Recruiting · Production
The Good Care Group reduces cost per hire by 44% with Max conversational AI candidate screening
The problem
The Good Care Group received hundreds of weekly applications but most candidates were not good fits for carer positions, making it difficult and costly to identify qualified candidates at scale.
Workflow diagram · grounded in source
1
Automated candidate capture
ai_action
“Max, their conversational AI assistant, automatically handles candidate capture and screening”
2
Qualification routing
routing
“can determine which candidates are qualified to be carers, while disqualifying candidates who aren't good fits”
Reported outcome
Cost per hire decreased by 44% and qualified applicants increased by 142% after deploying Max for automated candidate capture and screening.
Reported metrics
Cost per hire44%
Qualified applicants142%
Reported stack
Max
Frequently asked questions
What did this team achieve with this AI workflow?
Cost per hire decreased by 44% and qualified applicants increased by 142% after deploying Max for automated candidate capture and screening.
What tools did this team use?
Max.
What results were reported?
Cost per hire: 44%; Qualified applicants: 142% (source-reported, not independently verified).
How is this recruiting AI workflow structured?
Automated candidate capture → Qualification routing.