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Kuvai

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. Set Casey up to shortlist and every call on who advances is yours.

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app.kuvai.com

Applications triaged — Senior Account Manager

180 applications · screened against the role

  • 180 applications screenedevery applicant reviewed against the role
  • 12 strong fits shortlistedranked, each with a scorecard
  • 9 borderline — your callflagged with the reasons, not rejected
  • Pipeline-by-role view draftedwhere 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.

Waiting for your review

Illustrative example

Quick answer

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 — 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. Set up to shortlist, Casey leaves advancing and rejecting to you — every hiring decision is yours.

Casey triages, screens, and ranks. You decide how far it goes: ask for a shortlist and you get a shortlist. Work it starts on its own never makes destructive or out-of-lane changes without checking with you first, it only sees the candidate data you give it, and every reply shows the steps it took.

How Casey gets more useful over time

Casey isn't a tool you reconfigure each time. The longer it works with you, the less you have to repeat yourself — here's why.

A memory of your business

Casey keeps a private notebook of your role requirements, screening criteria, and scorecards. It doesn't reset between sessions, so you stop re-explaining the basics.

Improves from your corrections

A daily reflection proposes up to three refinements to Casey's own instructions, which you approve — so it gets better at screening instead of repeating the same miss. Casey never "gets smarter" on its own.

Runs at the autonomy you set

You decide how independently Casey works on its own. Work it starts itself — scheduled runs and follow-ups — never makes destructive or out-of-lane changes without checking with you first, and every decision is logged.

Where does an AI recruiter fit?

Casey owns the same job — triage, screen, rank — across different hiring situations:

Founder-led Hiring

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.

Agencies & Services

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.

Operations

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 — only the tools you connect and assign to it.

Sourcing & profiles

Apollo.io

Applications & résumés

Uploaded résumésGreenhouseGmailGoogle Drive

Pipeline tracking

Google SheetsAirtableNotion

Team comms

SlackGoogle Calendar

You connect each tool by signing in through its own OAuth screen, and Casey only works in the tools you've connected and assigned to it. Set it up to screen and rank, and advancing, rejecting or contacting a candidate stays with you.

Will an AI recruiter reject candidates on its own?

Hiring decisions affect people's lives, so Casey is built to screen and leave the decisions to you. As with every Kuvai teammate, you decide how far it goes.

Rejections stay your call

Set up to shortlist, Casey ranks and shortlists, and advancing or rejecting a candidate is 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 reply shows the steps it took.

Candidate data stays in your hands

Casey only sees the applicant information you give it, and uses it to screen within the access you grant. You can pause or retire Casey at any time.

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.Explore the Kuvai platform

Frequently asked questions

Can AI screen job applications and résumés?

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.

Will it reject candidates automatically?

Not when you set it up to shortlist. Casey ranks and shortlists, and advancing or rejecting a candidate stays your decision. Borderline candidates are flagged for your call rather than screened out. Work Casey starts on its own never makes destructive or out-of-lane changes without checking with you first, and every reply shows the steps it took.

How does it keep screening consistent and transparent?

Casey screens every candidate against the same role requirements and explains each score in a scorecard — what matched and what didn't — so the ranking is consistent and reviewable rather than a black box. You see the reasoning and make the call, which keeps a human accountable for the hire.

Can it handle a high volume of applications?

Yes — handling volume is exactly the point. Casey triages every application the day it arrives, so a role that draws hundreds of applicants gets fast, consistent screening and the strong candidates surface before they take another offer. None sit unread in a queue.

Is candidate data kept private?

Casey only works with the applications you give it and the tools you connect and assign to it, and uses applicant information only to screen within that access. You sign in to each tool through its own OAuth screen — Kuvai never sees your password — every reply shows the steps Casey took and the sources it used, and you can pause or retire it at any time.

How much setup does an AI recruiter need?

Give Casey the role requirements and what a strong candidate looks like, and it can start triaging applications. You can begin with one open role and grow from there — and like every Kuvai teammate, it accumulates your context, so its shortlists fit your roles better for your roles over time.

Does Casey remember my business and get better over time?

Yes — and that's the point. Casey keeps a private memory of your role requirements, screening criteria, and scorecards, so you stop re-explaining the basics. A daily reflection proposes up to three refinements to its own instructions, which you approve — so it gets better at screening instead of repeating the same miss. Casey never "gets smarter" on its own, and the autonomy level you set governs the work it starts by itself. The longer Casey works with you, the less you have to repeat yourself.

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 who doesn't.