AІ Workforce Assistant
Always On. Always Solving. Always Focused on Care.
Thea® is the always-on AI workforce assistant integrated into Residex®’s robust Staff Scheduling Module, the most advanced tool for managing every aspect of senior living staffing. Together, they deliver an end-to-end workforce solution, where powerful scheduling logic meets tireless AI optimization.
Thea® works 24/7 to anticipate, fill, and optimize shifts using real-time census and acuity, staff preferences, and credential requirements. It manages last-minute callouts without disruption, drafts optimal schedules months ahead, and ensures compliance—so administrators can focus on care, not calendars.
Handles Callouts 24/7
Maximize resources, reduce costs, and improve care quality with data-driven, transparent scheduling decisions.

Builds Smarter Schedules
Drafts optimal schedules 1–2 months ahead using live operational data and rules you control.
Keeps You Compliant
Tracks and enforces credential requirements
Controls Labor Costs
Identifies overtime risks and reduces agency reliance with predictive staffing.
Works Seamlessly with Your Systems
Integrated with Residex’s EHR/eMAR, time and attendance, and HRIS.
Thea® is Your AI Teammate for Senior Care Staffing
Shift Coverage & Callout Management
- Automates callout intake and backfill prioritization
- Real-time notifications to fill shifts fast and avoid costly OT
Predictive Scheduling
- Auto-drafts schedules 1–2 months ahead based on census and acuity trends
- Balances cost, compliance, and care quality
Credential Compliance
- Monitors credentials in real time, sends proactive alerts
- Blocks non-compliant staff from being scheduled
Labor Optimization Insights
- Identifies overtime hotspots and underutilization
- Provides actionable dashboards and monthly reports
Multi-Language, Multi-Community Support
- Works across all locations in your organization
- Communicates in any language your staff needs
FAQ: Thea® AI Scheduling Assistant
Yes. Thea® adapts to your facility’s policies, shift preferences, and labor requirements, making it highly effective across different care settings and staff structures.
