Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Medical Transportation

Case Study 122: Maple Non-Emergency Medical Transport

Marketing-optimized case study for Canadian SMBs.

CAD 191,000
Annual Savings
2,839%
ROI
0.3 mo
Payback
Medical Transportation
Industry Focus

Executive Summary

Ride booking, scheduling, and patient notifications were automated to improve reliability.

Challenge

Manual scheduling caused missed rides and delays.

Solution

  • MapleReceptionist Pro for booking intake
  • MapleWorkflow for scheduling
  • MapleReports for service analytics

Technical Stack

Rationale

Medical transport depends on scheduling and dispatch systems integrated with CRM and notifications to ensure timely rides.

Key Metrics

Improved
Missed rides reduced
Improved
Utilization increased

Implementation Timeline

Weeks 1-3

Scheduling logic

Weeks 4-5

Automation

Week 6

Go-live

Pricing & Delivery Options

SMBs can choose a Maple SaaS deployment, a hybrid integration with existing tools, or a custom build. The pricing below reflects realistic first-year ranges for each option.

ApproachFirst-Year CostAnnual SavingsROIPayback
Maple SaaSCAD 6,500CAD 191,0002,839%0.3 mo
HybridCAD 90,000CAD 191,000112%5.7 mo
Custom BuildCAD 240,000CAD 191,000-20%15.1 mo

Ready to map your SMB workflow?

We can estimate ROI and scope the right MapleWorkSuite configuration for your team.

Start a Custom Case Study