A 50,000-employee home health care organization extended UKG Pro Recruiting with CloudApper AI Recruiter to add geographic zip-code filtering, automated rehire outreach campaigns for former employees, and blind-ranking — reducing recruiter workload and improving hiring quality at scale.
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A home health care organization with approximately 50,000 direct care employees was facing a recruiting problem no manual process could solve: their workforce spanned dozens of service territories, former employees re-entered through the same pipeline as first-time candidates, and application volume was outpacing what their team could manually route, screen, and prioritize. Running UKG Pro as the system of record, they needed to add capabilities it didn’t yet have — geographic filtering by service zip code, a dedicated re-engagement pipeline for former employees, and blind-ranking to surface the strongest candidates first. CloudApper AI Recruiter for UKG added those layers on top of UKG Pro Recruiting without displacing any part of the existing setup.
The Former Employee Is Already Your Best Candidate
In home health care, rehiring a former employee in good standing costs materially less than a first-time hire — faster credentialing, shorter orientation, lower 90-day turnover. At 50,000 employees and the attrition rates typical in direct care, the pool of eligible returning employees at any given time is large. Treating that pool as identical to first-time applicants is a financial oversight.
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The organization’s VP of Talent Acquisition described the situation directly: “We had former aides applying through the standard pipeline with no flag to tell recruiters who they were. A candidate who left a year ago on good terms was buried in the same queue as someone brand new to the work. We were leaving real value on the table.”
CloudApper AI Recruiter added a former employee identification layer within UKG Pro Recruiting — automatically tagging returning candidates by prior service history, routing them to a dedicated track, and triggering automated re-engagement campaigns to former employees in target territories before they applied elsewhere.
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Geographic Filtering at Distributed Workforce Scale
The second challenge was geographic. Home health care isn’t office work — a candidate’s distance from their assigned patient territory determines whether the placement is even viable. Manually verifying each applicant’s location relative to open service areas was consuming recruiter hours that had better uses.
For UKG customers exploring how to accelerate healthcare hiring without adding headcount, geographic screening rarely gets named first — but at distributed home care scale, it’s one of the most time-expensive steps in the funnel. CloudApper AI Recruiter added configurable zip-code routing that matched applicants to open positions in their serviceable area before any human review. Candidates outside range were flagged automatically; those within range entered blind-ranking scored on prior experience, availability, and certifications.
“The volume we were managing made geographic verification a real bottleneck,” said the Director of HR Operations. “Automating that single step changed how our recruiters spent their days. They were working ranked, geographically valid candidates instead of triaging raw applications.”
An Extension of UKG Pro, Not a Workaround
A common concern when adding AI tools to an existing HRIS is whether the result is two competing systems — candidate data split across platforms, recruiters switching between tools. In this deployment, CloudApper AI Recruiter runs as an extension of UKG Pro Recruiting. Candidate data flows through UKG Pro; CloudApper adds routing, ranking, and outreach logic on top and writes results back into UKG Pro records. For teams already managing AI-assisted screening within UKG Pro Recruiting, the model is familiar: recruiters stay in UKG Pro, and the candidates they see there arrive pre-ranked and pre-filtered.
The HRIS Director described the operational reality: “Recruiters didn’t have to learn a new system. They were still in UKG Pro. CloudApper was making the candidates they saw there better before they ever touched a profile.”
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After CloudApper AI Recruiter went live, the team spent less time on geographic verification, less time manually identifying former employees, and more time on the recruiting work that requires human judgment. For organizations navigating high-volume healthcare hiring across multiple role types, that distinction matters: adding capability on top of UKG Pro is a different project than replacing it, and a considerably faster one.
If your organization runs UKG Pro and needs to add geographic filtering, automated rehire campaigns, or AI-ranked candidate queues to your recruiting workflow, CloudApper can build those capabilities on your existing UKG stack.
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