General Motors saves over $2 million in recruiting costs and reduces time-to-schedule from 5 days to 29 minutes with EV-e AI scheduling
GM needed to rapidly scale recruiting for new EV and technology talent while its recruitment coordinator team was spending too much time on manual interview scheduling — looking at calendars, chasing candidates down, and rescheduling interviews last minute.
GM saved over $2 million on recruiting costs in less than a year, reduced time-to-schedule from 5 days to 29 minutes, and EV-e scheduled more than 50,000 interviews — transforming a fully manual process into a fully automated one.
Frequently asked questions
What did this team achieve with this AI workflow?
GM saved over $2 million on recruiting costs in less than a year, reduced time-to-schedule from 5 days to 29 minutes, and EV-e scheduled more than 50,000 interviews — transforming a fully manual process into a fully a…
What tools did this team use?
EV-e.
What results were reported?
Recruiting cost savings: over $2 million; Time-to-schedule reduction: 5 days to 29 minutes; Interviews scheduled: more than 50,000; Scheduling process automation: 100% manual process made 100% automated (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate applies or completes screen → EV-e offers interview times → Interview confirmed.