Recruiting · Production
Flynn Group saves 900,000 hours annually and cuts time-to-hire 21% with AI assistant Frankie
The problem
With hiring delegated to location managers, Flynn Group's franchises experienced slow time to hire, poor candidate experience, frustrated employees, and understaffed locations.
Workflow diagram · grounded in source
1
Franchise hiring need arises
trigger
“With hiring up to location managers, Flynn Group saw its franchises have a slow time to hire, poor candidate experience, frustrated employees, and understaffed locations”
2
Frankie AI handles hiring conversations
ai_action
“Flynn Group implemented a first-of-it's-kind Conversational ATS, powered by an AI assistant named Frankie, to help hire faster and better”
3
Admin burden removed for GMs
output
“removing administrative burdens to give General Managers their time back, spotting true culture fit”
Reported outcome
Flynn Group saved 900,000 hours annually and reduced time-to-hire by 21%, while removing administrative burdens to give General Managers their time back.
Reported metrics
Hours saved annually900,000
Time-to-hire decrease21%
Reported stack
FrankieConversational ATS
Frequently asked questions
What did this team achieve with this AI workflow?
Flynn Group saved 900,000 hours annually and reduced time-to-hire by 21%, while removing administrative burdens to give General Managers their time back.
What tools did this team use?
Frankie, Conversational ATS.
What results were reported?
Hours saved annually: 900,000; Time-to-hire decrease: 21% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Franchise hiring need arises → Frankie AI handles hiring conversations → Admin burden removed for GMs.