Recruiting · Production
MJHS uses Olivia conversational AI to increase hiring event registrations by 77% and cut cost per applicant by 60%
The problem
MJHS's hiring events attracted interest but the end-to-end process was time-consuming for the recruiting team.
Workflow diagram · grounded in source
1
Hiring event initiated
trigger
“MJHS hosts 4–6 hiring events per year for key roles within the organization”
2
Olivia handles admin backend
ai_action
“MJHS implemented their conversational AI assistant, Olivia, to handle the administrative backend of their hiring events”
3
Screening, scheduling, and Q&A
ai_action
“She drives the screening and scheduling process, while answering candidate questions”
Reported outcome
After implementing Olivia, MJHS achieved a 77% increase in event registrations and a 60% decrease in cost per applicant.
Reported metrics
Event registrations77%
Cost per applicant60%
Reported stack
Olivia
Frequently asked questions
What did this team achieve with this AI workflow?
After implementing Olivia, MJHS achieved a 77% increase in event registrations and a 60% decrease in cost per applicant.
What tools did this team use?
Olivia.
What results were reported?
Event registrations: 77%; Cost per applicant: 60% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Hiring event initiated → Olivia handles admin backend → Screening, scheduling, and Q&A.