How can home services companies reduce call centre costs?

Cut staffing costs, answer more calls, and book jobs automatically with AI

January 9, 2026
4
 minutes read
Use Cases
How can home services companies reduce call centre costs?

Table of Contents

For home services companies, phone calls equal bookings. But answering those calls is expensive. Staffing phones all day, covering peak hours, and handling after-hours calls quickly adds to operating costs.

Most incoming calls are routine: booking requests, schedule changes, and availability checks, yet they still require trained staff. As call volume grows, so does headcount, making call centers increasingly difficult to scale without compromising margins.

Reducing call center costs starts with handling calls more efficiently, using automation and AI phone systems to manage volume without adding staff.

Why do call center costs rise so quickly in home services?

Home services businesses rely on phone calls more than most industries. Customers call to book urgent jobs, check availability, or get help during breakdowns. When calls go unanswered, customers rarely wait; they call the next provider.

Industry research shows that up to 62% of callers won’t call back after a missed call.

To avoid missed calls, companies add staff. However, staffing phones all day, covering evenings, and handling seasonal spikes can quickly drive up costs. According to the U.S. Bureau of Labor Statistics, customer service labor costs have risen steadily year over year, driven by wages, training, and turnover.

For home services companies, growth often means higher call center costs before it means higher profit.

For how many calls do you actually need a human team member?

Most inbound calls in plumbing, HVAC, and roofing follow repeat patterns. Booking requests, reschedules, service availability checks, and basic questions make up the majority of call volume.

Call center studies show that 50–70% of inbound calls are routine and predictable.

Yet trained agents still handle these calls manually. That’s where cost inefficiency starts.

An AI phone answering service can take over these repetitive interactions, answering instantly, gathering job details, and routing only complex cases to human agents. This reduces call load without reducing coverage.

This is especially important because home services businesses can’t afford downtime when missed calls directly translate into lost jobs.

What makes booking calls so expensive?

Booking is one of the most time-consuming call types. Agents ask questions, check schedules, confirm details, and update systems, all while keeping callers engaged.

Research from McKinsey shows that automation can reduce call handling time by 30–50% for structured interactions like scheduling.

An AI booking system handles this flow automatically. It checks availability, books jobs, manages reschedules, and confirms appointments without agent involvement. That directly lowers cost per call.

This is exactly how AI booking systems work for home services when integrated with existing calendars and dispatch tools.

The cost of after-hours calls

After-hours coverage is expensive and hard to manage. Paying night staff or outsourcing answering services adds recurring cost, yet missed after-hours calls often include emergency jobs with high value.

AI phone agents answer calls 24/7 without shift costs. They capture emergency requests, book next-day jobs, and prevent leads from going to voicemail, without adding headcount.

Virtual receptionist vs AI phone agent: What actually reduces cost?

Many home services companies use virtual receptionist services to avoid missed calls. The issue is pricing. Most charge per call or per minute, so costs scale with volume.

Here’s how the two compare:

<table>
 <thead>
   <tr>
     <th>Feature</th>
     <th>Virtual Receptionist</th>
     <th>AI Phone Agent</th>
   </tr>
 </thead>
 <tbody>
   <tr>
     <td>Availability</td>
     <td>Limited hours</td>
     <td>24/7</td>
   </tr>
   <tr>
     <td>Pricing model</td>
     <td>Per call / per minute</td>
     <td>Flat or usage-based</td>
   </tr>
   <tr>
     <td>Booking capability</td>
     <td>Manual</td>
     <td>Automatic</td>
   </tr>
   <tr>
     <td>Scalability</td>
     <td>Costs rise with volume</td>
     <td>Handles growth without staff</td>
   </tr>
   <tr>
     <td>After-hours coverage</td>
     <td>Extra cost</td>
     <td>Included</td>
   </tr>
 </tbody>
</table>

This is why more contractors are replacing receptionist services with AI-based systems, especially after comparing options like the best virtual receptionist for plumbing contractors against AI phone agents.

How can companies lower costs without shrinking their team?

Reducing call center costs can be done without letting go of staff. The key is removing repetitive tasks from agents’ daily work. When AI handles routine calls like appointment bookings, schedule changes, and basic service questions:

  • Agents can focus on complex customer needs and high-value conversations.
  • Fewer hires are required during peak seasons, reducing recruitment and training costs.
  • Training time drops because staff spend less time learning to handle repetitive calls.
  • Burnout decreases, which matters: according to Gallup, turnover caused by burnout can cost businesses up to twice an employee’s salary.

Using AI to manage routine calls helps teams stay lean and effective, keeping service quality high without adding staff or stress.

What does cost reduction look like in practice?

Home services companies that implement AI phone answering and booking systems consistently see measurable benefits:

  • Higher answer rates: no missed calls, even during after-hours or peak times.
  • Lower staffing and overtime costs: fewer agents needed for routine calls.
  • Faster booking times: appointments are confirmed instantly, reducing customer wait time.
  • Better use of existing agents: human staff focus on calls that actually require their judgment.

Instead of scaling call centers with headcount, businesses scale their operations with AI systems, improving efficiency and profitability simultaneously.

The best AI phone answering platforms for home services to reduce costs

Reducing call center costs is about using tools that handle calls, bookings, and after-hours coverage efficiently. The right AI phone answering platforms can handle routine calls, automate bookings, and free your team to focus on high-value work.

Some of the top platforms home services companies can consider include:

  1. Sameday – Built specifically for plumbing, HVAC, and roofing companies, Sameday’s AI phone answering and automated booking system ensures calls are answered 24/7, bookings happen automatically, and no lead is ever missed. It’s designed to integrate seamlessly with your existing dispatch systems while keeping costs low.
  2. Smith.ai – A versatile virtual receptionist platform that combines live agents and AI answering. It works well for businesses looking to handle high call volumes with a mix of automation and human support.
  3. Podium – Focused on customer communication, Podium handles phone, text, and web chat, helping service businesses capture leads and schedule appointments faster, reducing the need for large call teams.
  4. AnswerConnect – A 24/7 answering service with AI features for routing and booking, helping companies manage overflow calls without adding headcount or overtime costs.

Making every call count: scaling smarter, not bigger

For home services companies, every missed call is a missed job, and every extra agent adds cost. Sameday’s AI phone answering for home services lets businesses handle calls more efficiently, reduce staffing pressure, and maintain excellent customer service without expanding headcount.

By automating routine calls, managing bookings automatically, and covering after-hours requests, your team can focus on what really matters: getting jobs done, keeping customers happy, and growing the business.

Ready to see how AI can transform your call center?

Book a demo with us and start handling more calls with less cost today.

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Sameday dashboard displaying customer sources, week-to-date metrics including ROAS 7.1X, spend $24,231, sold/serviced 171/149, revenue $172,421, leads 238, and close rate 72% with respective bar and pie charts.

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