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Speeding Up the Wrong Step

AI screening has cut the time recruiters spend on early-stage work, but time-to-hire often barely moves because the delay has shifted to hiring manager turnaround. How to see where the days go and what to do about it.

Recruitment Strategy4 min read
Speeding Up the Wrong Step

If you widen one stretch of a highway, the drive doesn't necessarily get shorter. Cars get through the wide part faster and then sit at the next narrow part. Anyone who has run a factory knows a version of this. A process moves at the speed of its slowest step, and once you speed up that step, the slowest one is somewhere else.

I suspect a lot of recruiting teams are running into this without noticing.

For years the slowest step in most hiring pipelines was the recruiter. A common estimate is that one recruiter can do 8 to 12 substantive screening calls a day. Now picture a high-volume role that draws a few hundred applications in its first three days. The recruiter was behind from the moment the job went live, and the lag between applying and making a shortlist was simply part of how hiring worked.

AI screening changes that step. If applications that come in overnight get screened overnight, the recruiter starts Monday with a short list of vetted candidates and notes instead of a pile of CVs. So you'd expect time-to-hire to drop. Often it barely does. One 2025 analysis of recruiting workflows found that teams adopting AI screening cut recruiter-side processing time by 35 to 40%, while total time-to-offer hardly changed. The time recruiters saved was absorbed by the hiring manager stage.

Where the days go now

Follow one shortlist through that stage. It goes out on Monday. The hiring manager replies on Thursday. Interview slots go out Friday, two of them clash with meetings already on the calendar, and one gets moved the morning of. Feedback after the interviews takes four or five days because the manager is traveling or hasn't written up notes. Three weeks in, having seen a few candidates, they revise the requirements. Nothing here is unusual, and none of it gets faster because the recruiter got faster.

Recruiters feel this more than anyone. The polite name for it is "feedback turnaround." Put less politely, it's hiring managers treating the search as something to get to when they have time.

Why the tools look like they failed

This has an awkward consequence. A team buys AI screening, watches time-to-hire, sees it barely change, and decides the tool didn't work. But the part the tool touched did get faster. The team just measured it with a number that adds every stage together, so the saving vanished into the stage that didn't change.

The measurement problem is easy to fix. Split time-to-hire into the stages the recruiter owns and the stages the hiring manager owns, and look at each one separately. Most teams skip this, which means they end up managing a single number rather than the stage that is actually slow. If you're rethinking which numbers to watch at all, there's a longer post on how recruitment KPIs were built for a pre-AI world and which ones give teams false confidence.

The stage itself is harder to fix, because what it needs is accountability. The teams I'd expect to move fastest treat hiring manager turnaround as a commitment with a date on it. A shortlist sent on Monday means first-round interviews are confirmed by Wednesday, and feedback is written up within 24 hours of each interview. That's a process change, and no software will make it for you.

What software can do is make the hiring manager's part of the job smaller, and that's the piece of this we spend most of our time on at Asendia. We make software that phones applicants and interviews them, so a shortlist arrives with notes on each conversation. The hiring manager reads those summaries instead of thirty resumes. Each one covers what the candidate said about their current role, how they handled the questions specific to this job, when they're available, and what pay they expect. You can review that between two calls. A stack of raw resumes is something people save for a clear hour, and clear hours are exactly what hiring managers don't have.

That helps, but it doesn't replace the commitment. If your pipeline is still slow after you automated screening, I wouldn't buy more automation. I'd count how many days each shortlist spends waiting for a reply, and I'd make that number somebody's job.

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Badis Zormati

Co-Founder, Asendia AI

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