Building a Fully Automated AI Recruitment Pipeline With Make
Today I am working on a full scale recruitment automation for a specialist food and beverage plus entertainment recruitment agency
This is not a basic setup
Everything is already designed documented and specced out
My job here is pure execution building exactly to specification
The system is made up of eight connected Make workflows that handle everything from CV parsing to candidate ranking invoicing outreach syncing and commission calculation
Gmail Drive Airtable Sheets Claude AI PDF extraction and outreach tools all talk to each other without manual work
CVs dropped into Gmail are parsed and classified by AI and written into Airtable and Google Sheets at the same time
Role context is built automatically from job descriptions transcripts and decks
LinkedIn PDFs are ranked by AI against full role context and shortlists are generated and emailed
Invoices are generated and sent when placements are confirmed
Calls transcripts update records
Outreach CSVs sync stages
Commissions are calculated and recruiters are notified
The Airtable setup is just as deep with linked tables recruiter views manager views and automated calculations that run quietly in the background
What makes this project interesting is the level of reliability required
Every workflow has error handling
Failures trigger owner alerts
Everything is tested end to end with real data before handover
This is a great example of how Make can be used to replace an entire recruitment operations team with clean well designed automation that actually scales
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Kenechukwu Johnplanus
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Building a Fully Automated AI Recruitment Pipeline With Make
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