AI screening for recruitment agencies

Screen every candidate. Call only the matches.

Per-position AI agents handle the screening conversation. Candidates chat on their schedule. You review structured data and spend your time where it matters — on real matches.

5x
screening capacity
0 min
spent on non-matches
100%
data captured

Screening doesn't scale.

15 hrs

Of screening before a match

Your recruiters handle 20 calls a week. Only a handful advance. That's the nature of screening — high volume, low conversion.

2x

Coordination time per conversation

Scheduling, timezone alignment, reschedules, no-shows. The logistics often take longer than the call itself.

Low

Engagement from senior talent

The best candidates are selective with their time. High-friction screening processes filter them out before they even start.

50%

Of insights never reach the CRM

Call notes are rushed and inconsistent. Structured data from screening conversations rarely makes it through intact.

Every new position adds screening load. More openings, more calls, more coordination — and the only lever today is headcount. That's the bottleneck.

Automate the conversation. Keep the judgment.

One AI agent per position. Candidates get a link instead of a calendar invite. Both sides exchange real information in a 10-15 minute conversation — and your team only steps in for the matches.

Senior React Developer — Screening Chat
Hi! I'm the AI screening agent for the Senior React Developer position at a Series B fintech startup. Ask me anything about the role, or I can start with a few questions about your background.
What's the comp range? And is this fully remote?
Comp range is $160-200k base + equity. Fully remote within US timezones, with optional quarterly on-sites in NYC. Would you like to know more about the tech stack or team structure?
That works. What's the stack?
React 19, TypeScript, Next.js, Tailwind. Backend is Node + PostgreSQL. Team is 6 engineers, shipping weekly. Now — could you tell me about your experience with large-scale React applications?
01

Configure

Feed in the job brief, screening criteria, and disclosure rules. What to share, what to hold back.

02

Send a link

Replace 'let's schedule a call' with a chat link. Include it in outreach, job postings, anywhere.

03

Bot screens

A real AI-powered conversation — not a form. The candidate asks questions too. Both sides share info, both sides filter.

04

Data flows

Skills, salary expectations, availability, red flags, fit score, full transcript. No manual notes.

05

You call matches

Review ranked candidates. Pick up the phone when there's a real match — and start the call already informed.

What changes for you

20 screening calls per week
20 transcripts reviewed in 1 hour
30-60 minutes per candidate
Zero minutes per non-match
Manual notes, inconsistent data
Structured extraction, every conversation
Calendar coordination overhead
Link-based, async, candidate self-serves
Senior candidates don't engage
Lower friction, higher response rates
More positions = more headcount
One agent per position, no recruiter time until match

The objection you're thinking

“Candidates won't talk to a bot.”

Senior candidates are selective with their time, not opposed to the process. A 10-minute async chat removes the friction and lets them engage on their terms. Here's why it works:

They ask questions first

Comp range? Tech stack? Remote policy? Candidates evaluate roles too. With Prescreen, they get answers upfront — before committing to a call.

10 minutes, not 60

On their schedule. No calendar coordination, no timezone alignment. Chat at 2am if they want. The friction that holds back senior talent disappears.

Instant closure

No ghosting. No week of silence. They know immediately whether there's a potential match. That alone builds goodwill with your candidate pool.

Transparently AI

No pretending to be human. Faster, available 24/7, and focused on finding a genuine match — not filling a quota.

What this doesn't replace

AI prescreening automates the screening conversation — the highest-volume part of your recruitment workflow. Everything else is still you:

  • Your judgment on who to advance
  • Relationship-building in later stages
  • Domain expertise in matching candidates to roles
  • The final negotiation and close

AI handles the information exchange. Your team makes the decisions.

Where this goes

Building now

Per-position AI screening agents

Each position gets a dedicated AI screening agent. Candidates chat, you review structured results. Your team focuses on evaluating matches, not conducting calls.

Coming next

Personal candidate agents

Candidates get persistent AI representatives that know their skills, preferences, and deal-breakers. Their agent talks to your position agent. They only hear about real matches.

The endgame

Agent-to-agent screening

Position agents publish roles. Candidate agents discover and engage autonomously. Mutual matches escalate to humans. Screening becomes a protocol.

Give your team the capacity to screen every candidate.

We're building this with a small group of recruitment agencies. If you want to scale screening without scaling headcount, we'd like to include you.

No commitment. No spam. Just early access and a conversation about your workflow.

Or message directly: @serejke on Telegram