Caregivers quit to reapply externally rather than transfer. RITA now handles 35,000 hires and transfers through one interface.
One of the largest nonprofit health systems in the United States, operating 51 hospitals and more than 1,100 care sites across seven states with over 120,000 caregivers.
With more than 35,000 position fills annually, nearly half of them internal transfers, talent acquisition had grown too complex for existing systems...
Non-profit health system operating hospitals and clinics.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Providence's Hiring workflow is part of this use case:
Related implementations across industries and use cases
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manual screening bottlenecked caregiver hiring. Now, an AI agent verifies credentials, freeing recruiters to evaluate soft skills.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manual screening bottlenecked caregiver hiring. Now, an AI agent verifies credentials, freeing recruiters to evaluate soft skills.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
PDFs and emailed guides left field techs scrambling. Now QR codes on machines surface short, localized videos in seconds.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Caregivers quit to reapply externally rather than transfer. RITA now handles 35,000 hires and transfers through one interface.
One of the largest nonprofit health systems in the United States, operating 51 hospitals and more than 1,100 care sites across seven states with over 120,000 caregivers.
With more than 35,000 position fills annually, nearly half of them internal transfers, talent acquisition had grown too complex for existing systems...
Non-profit health system operating hospitals and clinics.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Providence's Hiring workflow is part of this use case:
Related implementations across industries and use cases
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manual screening bottlenecked caregiver hiring. Now, an AI agent verifies credentials, freeing recruiters to evaluate soft skills.
Doctors spent 3 hours nightly reviewing complex records. Claude now synthesizes 300-page referrals into instant patient histories.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Manual screening bottlenecked caregiver hiring. Now, an AI agent verifies credentials, freeing recruiters to evaluate soft skills.
Reports read one by one, cohorts assembled in spreadsheets—weeks of work. Now physicians ask in plain language; answers arrive in seconds.
Burnout above 40% as documentation forced a choice: patient or chart. Dragon Copilot drafts notes in 20 seconds; clinicians stay present.
PDFs and emailed guides left field techs scrambling. Now QR codes on machines surface short, localized videos in seconds.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.