AI sourcing agent: how it works, and what it changes for a recruiter

Sourcing, the task everyone would like to hand off

Ask any recruiter what takes up most of their time and the answer is almost always sourcing. Turning a need into searches, exploring several sources, opening dozens of profiles, comparing, scoring, finding contact details, then writing the first messages. It is demanding, repetitive work, and yet decisive: good sourcing saves weeks on a hire.

That is exactly the work an AI sourcing agent takes on. Not just a faster search engine, but an assistant that chains the steps itself, from the brief to the first outreach, and hands you reasoned results.

What an AI sourcing agent is (and is not)

A classic search tool answers a query: you type keywords, it shows results, and everything else is up to you.

An agent pursues a goal. You give it a need (“a Senior Account Executive in B2B SaaS, five years’ experience, in London or remote”) and it decides the steps to get there: which sources to explore, which criteria to check, how to rank profiles, which contact details to look for.

That does not make it a black box that hires for you. A good agent:

• explains each of its choices, profile by profile;
• leaves you in control of the criteria and of what is sent in your name;
• stops as soon as a candidate replies, and hands over to you.

Step by step: from job description to interview

1. Understanding the need

It all starts with a job description, or a single sentence. The agent extracts the criteria: job title, skills, industry, years of experience, location, way of working. These criteria become the lens for everything that follows.

It is also the moment to correct course: if a criterion is misread, you adjust it before the agent starts searching. We wrote a whole article on this step: how to write a sourcing prompt that brings back the right profiles.

2. Searching everywhere, not just one database

Where a recruiter opens one source after another, the agent explores them all with the same criteria: public professional profiles on the web, your own talent pool, and your ATS if it is connected. Relevant profiles join the project, without duplicates.

3. Ranking and explaining

This is the most visible difference with a classic search. Every profile gets a score and, above all, a reason: “exact title, seven years of SaaS sales, based in London”. The criteria met appear one by one, and so do the missing ones.

You no longer read fifty profiles to keep five: you check the reasons given for the best ones, and you decide.

4. Finding contact details

A great profile you cannot reach is useless. The agent retrieves work contact details (email, phone) for the profiles you keep, without you switching tools.

5. Reaching out on several channels

The agent prepares a personalised approach based on the role and the candidate’s background, then runs it across channels: LinkedIn, email, WhatsApp. As soon as a candidate replies, the sequence stops on its own and the conversation comes back to you.

6. Handing back to you

At the end, you do not get a raw list: you get interested candidates, ranked, with their reasons. Your time goes to interviews.

What the recruiter keeps

Handing off sourcing does not mean automating everything. Three things stay in your hands:

1. The criteria. You define what a good candidate looks like for this role, and the agent applies your grid.
2. Approval. You choose what the agent sends on its own and what waits for your approval. Many recruiters start by approving everything, then automate follow-ups once they trust the messages.
3. The relationship. Interviews, advice, negotiation and closing remain human work. That is precisely where the time saved makes a difference.

An agent that also works at night

An agent has no working hours. While you are with clients or asleep, it can keep searching, ranking and preparing approaches on all your open roles. In the morning, you find a summary of what was done and a queue of approaches to approve.

That is the principle of autonomous agents: they repeat the work in the background, across several roles at once, and you keep the last word on what goes out in your name.

What about GDPR?

The question comes up every time, and it is a fair one. Sourcing professional profiles can rely on legitimate interest, provided it is documented, proportionate and transparent: candidates are informed when contacted, can object, and retention periods are controlled. We covered this framework in detail, in French, in Sourcing, IA et RGPD : ce que la loi autorise vraiment.

How to get started

The simplest way is to test the agent on a real role whose market you know well:

• take a recent job description;
• compare the agent’s shortlist with the one you would have built;
• look at the reasons: are they the ones you would have given?

If the answer is mostly yes, you have just won back several hours per role.

With Profilr, the AI sourcing agent is available from the Pro plan, limited to the top 25 profiles, and unlimited autonomous agents are part of the Agentic CRM plan. The best way to judge is to see it work on your own roles: book a demo.