Recruiting · Production
Johnson Controls reduces candidate response time by 98% with Emma AI assistant
The problem
JCI recruiters were jumping between systems and manually recording candidate responses, creating a segmented process that prevented a smooth candidate journey and put stress on recruiters.
Workflow diagram · grounded in source
1
Candidate text conversation initiated
trigger
“She elevates the candidate experience through a simple text conversation”
2
Emma automates admin tasks
ai_action
“automating administrative tasks to ease recruiter workload”
3
Workday integration
integration
“an AI assistant that integrates on top of Workday”
Reported outcome
After deploying Emma, JCI achieved a 14% increase in hires and a 98% decrease in candidate response time, lowering response time from 10 hours to 10 minutes.
Reported metrics
Increase in hires14%
Decrease in candidate response time98%
Candidate response timefrom 10 hours to 10 minutes
Reported stack
EmmaWorkday
Frequently asked questions
What did this team achieve with this AI workflow?
After deploying Emma, JCI achieved a 14% increase in hires and a 98% decrease in candidate response time, lowering response time from 10 hours to 10 minutes.
What tools did this team use?
Emma, Workday.
What results were reported?
Increase in hires: 14%; Decrease in candidate response time: 98%; Candidate response time: from 10 hours to 10 minutes (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Candidate text conversation initiated → Emma automates admin tasks → Workday integration.