Real results come from applying the right process to the right problem. This case study documents exactly how that played out.

The Challenge

A mid-size recruitment firm was processing over 1,200 applications per month across 30 active roles. Recruiters spent the majority of their time on screening, scheduling, and status updates rather than on candidate relationships and client management. The firm had plateaued at 40 placements per month despite strong demand from clients.

The Approach

The firm implemented an end-to-end automation stack: AI resume parsing for initial screening, automated candidate scoring against role criteria, self-scheduling links for phone screens, and automated status update sequences triggered by pipeline stage changes. The entire workflow ran through Make with no custom development.

The Results

Monthly recruiter time on administrative tasks dropped by 150 hours. Placements increased from 40 to 58 per month within 90 days without adding headcount. Candidate drop-off between application and first interview fell by 27% due to faster and more consistent communication. The firm redirected freed recruiter time toward executive search work with higher placement fees.

Apply This to Your Organization

The methodology behind these results is documented here: HR automation framework.