Xcelore is an IT services company that takes on project work across multiple tech stacks. Their campus hiring funnel processes thousands of applicants across five engineering profiles every cycle.
The challenge: campus hiring at engineering scale
Before GoodFit, the process was entirely manual from start to finish. Recruiters reviewed every resume individually, then invited shortlisted candidates to attend in-person interviews at the company office, completing all technical rounds in a single day.
There was no early filtering layer, which meant a lot of time spent before anyone knew whether a candidate could actually code. With 9,000+ applications across 5 tech profiles, this manual process consumed weeks of TA and engineering time.
"Before GoodFit, the process was entirely manual. Recruiters reviewed every resume, then invited shortlisted candidates to full-day in-person rounds. There was no early filtering layer, a lot of time spent before anyone knew whether a candidate could actually code."
Sakshi Srivastava
Campus Hiring Recruiter, Xcelore
The solution: structured early filter with AI
GoodFit added a structured early filter: AI coding assessments and voice interviews delivered at scale to every applicant. Shortlists flowed to engineers already pre-filtered on real coding signal, with proctoring included by default.
The AI handled the first round for all five tech profiles simultaneously, producing comparable scorecards across every campus and every candidate.
The outcome
Xcelore ran 2,600+ AI interviews across 9,000+ applications for 5 tech profiles, saving roughly 6 weeks of TA and engineering time compared to the old in-person-only funnel.
Engineering leads now make staffing decisions from a ranked, consistent shortlist instead of spending days on in-person screens for candidates who cannot pass a basic coding test.
