AI that screens for fit, not just keywords.
RecruiterDesk reads a job description, drafts a weighted fitment checklist, and scores every candidate against it with the reasons shown. It ranks the people you already know and reads new resumes into clean records. You confirm the bar and make the call, and nothing about a candidate is decided silently.
Four jobs it takes off your desk.
Reads the JD, drafts the checklist
Paste a job description and the AI drafts a weighted fitment checklist: must-haves, nice-to-haves, hard knockouts and the screening questions worth asking. It also drafts the questions to agree with the client on the intake call, so you fix the brief before you source, not after submissions bounce.
Scores every candidate, with reasons
Each candidate is scored against that same checklist, and the score comes with its reasoning: which must-haves are met, what is missing, and any knockout flag. It is a reading you can defend, not a number from a black box.
Ranks your talent pool for each mandate
For a new mandate, the AI ranks people already in your talent database against its fitment checklist, with fit score, must-haves met, knockout flags and a note where consent is not documented, so you shortlist who you know first.
Reads resumes on bulk import
Drop a batch of resumes as PDF, DOC, DOCX or a ZIP and each is read into a structured candidate record, with duplicates matched on email and phone, so a messy folder of CVs becomes a searchable database.
The fitment checklist, scored and explained.
The AI turns the JD into weighted must-haves, nice-to-haves and hard knockouts, then scores each candidate against that bar. The score is never a bare percentage: it shows which criteria are met, what is missing, and any knockout that applies, so a client sees judgement, not a forwarded CV.
- Weighted, explainable scoring, not a gut call
- Knockouts stop a wrong submission early
- The reasoning travels with the submission
The best candidate is often already in your database.
Once a mandate has a fitment checklist, the AI ranks the people already in your talent database against it, with fit score, must-haves met, knockout flags and a note where consent is not documented. You shortlist from your own network first, instead of sourcing from scratch every time.
- Talent-pool matches ranked against the mandate
- A consent flag where data is not documented
- Computed on demand, from your live database
AI does the reading. You make the call.
You confirm the bar
The AI drafts the checklist and its weights; you edit and approve them. The criteria that decide a hire are yours, not a setting you cannot see.
Nothing is decided silently
A candidate is never auto-rejected or ranked out of sight. The score and its reasons are on the record, so you see why before you act.
The call stays yours
The AI reads, drafts and scores to save you the busywork. Whether a candidate goes forward is always a person's decision, with the reasoning attached to the submission.
AI in RecruiterDesk, answered plainly.
Does RecruiterDesk use AI to screen candidates?
Yes. The AI reads a job description, drafts a weighted fitment checklist of must-haves, nice-to-haves and knockouts, and scores every candidate against it with the reasons shown. It also ranks people already in your talent database against a new mandate and reads resumes into structured records on bulk import. It is screening support, so your shortlist is built against a consistent bar instead of by feel.
Does the AI reject or hire candidates automatically?
No. Nothing about a candidate is decided silently. The AI scores and flags, and a person always decides whether a candidate moves forward. There is no auto-reject and no automated hiring, and the reasoning behind every score stays on the record so the decision is yours to make and to defend.
Can it help me prepare for the client intake call?
Yes. From the job description, the AI drafts a short list of intake questions to agree with the client before you source, tailored to the role, so you pin down what they actually want on the call instead of discovering the gaps after submissions bounce. You edit the list in plain lines, and the answers feed straight into the fitment checklist as the agreed criteria. The questions are yours and client-facing; they are never shown to the candidate or scored.
Is the AI scoring explainable?
Yes, and that is the point. Each score shows which must-haves are met, what is missing, and any knockout that applies, against the weighted checklist you approved. You can see and change the weights, so the score is a transparent reading of your own criteria, not an opaque match percentage.
Does it replace the recruiter's judgement?
No. It removes the busywork around judgement, not the judgement. The AI does the first read, the drafting and the scoring so you spend your time on the calls and the decisions that need a human. The recruiter still sets the bar, reads the shortlist, and makes the call on who to submit.
Which AI features are included, and at what price?
Every AI capability (the fitment checklist, candidate scoring, talent-pool ranking and resume reading on import) is included in every plan, with nothing held back for a higher tier. It is one flat, published price with a 14-day free trial and no card, shown in your currency on the pricing page.
- 14-day free trial The whole product, no credit card and no setup call.
- One flat price Every feature included, no per-feature upsells or tiers.
- Your data is yours Export it or delete it whenever you want.
See the AI build your first checklist.
Paste a JD and watch the fitment checklist draft itself, then score a candidate against it. Free for 14 days, no card.