Casey — AI Recruiter
Meet Casey, the AI recruiter who triages the applications so you interview the right people.
A good role can draw hundreds of applications, and screening them is the work that buries hiring managers and delays good candidates. Casey triages every application, screens each against the role's actual requirements, and drafts a ranked shortlist with scorecards — so you spend your time interviewing, not reading résumés. Casey never rejects anyone on its own; every call is yours.
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Applications triaged — Senior Account Manager
180 applications · screened against the role
180 applications screened
every applicant reviewed against the role
12 strong fits shortlisted
ranked, each with a scorecard
9 borderline — your call
flagged with the reasons, not rejected
Pipeline-by-role view drafted
where every open role stands
A ranked shortlist with scorecards is ready — you interview the strong fits instead of reading 180 résumés, and every decision stays yours.
What does an AI recruiter actually do?
An AI recruiter is an AI teammate that handles the top of the hiring funnel — triaging applications, screening candidates against the role's requirements, and producing a ranked shortlist with scorecards — so hiring managers spend their time interviewing strong candidates instead of reading every résumé, with every decision staying human.
Casey is Kuvai's recruiter teammate. It doesn't make hiring decisions or reject candidates — it removes the volume problem that makes good hiring slow. Grounded in the role's requirements and what 'good' looks like for you, it reviews each application, screens it against the criteria, and drafts a ranked shortlist with a scorecard explaining the fit, plus a pipeline view by role. Because it screens against your actual requirements, the shortlist reflects what the job needs — not keyword matching. You decide who advances and who doesn't; Casey makes sure the good candidates surface fast and none get lost in the pile.
What problem does an AI recruiter solve?
Hiring is slow not because deciding is hard, but because getting to the candidates worth deciding on means wading through volume. Screening is repetitive, time-pressured, and the first thing that delays a good hire. That's the job Casey owns.
Good candidates get lost in the volume
When a role draws hundreds of applications, the strong ones sit in a queue nobody has time to clear, and they take another offer while you're still reading. Casey triages every application fast and surfaces the strong fits, so good candidates don't get buried.
Screening is repetitive and inconsistent
Reading résumés against the same criteria, over and over, is tiring work where standards drift by the fiftieth one. Casey screens every candidate against the same role requirements consistently and explains each score, so the bar stays even.
Hiring managers are buried instead of interviewing
The person who should be interviewing is instead reading a stack of applications. Casey does the first pass so the hiring manager's time goes to the conversations that actually decide the hire.
No clear view of the pipeline by role
Across several open roles, it's hard to see where each stands and who's where. Casey drafts a pipeline-by-role view, so you know at a glance which roles need attention.
How does an AI recruiter work — and could it reject a candidate on its own?
Casey screens and ranks; you decide who advances. Here is the full loop.
Define the role and 'good'
Give Casey the role requirements and what a strong candidate looks like for you. It screens against your criteria, not generic keyword matching.
It triages every application
As applications arrive, Casey reviews each one against the role — fast, and for every applicant, so none sit unread in a queue.
It screens and scores
Casey screens each candidate against the requirements and drafts a scorecard explaining the fit — what matches, what's missing — so the ranking is transparent, not a black box.
It drafts the shortlist and pipeline
It assembles a ranked shortlist with the scorecards and a pipeline-by-role view, queued for your review.
You decide who advances
Review the shortlist, advance who you want, and run the interviews. Casey never advances or rejects anyone on its own — every hiring decision is yours.
Casey triages, screens, and ranks; it never rejects or advances a candidate autonomously. Rejecting candidates is a never-autonomous action, candidate data is kept confidential, and every action is logged with its reason.
Where does an AI recruiter fit?
Casey owns the same job — triage, screen, rank — across different hiring situations:
Hiring without a recruiter
A founder hiring their first roles is drowning in applications with no recruiter to screen. Casey triages and shortlists against the role, so the founder spends their scarce time interviewing the strongest fits rather than reading every CV.
A founder interviews the best, instead of reading the pile.
Frequent hiring across roles
A growing services firm hires steadily across several roles at once. Casey keeps a pipeline-by-role view and screens each applicant consistently, so hiring managers always know where each role stands and which candidates to talk to.
A clear, consistent pipeline across every open role.
High-volume roles, fast
A role that draws hundreds of applicants needs fast, fair screening or good candidates walk. Casey triages every application against the same criteria the day it arrives, so strong candidates are reached before they're gone.
Strong candidates surfaced same-day, screened to a consistent bar.
What does an AI recruiter connect to?
Casey works from the applications and tools your hiring already uses, through Kuvai's Connected Systems — always with your explicit approval and with candidate data kept confidential.
Sourcing & profiles
Applications & résumés
Pipeline tracking
Team comms
Connecting any tool requires explicit OAuth approval, and Casey only acts within the scopes you grant. It screens and ranks candidates and keeps candidate data confidential — it never rejects, advances, or contacts a candidate on its own.
Will an AI recruiter reject candidates on its own?
Hiring decisions affect people's lives, so Casey screens but never decides. The model is the same as every Kuvai teammate: it drafts, you decide.
No autonomous rejections
Casey ranks and shortlists, but advancing or rejecting a candidate is always your decision. Borderline candidates are flagged for your call, not quietly screened out.
Every score shows its reasoning
Each candidate's scorecard explains the fit against the role — what matched, what didn't — so the ranking is transparent and reviewable, not a black box. Every action is logged.
Candidate data stays confidential
Applicant information is scoped to you and treated as confidential — used to screen, not to train anything, and only within the access you grant.
How is this different from an ATS or doing it yourself?
An applicant tracking system stores and organises applications but won't read and screen them for you — it's a filing cabinet, not a recruiter. Doing it yourself means reading every résumé against the criteria, which is exactly the volume work that delays good hires and drifts in consistency.
Casey does the screening: it triages every application, scores each against your requirements with a transparent scorecard, and drafts the shortlist and pipeline. It accumulates your context — what 'good' means for your roles — so the shortlists sharpen, and it works alongside the rest of your Kuvai AI team while every hiring decision, and every rejection, stays human.
Frequently asked questions
Yes — that's Casey's core job. Kuvai's recruiter teammate triages every application and screens each against the role's actual requirements, then drafts a ranked shortlist with scorecards explaining the fit. You interview the strong candidates instead of reading every résumé, and every decision stays yours.
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Interview the right people — skip the résumé pile.
Start free and put Casey on your hiring funnel — it triages, screens, and shortlists; you decide who advances, and no one is rejected without you.