Insights
Ask analytical questions about your operations.
Ask AIready
Natural-language questions over your scheduling data. Examples: 'why is overtime up?', 'who can cover Friday at Manhattan Beach?'.
Fairness & burnoutapi ready · ui pending
Gini distribution per metric (overtime, weekend, difficult shifts) and per-provider burnout risk classification.
Forecastapi ready · ui pending
ADC + staffing requirement per clinic per day, with confidence intervals derived from historical patterns.
Simulateapi ready · ui pending
Run scenarios (callout, mass PTO, flu surge, clinic closure, attrition) before they happen — see coverage / OT / continuity impacts.
Override learningready
Repeated override patterns surface as proposed rules. Approve → rule activates. Reject → never proposed again.
What's deterministic vs LLM
- Deterministic: fairness math, forecasts, simulations, override-pattern detection, and every recommendation rationale. Numbers are reproducible.
- LLM-assisted (optional): natural-language summaries on the Ask-AI surface. The underlying structured rationale is always preserved.