The right candidate may already be waiting right there in your database — you just don't know it yet. Instead of searching manually, carefully tagging, and relying on labels that need constant upkeep, all you have to do now is open a position and leave the rest to artificial intelligence. Internal sourcing automatically goes through your talent pool and finds the candidates who best fit the given position. No filters to tune by hand, no forgotten profiles — just fast, smart recommendations built on the real history of your recruitment. You save time, put to use candidates you've already invested in, and nothing slips through the cracks.
⚠️ An important note for your peace of mind from the perspective of AI legislation — the feature does not profile candidates in any way, nor does it process their personal data. AI here serves solely to speed up the mathematical calculation of suitability. It does not assess the person; it only calculates the match between positions and progress in previous selection procedures. Thanks to this, it does not fall into the category of high‑risk AI systems under the AI Act.
Recruitis takes four inputs from the current position:
It then compares this data with all historical positions in your database and, for each one, calculates a match coefficient — that is, how closely a given past position resembles the one you are currently hiring for.
For individual candidates, the system then evaluates how far they got in a previous selection procedure, how they were rated, and also the weight of the rejection reason, and from this it calculates the candidate's overall relevance.
There are no additional hard rules such as "they must reach at least a certain round." The system naturally prioritizes those who advanced furthest in the process. In practice, this means a recently rejected candidate generally won't make it into the recommendations — unless they were, for example, the only candidate for the only similar position in the entire history.
A new "Internal sourcing" tab appears for each position. Once you open it, the system immediately suggests suitable candidates from your database.
Working with the results is simple:
On the left‑hand side, you'll also find settings that let you fine‑tune the recommendations exactly according to what matters most to you for the given position. Using sliders (on a scale of 0–10), you set the weight of the individual evaluation parameters:
Once the weights are set according to your priorities, you confirm them with the "Apply" button and the system immediately recalculates the selection.
In addition to measuring SLA directly on the ATS Recruitis homepage, you can have a report generated via email.
When rejecting a candidate, you can record the reason for rejection, which is automatically reflected in your statistics and reports, and also serves as a tool for searching candidates in the database. This allows the reasons to be best tailored to your needs.
A plugin enabling saving candidates from LinkedIn and several other portals.