Case Study10 min read

How AI Cut Customer Support Costs by 67%

📅 January 25, 2025By ChatGPT.ca Team

A Canadian accounting firm automated tier-1 support with a custom GPT. Here is the full breakdown and ROI analysis.

Key Results:

  • • 67% reduction in support team time spent on routine questions
  • • $48,000 annual cost savings
  • • 24/7 customer support availability
  • • 95% accuracy rate on responses
  • • 3-week implementation timeline

The Company

Mitchell & Associates is a mid-sized accounting firm based in Toronto with 45 employees serving over 800 small business clients across Ontario. They specialize in tax preparation, bookkeeping, and financial advisory services.

The Problem

During tax season (January through April), the firm was receiving 200+ client inquiries per day. The support team identified that roughly 70% of these questions were repetitive:

  • "When is the tax filing deadline?"
  • "What documents do I need for my business tax return?"
  • "How much will my services cost?"
  • "Can you explain [common tax term]?"
  • "What is your process for new clients?"

The Pain Points:

  • Time drain: Support staff spent 25+ hours per week answering the same basic questions
  • Slow response times: Clients waited 4-8 hours for simple answers during busy periods
  • Expert time wasted: Senior accountants pulled into basic support questions
  • After-hours issues: No support available evenings/weekends when many clients had questions
  • Inconsistent answers: Different team members gave slightly different information

Sarah Mitchell, Managing Partner, realized they had two options:

  1. Hire 2-3 additional support staff ($150K+ annually)
  2. Find a way to automate routine inquiries

The Solution

We built a custom GPT trained on the firm's entire knowledge base:

  • 500+ FAQ documents
  • Service pricing sheets
  • Tax deadline calendars
  • Client onboarding procedures
  • Common tax form explanations
  • Anonymized past client conversations

Implementation Process

1

Knowledge Audit (Week 1)

We worked with their team to gather all documentation, FAQs, and common questions. Identified gaps in written procedures and filled them.

2

GPT Development (Week 2)

Built the custom GPT, trained it on their data, and optimized prompts for accuracy and brand voice. Implemented guardrails to prevent incorrect tax advice.

3

Testing & Integration (Week 3)

Integrated with their email system and website chat. Tested with 200+ real client questions. Fine-tuned responses based on feedback.

4

Launch & Training

Trained the support team on monitoring the GPT, handling escalations, and updating the knowledge base. Launched to all clients with clear messaging.

The Results

67%
Time Saved
From 25 hrs/week to 8 hrs/week
24/7
Availability
Instant answers anytime
95%
Accuracy Rate
Verified answers

Month 1 After Launch:

  • 1,200+ client inquiries handled by the GPT
  • 840 (70%) fully resolved without human intervention
  • 360 (30%) escalated to human support staff
  • Average response time: 12 seconds (vs. 4-8 hours previously)
  • Client satisfaction score: 4.7/5 (up from 3.9/5)

Financial Impact:

Cost Breakdown:

Custom GPT development$3,500
Knowledge base audit & organization$1,200
Integration & testing$1,800
Training & support (30 days)$500
Total Implementation Cost:$7,000

Annual Savings:

17 hrs/week saved × $50/hr × 52 weeks$44,200
Avoided hiring (2 FTEs at $75K each)$150,000
Monthly GPT API costs-$180
Net Annual Savings:$48,020

ROI: 586% in Year 1

Payback period: 1.7 months

Client Feedback

"I emailed at 11 PM with a question about tax forms and got an instant, detailed answer. This is way better than waiting until the next business day!"

— Small Business Owner, Toronto

"The AI understood my question and gave me exactly what I needed. When it could not answer something tax-specific, it connected me to a real accountant immediately."

— Freelance Consultant, Ottawa

Lessons Learned

What Worked Well:

  • Clear escalation paths: The GPT knew when to hand off to humans
  • Continuous training: We updated the knowledge base weekly based on new questions
  • Transparency: Clients knew they were talking to AI and appreciated it
  • Brand voice training: The GPT sounded like the firm, not generic AI

Challenges:

  • Initial skepticism from senior partners (resolved after seeing results)
  • Required cleaning up inconsistent documentation
  • Some clients preferred human interaction (we gave them that option)
  • Needed guardrails to prevent giving specific tax advice (regulatory)

6-Month Update

Six months after launch, the results have been sustained and even improved:

  • 73% of inquiries now fully resolved by AI (up from 70%)
  • Expanded to handle appointment scheduling
  • Integrated with billing system to answer invoice questions
  • Support team now focuses exclusively on complex advisory work
  • Client satisfaction scores remain high (4.8/5)

Sarah Mitchell, Managing Partner:

"This was the best technology investment we have made in 10 years. Our team is happier because they are doing meaningful work instead of answering the same questions all day. Clients are happier because they get instant answers. And we saved enough to hire a senior tax specialist instead of junior support staff."

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