Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Insurance Underwriting

Case Study 77: Maple Insurance Underwriting MGA

Marketing-optimized case study for Canadian SMBs.

CAD 109,000
Annual Savings
2,080%
ROI
0.6 mo
Payback
Insurance Underwriting
Industry Focus

Executive Summary

An MGA implemented AI to help with submission triage and appetite matching, improving turnaround and risk alignment.

Challenge

Manual review of submissions and risk alignment slowed underwriting decisions.

Solution

  • MapleWorkflow for triage and routing
  • MapleReceptionist Pro for submission intake
  • MapleReports for risk profile analytics

Technical Stack

Rationale

Insurance underwriting operations use specialized platforms integrated with CRM and document systems.

Key Metrics

Improved
Underwriting cycle time improved
Improved
Risk alignment accuracy improved

Implementation Timeline

Week 1-3

Submissions workflow design

Weeks 4-5

Bot configuration

Week 6-7

Pilot

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 5,000CAD 109,0002,080%0.6 mo
HybridCAD 60,000CAD 109,00082%6.6 mo
Custom BuildCAD 180,000CAD 109,000-39%19.8 mo

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