More Recruiting Tools, Less Recruiting

Here's a simple test for whether a piece of software saves you work: after you adopt it, is there some task you've stopped doing? A task you now do a little faster doesn't count. It has to be gone from your day.

Most AI recruiting tools fail that test, and I think that explains something odd about recruiting teams right now. AI tools were supposed to give recruiters their time back. Instead, by one estimate, the average talent acquisition team now manages eleven different platforms, and recruiters spend more of their day reviewing AI output, fixing integrations and sitting through vendor training than talking to candidates. More automation has somehow produced less recruiting.

Look at what the tools actually do. An AI tool writes the job description, but a recruiter still reviews it, edits it and posts it. Resume ranking works the same way, since the recruiter opens each flagged resume anyway. Outreach sequences get drafted automatically and then read and approved message by message, and interview summaries get checked against the recruiter's own memory of the call. Every one of these tools kept a human checkpoint, so every stage still needs a recruiter's attention, only a bit less of it.

That's augmentation, and there's nothing wrong with augmentation. The trouble is that it was sold as automation. The pitch was that recruiters would be freed up to focus on strategy and relationships. What many of them got was ten browser tabs, three dashboards and a Slack channel devoted to ATS integration problems.

You can see the cost in how recruiters spend their hours. A 2025 study found that recruiters at companies with four or more talent acquisition tools spent 41% of their working time on administrative and tool-management tasks, against 27% at companies with leaner stacks. Over an 8-hour day, that 14-point gap is more than an hour that moved from candidates to software.

An hour matters because work at the front of the funnel piles up fast. Suppose a recruiter has 7 open requisitions, each with 60 or more applicants. That's over 400 people waiting to hear something. A smarter resume parser won't clear that backlog. What clears it is not needing a human to make the first contact.

As far as I can tell, that's what the teams who did get time back have in common. They didn't buy the most sophisticated stacks. They drew a clear line between tasks the AI owns completely and tasks the recruiter owns completely, with nothing in between that both of them have to touch.

If you're going to hand over one task completely, which should it be? I think it's the screening call. Before it, things move quickly: someone applies and gets an automatic confirmation. After it, things are scheduled and predictable, from interviews to a decision to an offer. The screening call sits in between, and it's where most recruiter time goes and where most candidates drop out. The volume is high, the criteria differ from role to role, and you can't batch it.

By one estimate a recruiter can run about eight good screening calls a day. At that rate a campaign with 150 applicants takes nearly four working weeks of calls just to produce a shortlist. Nothing upstream changes that number, whether it's a smarter ATS or an AI sourcing agent. The limit is the call itself. Most AI recruiting tools either skip it, because it's technically hard, or offer async video answers, which candidates dislike and recruiters still have to sit and watch.

The call is the piece we chose to build Asendia for. It runs those screening conversations on its own, with no human on the line, whenever the application comes in, evenings and weekends included. The easiest way to judge it, though, is by what's waiting on the recruiter's desk afterward. For each candidate there's a written qualification summary with excerpts from what they actually said, and the whole group arrives as a ranked shortlist. Each call was a structured conversation against the criteria set for that role, so every candidate was asked the same core questions, and the summaries can be compared side by side instead of pieced together from different calls. The recruiter starts the morning with vetted candidates instead of a stack of unread profiles.

I mention it here because it's meant to pass the test I started with. The results are written straight into the ATS, so there's no extra dashboard or integration channel to watch. A task leaves the recruiter's day and nothing new arrives to replace it. We've written more about the difference between AI that assists and AI that actually moves the pipeline forward in our piece on agentic recruiting.

So if your team feels busier since adopting AI, I wouldn't respond with another tool, or another recruiter. I'd look for the one task that takes the most time, holds up everything after it, and needs a person only for logistical reasons. For most recruiting teams, that's the first screening call.

Ready to transform your hiring strategy? Schedule a Demo with our founders today!