MAG OptiAI

SchedAI

Service Scheduling

Service Scheduling helps teams assign the right coverage to the right demand window, with a public landing page that explains the workflow before users open the 14-day free trial in Pro.

Product overview

Service Scheduling

Balance coverage, demand, and service expectations across field or appointment-based work.

Field-service and appointment-based operations
Teams that need schedule clarity while balancing staffing and service commitments

What this product does

Balance coverage, demand, and service expectations across field or appointment-based work.

Structure demand and coverage inputs in one planning workspace
Review capacity and schedule outputs visually
Export revised schedules once the plan is approved

Access guidance

Launch access

Service 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

Model service demand

Describe incoming work, appointment windows, and staffing or resource constraints.

02

Evaluate staffing fit

Review the proposed schedule against the service requirements you are trying to satisfy.

03

Adjust for rollout

Use the output as the basis for a production-ready service plan in Pro.

Proof

See the service use case

The service use-case page provides the proof-oriented companion to this product page.