Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Insurance Loss Adjusting

Case Study 114: Maple Insurance Loss Adjusting Firm

Marketing-optimized case study for Canadian SMBs.

CAD 169,000
Annual Savings
2,717%
ROI
0.4 mo
Payback
Insurance Loss Adjusting
Industry Focus

Executive Summary

Claim intake, assignment, and reporting were automated, reducing cycle times and overhead.

Challenge

Manual claim assignment and reporting delayed settlements.

Solution

  • MapleReceptionist Pro for claim intake
  • MapleWorkflow for assignment and tracking
  • MapleReports for performance analysis

Technical Stack

Rationale

Insurance adjusters benefit from claims systems and CRM for tracking clients and data.

Key Metrics

Improved
Claim cycle time reduced
Improved
Adjuster productivity improved

Implementation Timeline

Weeks 1-2

Claim flow mapping

Weeks 3-4

Automation

Week 5-6

Rollout

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 6,000CAD 169,0002,717%0.4 mo
HybridCAD 80,000CAD 169,000111%5.7 mo
Custom BuildCAD 220,000CAD 169,000-23%15.6 mo

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