Recruiting · Production

Neighborly cuts cost per hire 54% and time to schedule 99.87% with AI assistant Maya

The problem

A mass exodus of workers leaving the trades industry reduced the volume of candidates available to fill Neighborly's open roles, forcing the company to modernize how it acquired talent.

Workflow diagram · grounded in source
1
Applicant enters conversational ATS
trigger
“Neighborly implemented a first of its kind conversational ATS, powered by an AI assistant named Maya”
2
Maya screens and schedules applicants
ai_action
“automatically handles the administrative hiring work like screening and scheduling applicants”
Reported outcome

After deploying the conversational ATS powered by Maya, Neighborly achieved a 54% decrease in cost per hire and a 99.87% decrease in time to schedule.

Reported metrics
Cost per hire54%
Time to schedule99.87%
Reported stack
Maya
Source
https://www.paradox.ai/case-studies/neighborly
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After deploying the conversational ATS powered by Maya, Neighborly achieved a 54% decrease in cost per hire and a 99.87% decrease in time to schedule.

What tools did this team use?

Maya.

What results were reported?

Cost per hire: 54%; Time to schedule: 99.87% (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Applicant enters conversational ATS → Maya screens and schedules applicants.