AI for recruitment agencies: where it saves you hours

Ask a recruiter where the day went and you tend to hear the same answers.

Screening CVs. Every vacancy brings in a pile and someone has to read them one by one. It is hours of work nobody sees, and on a busy day it is the first thing left undone.

Searching. New brief? Someone starts trawling LinkedIn again, while the candidate you need has often been sitting unused in your own ATS for years. It is just that nobody looks there anymore.

And the admin around a submittal. You write up the profile, build a Boolean, type out your notes and put it all into the system. None of that is recruitment. Together they eat half the day.

This is where AI pays off fastest, because it is repetitive work with a clear yardstick. At Forta Solutions we trained a CV checker on the criteria Linda had built up over 22 years. Assessing one CV used to take her half an hour. Now nothing. It saves her around 8 hours a week, and those go into conversations instead of the pile.

Notice what the checker does not do: decide. It reads the CV, holds it against your criteria and tells you why someone fits or does not. You look at the borderline cases and make the call. That keeps you fast without handing over your judgement.

Before you spend a cent on new ads, the answer is often already in the building. Every agency builds up candidates for years and then loses them inside the ATS. For a new vacancy a system sweeps your own database first and lifts the strong matches to the top, including the one you turned down by a hair two years back. Only when there is nothing there do you go outside. Less searching, and you are calling someone who already knows your name.

A good submittal takes time. Holding the CV against the vacancy, writing the pitch, explaining to your client why this person is right. A system can set up that draft for you: it picks the candidates who fit, writes a first rationale and puts the submittal in your own format. You read it over, adjust the tone and send it out.

Speed often decides who wins the brief. The agency that shows a strong candidate first is in front. That is where submitting candidates with AI screening makes the difference: less time between the request and the first name on the table.

This is where most AI stories fall apart. A tool that sits next to your ATS means double work, and nobody keeps double work up for long. We build inside the system you already use, whether that is Bullhorn, Carerix or OTYS. Your recruiters log in where they always log in. There is no extra screen for them to learn.

Is your ATS full of half-filled profiles? Not a blocker. The system works with the data as it is, half-filled fields and all.

AI is good at prep and sorting. In the conversation it is useless. The choice to submit someone, the first meeting and the way you handle a difficult client: that stays yours. A system that pre-sorts outreach or reads through CVs takes away the typing, not the craft.

That is also the honest limit of what we build. If you want to see how this fits into our AI systems for recruitment and staffing agencies, or into the bigger picture of automating recruitment, read on there.

You start with your biggest bottleneck, not with everything at once. If screening eats the most time, you put a checker on that. If submittals are the jam, you begin there. We run a two-week pilot on one process first, for a fixed price agreed up front. If it works, we build it out. If it does not, you know within two weeks and you are tied to nothing.