Curbar AI
Recruitment

Candidate triage for specialist recruiters

Review candidate-role fit, separate strong options from maybes and rejects, and keep the reasons visible.

A triage surface that separates clear shortlist candidates from maybes and quick rejects, while keeping the reasoning visible.
Candidate-level review with scoring factors, role themes, and visible rationale so the recruiter can challenge or confirm the call.

Candidate triage is about making recruiter judgement faster, more consistent, and easier to explain.

For specialist recruiters, the bottleneck is rarely a lack of candidates. It is the volume of candidate-role decisions that have to be made quickly, repeatedly, and with incomplete information.

This workflow is designed to help with that decision load:

  • compare candidates against the practical requirements of a role
  • surface obvious blockers early, such as commute realism or missing must-haves
  • separate stronger candidates from amber cases and quick rejects
  • show the reasoning behind the call instead of hiding it in a score
  • keep human review in the loop where evidence is incomplete or judgement matters

Why it is useful

  • less manual re-reading of CVs just to answer the same shortlist questions
  • clearer separation between who looks strong, who needs checking, and who is unlikely to fit
  • more visible and defensible decision logic for the recruiter using it
  • a workflow that can start with one brief and extend into broader candidate-role matching over time

Approach

The approach is simple:

  • combine explicit constraints with structured extraction and model judgement
  • keep the output legible enough for a recruiter to interrogate
  • treat the system as decision support, not automated hiring
  • make it easier to move from a raw pile of CVs to a usable shortlist

This is a practical workflow pattern for recruitment teams that need faster triage without losing control of the reasoning.