Use Case 1
Daily Staffing Intelligence
Trigger: Shift-level monitoring
1.Pull real-time staffing data from scheduling system
2.Calculate patient-to-nurse ratios per unit
3.Identify units below safe staffing thresholds
4.Flag overtime trending above targets
5.Recommend rebalancing or agency requests
6.Generate CNO dashboard
✓
Real-time visibility into staffing health across all clinical units.
Integrations
Nurse Scheduling (Kronos, API Healthcare)
HRIS (Workday)
Staffing Agency VMS
Clinical Data (Epic, Cerner)
Industries
healthcaretechnologyfinancial-servicesretailmanufacturingprofessional-servicespublic-sectorhospitalityother
See It In Action
A sample conversation with this agent
Give me a staffing health report for the ICU.
ICU Staffing Health Report (March 2026): Current staffing: 42 FTE RNs vs. 48 budgeted (87.5% fill rate). Overtime: 18% of total hours (target: < 10%). Agency usage: 6 travelers (14% of workforce, $780K annualized premium). Safe staffing ratio: 1:1.8 (target: 1:2, but 3 shifts this week exceeded 1:3). Attrition risk: 4 RNs flagged high-risk (burnout signals + comp below market). 90-day forecast: without intervention, expect 2 additional departures pushing agency usage to 20%.
What would it cost to eliminate agency nurses in the ED?
ED currently uses 8 agency nurses at an annualized cost of $1.2M (premium of $680K over FTE equivalent). To eliminate agency: need to hire 10 FTE RNs (assumes 80% retention). Hiring costs: $120K (recruiting). Salary differential: $520K/year savings vs. agency rates. Retention risk: need to address comp (ED RNs are 8% below market) - estimated $160K annual investment. Net first-year savings: $340K. Net annual savings thereafter: $520K. Timeline to full transition: 4-6 months.