General Motors saves $2M annually and reduces time-to-schedule by 99.6% with Ev-e conversational recruiting assistant
GM was receiving 1–2 million candidates per year and needed over 55 contracted recruiting coordinators to keep up with screening and scheduling, yet interviews still took 5–7 days to schedule.
With Ev-e, GM saved $2M annually through hiring automation and achieved a 99.6% decrease in time-to-schedule, reaching candidates in the way most convenient for them with no time investment from recruiters.
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Frequently asked questions
What did this team achieve with this AI workflow?
With Ev-e, GM saved $2M annually through hiring automation and achieved a 99.6% decrease in time-to-schedule, reaching candidates in the way most convenient for them with no time investment from recruiters.
What tools did this team use?
Ev-e.
What results were reported?
Annual savings from hiring automation: $2M; Decrease in time-to-schedule: 99.6%; Annual candidate volume: 1–2 million candidates per year; Recruiting coordinators previously contracted: over 55 (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate contacts via text or chat → Ev-e automates screening and scheduling → Interview scheduled without recruiter time.