AI-Powered Intelligent Shift Collaboration

Healthcare staff scheduling software that fills shifts before they become gaps

Reduce frontline leader administrative burden, improve healthcare staff schedule flexibility, and manage labor expenses by combining AI-powered demand forecasting with real-time resourcing.

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Predict coverage risk before it happens

Last-minute callouts, fragmented systems, and limited workforce visibility make it difficult to stay ahead. Demand forecasting replaces manual tracking and retrospective reporting with forward-looking intelligence, real-time operational data, and system-wide signals. Built on Hallmark's industry dataset and finetuned with predictive insights, it surfaces staffing gaps before they hit the schedule.

Key capabilities include:

AI-driven prediction of future demand across the entire workforce
Visibility into expected demand by unit, role, and timeframe
Early elimination of overstaffing and understaffing before it happens
Control at the department, unit, and individual level
Support across full-time, float, and contingent talent

Fill shifts through
coordinated execution

Once a need is identified, staffing actions are executed within the same system, without manual coordination across separate tools or communication channels.

Capabilities include:

Dynamic shift broadcasting to qualified resources across multiple staffing sources simultaneously
AI-driven autofill based on availability, credentials, cost, skill mix, and prior shift activity, triggered on demand or fully automated in real time
Ask AI, so leaders can see where staffing risk is building, which units are driving overtime, or what happens if float pool coverage changes, without navigating dashboards or reports
Mobile workforce experience for staff to view opportunities, update availability, and accept, swap, or split shifts
Guardrails and scheduling controls enforcing role eligibility, credential requirements, and organizational policies

Fill shifts through coordinated execution

Improve staffing outcomes through continuous AI learning

Intelligent Shift Collaboration learns from employee behavior over time, including shift acceptances, declines, and cancellations, to understand individual preferences and work patterns. These insights are powered by AI agents purpose-built for workforce operations, not a general model layered on top of your data.

The result:

More accurate matching for future opportunities
Better alignment between supply and demand
Reduced manual effort for staffing teams
A more transparent, flexible, and equitable scheduling experience

Measurable results

95K+

Shifts filled via auto AI scheduling

since Jan 2025

40%

Accuracy increase for credentials
uploaded by agency

63K+

Credentials parsed and validated
via AI since Jan 2026