MAG OptiAI

SchedAI

Employee Scheduling

Employee Scheduling is the SchedAI workspace for teams that need coverage, skills, availability, rest policies, preferences, and workload balance handled in one reviewable workforce plan.

Product overview

Employee Scheduling

Create coverage plans that respect staffing rules, conflicts, and shift visibility.

Shift-based teams coordinating coverage and scheduling rules
Managers who need conflict-aware planning and a clear scheduling review flow

What this product does

Create coverage plans that respect staffing rules, conflicts, and shift visibility.

Capture employee skills, availability, max-hours limits, shift demand, preferences, and rest policies in one place
Generate schedule drafts that expose coverage, weighted coverage, uncovered demand, preference cost, and workload balance
Use AI Explain, What-if Analysis, and AI Compare to evaluate staffing changes before publishing the plan

Access guidance

Launch access

Employee Scheduling starts with the standard 14-day free trial. When you need more evaluation time, use Billing in the Pro Console to request a manually reviewed 14-day beta for this product.

Workflow

How this product fits into the launch journey

See how this workflow fits into the broader MAG OptiAI journey, whether you arrive here from search, navigation, or a related solution page.

01

Define the coverage need

Model headcount, role requirements, and planning constraints for the schedule period.

02

Resolve conflicts visually

Use the workspace to surface scheduling issues and compare schedule options with more clarity.

03

Approve the operating plan

Finalize and export the schedule once the right balance of coverage and constraints is achieved.

Proof

See the urgent-care staffing case study

The employee case study shows an urgent-care workforce with 16 employees, 42 shifts, 217 preference records, AI Explain, a targeted float-clinician what-if branch, and AI Compare.