recruiting · manufacturing · workflow
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Candidate applies or completes screen
After a candidate submits a resume or completes a phone screen, the scheduling workflow is triggered.
Tools used
EV-e
Outcome
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.
Results
Time saved5 days to 29 minutes
Volumemore than 50,000
Cost replacedover $2 million
Running sinceJune 2021
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes.
ai receptionistconversational airesumemetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedautomotivecost reductioncycle time reductionemployee productivitythroughput increasevendor customer storyhr opsrecruitingautonomous resolution