recruiting · manufacturing · workflow
Johnson Controls reduces candidate response time by 98% with Emma AI assistant
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.
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 text conversation initiated
Emma elevates the candidate experience through a simple text conversation.
Tools used
Emma
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.
Results
Time saved98%
Volume14%
Grounding & classification
Source type: vendor customer story
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ai agentconversational aichat transcriptmetric backednamed customerproduction runtime claimedtools describedworkflow describedmanufacturingemployee productivityresponse time reductionthroughput increasevendor customer storyrecruitingautonomous resolution