Recruiting · Production
Medtronic automates interview scheduling with conversational AI, reducing scheduling time to 17 minutes
The problem
Medtronic, with 12,000 hires annually, was manually scheduling thousands of interviews — a process that was time-consuming, inefficient, and slowed down hiring.
Workflow diagram · grounded in source
1
Manual scheduling burden
trigger
“Medtronic, with a global workforce of 95,000 employees and 12,000 hires annually, struggled with manually scheduling thousands of interviews”
2
Conversational AI automates scheduling
ai_action
“Medtronic implemented conversational AI to automate interview scheduling, freeing recruiters to prioritize meaningful conversations over administrative tasks”
3
Multiple candidates scheduled quickly
output
“recruiters now able to schedule multiple candidates in just minutes”
Reported outcome
Conversational AI scheduled 6,000 interviews in three months and reduced scheduling time from several days to just 17 minutes, dramatically improving candidate experience and recruiter efficiency.
Reported metrics
Annual hires12,000
Interviews scheduled in three months6,000
Scheduling time after automation17 minutes
Scheduling time before automationseveral days
Reported stack
conversational AISam
Frequently asked questions
What did this team achieve with this AI workflow?
Conversational AI scheduled 6,000 interviews in three months and reduced scheduling time from several days to just 17 minutes, dramatically improving candidate experience and recruiter efficiency.
What tools did this team use?
conversational AI, Sam.
What results were reported?
Annual hires: 12,000; Interviews scheduled in three months: 6,000; Scheduling time after automation: 17 minutes; Scheduling time before automation: several days (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Manual scheduling burden → Conversational AI automates scheduling → Multiple candidates scheduled quickly.