Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

BPO - Call Center Operations

Case Study 64: Maple Call Center Services

Marketing-optimized case study for Canadian SMBs.

CAD 212,000
Annual Savings
3,433%
ROI
0.3 mo
Payback
BPO - Call Center Operations
Industry Focus

Executive Summary

By deploying AI-assisted ticketing and intelligent call routing, this BPO dramatically improved throughput and resolution accuracy.

Challenge

Call center agents faced high volumes of repetitive inquiries with inconsistent responses.

Solution

  • MapleDesk AI Assist for auto-triage and response suggestions
  • AI Receptionist Teams for intelligent call routing
  • MapleWorkflow to manage escalation triggers
  • MapleReports to monitor performance

Technical Stack

Rationale

Call centers combine ticketing, routing, and analytics with communications platforms and CRM for consistent service.

Key Metrics

22%
Average handle time reduced 22%
15%
First contact resolution improved 15%

Implementation Timeline

Week 1-3

Setup ticket categories + AI models

Week 4-5

Voice flows + routing

Week 6-8

Training & 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 212,0003,433%0.3 mo
HybridCAD 70,000CAD 212,000203%4.0 mo
Custom BuildCAD 220,000CAD 212,000-4%12.5 mo

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