Recruiting · Production

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

The problem

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.

Workflow diagram · grounded in source
1
Candidate applies or completes screen
Trigger
After a candidate submits a resume or completes a phone screen, the scheduling workflow is triggered.
▾ source quote
“Rather than waiting days for an update after submitting a resume or completing a phone screen, candidates immediately get a message from EV-e”
2
EV-e offers interview times
Ai action
EV-e immediately contacts the candidate through their preferred communication channel and offers available interview times.
▾ source quote
“candidates immediately get a message from EV-e through their preferred communication channel that will offer up times and confirm their next interview”
3
Interview confirmed
Output
EV-e confirms the candidate's next interview, eliminating manual scheduling work from recruiters.
▾ source quote
“confirm their next interview”
Reported 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.

Reported metrics
Recruiting cost savingsover $2 million
Time-to-schedule reduction5 days to 29 minutes
Interviews scheduledmore than 50,000
Scheduling process automation100% manual process made 100% automated
Reported stack
EV-e
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Source
https://www.paradox.ai/blog/bersins-case-study-on-general-motors-how-they-saved-2-million-on-recruiting-costs-in-less-than-a-year
Read source ↗

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.

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