Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Engineering Services

Case Study 92: Maple Engineering Consulting Firm

Marketing-optimized case study for Canadian SMBs.

CAD 126,000
Annual Savings
2,420%
ROI
0.5 mo
Payback
Engineering Services
Industry Focus

Executive Summary

The firm automated proposal drafting, document retrieval, and internal Q&A, improving billable utilization.

Challenge

Engineers spent excessive non-billable time searching past work and drafting proposals.

Solution

  • MapleWorkflow for proposal workflows
  • MapleReceptionist Basic for internal knowledge queries
  • MapleReports for utilization tracking

Technical Stack

Rationale

Engineering firms rely on project platforms and CRM to manage deliverables and client work.

Key Metrics

Improved
Proposal turnaround reduced
Improved
Billable hours increased

Implementation Timeline

Weeks 1-2

Knowledge mapping

Weeks 3-4

Workflow setup

Week 5

Deployment

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 126,0002,420%0.5 mo
HybridCAD 55,000CAD 126,000129%5.3 mo
Custom BuildCAD 170,000CAD 126,000-26%16.2 mo

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