High ComplexityInternal OperationsCross-industry4 weeks delivery

AI Hiring Pipeline

Finds candidates, screens them with AI, books interviews, and learns from every hire and rejection. The whole loop runs itself.

0

Emails to Book

AI

Screening

Self

Improving

Full

Loop Automated

Production
2,841 runsLast: 20 min ago
New role opened
Lemlist

Lemlist

Candidate Sourcing

Status
Running
TypeTrigger
Executions2,841
node-1
Matched profiles
Clay

Clay

AI Screening

Status
Running
TypeAction
Executions2,698
node-2
Score + reasoning
Fireflies

Fireflies

Auto Scheduling

Status
Running
TypeAction
Executions2,556
node-3
Calendar invite
Google Calendar

Google Calendar

Interview Intel

Status
Running
TypeAction
Executions2,414
node-4
All systems operational
4 nodes3 connections

The Problem

The Challenge

The team was burning 25+ hours per hire on admin work. Sourcing, screening resumes, going back and forth on scheduling, collecting feedback in random docs.

How We Fixed It

Our Solution

1

Set up Clay to find and enrich candidate profiles matching role criteria.

2

Connected Lemlist to run personalized outreach sequences to candidates.

3

Added AI screening with Claude that scores candidates against the role's specific requirements.

4

Automated interview scheduling through Google Calendar with timezone detection and availability sync.

5

Plugged in Fireflies to record interviews and write AI summaries with the key evaluation points.

6

Built a feedback loop so hiring outcomes feed back into scoring. The system gets better with each hire.

Tools & Infrastructure

Tech Stack

L

Lemlist

Runs personalized outreach sequences to candidates.

C

Clay

Finds profiles matching role criteria and enriches them with relevant data.

F

Fireflies

Records interviews and writes AI summaries with evaluation notes.

G

Google Calendar

Books interviews automatically, handles timezones and availability.

Impact & Outcomes

The Results

0

Emails to Book

Interviews get booked without anyone sending a scheduling email.

AI

Screening

Each candidate gets scored against the role criteria, with reasoning attached.

Self

Improving

Every hire and rejection makes the screening more accurate.

Full

Loop Automated

Source, screen, schedule, interview, feedback. The whole loop runs hands-off.

Want results like these?

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