Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Insurance Brokerage

Case Study 101: Maple Insurance Brokerage Network

Marketing-optimized case study for Canadian SMBs.

CAD 176,000
Annual Savings
2,833%
ROI
0.4 mo
Payback
Insurance Brokerage
Industry Focus

Executive Summary

Quoting, renewals, and service requests were automated across the brokerage network.

Challenge

High service volume and renewal processing slowed staff.

Solution

  • MapleReceptionist Pro for client intake
  • MapleWorkflow for renewals
  • MapleReports for portfolio insights

Technical Stack

Rationale

Insurance brokerages depend on CRM, document management, and workflow automation for renewals and servicing.

Key Metrics

Improved
Renewal cycle time reduced
Improved
Service workload decreased

Implementation Timeline

Weeks 1-2

Service flow definition

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 176,0002,833%0.4 mo
HybridCAD 80,000CAD 176,000120%5.5 mo
Custom BuildCAD 220,000CAD 176,000-20%15.0 mo

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