers is another stage of the workflow that’s unnecessarily slow because it involves too much back-and-forth communication. By syncing with candidate and hiring manager diaries, the AI can automatically schedule interviews and even reschedule when necessary.

This totally removes the challenge of candidates dropping out of the hiring process because of interview bottlenecks and reduces the unnecessary back-and-forth communications that suck up everyone’s time.

AI-driven recruitment analytics

Your recruitment analytics are essential to keeping your workflows efficient and making smart, data-driven hiring decisions for your organization. Bringing artificial intelligence into how you use your analytics massively strengthens the insights you gain, and can also be used to improve the quality of the data you hold.

Recruiters are notoriously bad at keeping their candidate data clean and up-to-date. It’s just one of these administrative tasks that slows them down and doesn’t always feel as important as it really is.

Tools like Carv can handle all the ATS data input for you

Using candidate summaries, interview notes, and highlights following each candidate conversation, the AI automatically updates the ATS without your recruiters even having to think about it. 

This means you can be confident that your database is full of clean, structured data that provides accurate and usable insights that lead to positive new hires.

It will be no surprise to anyone that artificial intelligence is completely transforming how we monitor and analyze recruitment metrics like time-to-hire and cost-per-hire. The technology can give you real-time insights that help you address process bottlenecks, support better hiring decisions, and forecast future hiring needs appropriately. 

How AI improves hiring outcomes

When you improve recruiter experience and hiring workflow efficiency with AI, this will naturally have a huge positive impact on your hiring outcomes.

And how? When recruiters are happier and less stressed because AI is automating so many of the time-consuming, repetitive tasks that slow them down, this gives them space to focus on the areas of hiring that actually require their human judgment.

AI also improves hiring by eradicating any bias that can get in the way of objective human decision-making. This means every candidate will be assessed on their suitability rather than how the recruiter feels that day or whether they personally like the candidate or not.

These are human biases that are sometimes impossible to avoid, but can easily get in the way of you hiring the best candidate for the job.

Case Study: AI recruiting in action at ORANJEGROEP

Sometimes, the only way to really grasp the full impact a technology can make is to see the results in action.

Before implementing Carv, ORANJEGROEP's recruiters were handling thousands of candidates manually, spending hours processing applications and coordinating interviews across time zones – and in more than ten languages.

This manual approach was creating bottlenecks and unmanageable workloads for their small recruitment team of just 3 recruiters.

When ORANJEGROEP integrated Carv's AI-powered recruitment platform with their existing Carerix ATS, this instantly transformed their recruitment process and workflows. 

Carv’s conversational AI system was able to begin automatically launching multilingual chat flows immediately after candidates apply, handling the whole pre-screening process through human-like conversations, 24/7.

ORANJEGROEP set up AI-powered recruitment flows in 10+ languages, and the results within just six months were remarkable:

  • 15,000+ candidates processed
  • 500 extra hires made
  • 300% increase in hires per recruiter
  • 3.1 FTE in monthly savings (500+ hours in admin time saved per month)

By saving their recruiters so much administrative time, they were able to focus exclusively on providing a great hiring experience to pre-vetted, qualified candidates and making the best hiring decisions possible for the business.

Transform your recruitment team's workflows today

Recruitment doesn't have to be the admin-heavy, burnout-inducing profession it's become.

Staffing and recruitment agencies of all sizes are proving that with the right AI tools, recruiters can get back to doing what they do best: building relationships, making strategic hiring decisions, and actually enjoying their work again.

Your recruitment team deserves better than drowning in manual tasks while candidates slip through the cracks.

If you’re ready to address your process inefficiencies, Carv can help. Request a demo today to see how AI-powered recruitment can transform your team's daily workflow. 

You’ll see first-hand how our AI handles the repetitive tasks that are currently eating up your recruiters' time, how it automates candidate conversations, and creates the kind of seamless automation that gave ORANJEGROEP's team 500+ hours back every month.

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