AI Resume Screen + Talent Rank
Every application is read in full and scored by AI against the job description, stack-ranked per role family, then rated by a human recruiter. Two independent gates, and no resume goes unread.
Screening breaks at volume
Resume screening is the highest-leverage, lowest-consistency step in hiring:
From application to shortlist
How each step works
Open roles are published on the careers page. A candidate applies with their resume, and the application lands directly in the talent system attached to that job requisition. No inbox, no forwarding.
Claude reads the full resume against the job description and writes a structured assessment: a score, the reasoning behind it, and the strengths and gaps it found. Every application gets the same depth of read, whether it arrived first or five hundredth.
Scored candidates are stack-ranked within their role family, not just within the single job they applied to. A strong engineer who applied to the wrong opening still surfaces near the top of the engineering family.
A recruiter reviews the ranked list and records their own rating alongside the AI score. The two ratings sit side by side, and the list can be sorted by either one. Neither gate can silently override the other.
Candidates strong on both the AI screen and the recruiter rating make the shortlist. Disagreements between the two are the interesting cases, and they get a second human look instead of a quiet rejection.
From the shortlist onward the process is entirely human: interviews, references, and the hiring decision. AI gets every resume read; people decide who joins the team.
The seven elements
Every workflow we document has the same anatomy: seven elements, each assigned to a human, a machine, or both. This is the Centaur Map from our workflow design method.
An application submitted on the careers page lands in the talent system attached to its job req.
The full resume and the job description. Every candidate is read against the same spec.
Two independent ratings: the AI score with written reasoning, and the recruiter’s human rating beside it.
Candidates rank within their role family; where the two gates agree, they route to the shortlist.
A structured assessment per candidate: score, reasoning, strengths, and gaps.
A ranked, sortable list in the admin, ready the moment a recruiter opens the req.
Pipeline conversion and where the AI and recruiter gates disagree, the signal that tunes both.
The standing rules
- Every resume is read in full, no exceptions at volume
- AI scores and humans rate, independently
- Ranking happens per role family, not per job posting
- No candidate is rejected by AI alone
Why it works
- Consistent scoring replaces screener-of-the-day variance
- Recruiter time shifts from skimming piles to judging the top of a ranked list
- Cross-role ranking rescues good people from the wrong posting
- Every score comes with written reasoning, so decisions are auditable