Use cases / Lead Capture

Case Study: Plumbing Shop Cuts Call Abandonment With an AI Virtual Agent (Brothers, Denver)

Last updated · Reviewed by Jacob Campos

Short answer: About 30% of callers hung up before reaching a CSR, and callbacks could take 10+ hours. The fix: Measure your current abandon rate and time-to-callback, then follow the 4-step workflow below using ServiceTitan AI Virtual Agent (calls, texts, marketplace leads) + ServiceTitan capacity planning. It's rated medium to set up, and you should measure results against your own baseline.

The problem: About 30% of callers hung up before reaching a CSR, and callbacks could take 10+ hours.

Trades
Plumbing, HVAC, Electrical
Category
Lead Capture
Difficulty
Medium
ROI lever
Lower call abandonment / recovered jobs
Tools
ServiceTitan AI Virtual Agent (calls, texts, marketplace leads) + ServiceTitan capacity planning

Workflow

  1. Measure your current abandon rate and time-to-callback.
  2. Rebuild job types, zones, technician skills and capacity rules so the agent books what you can actually deliver.
  3. Turn on the agent for calls, texts and online leads.
  4. Track abandon rate and agent-booked jobs weekly; expand use cases only after the basics hold.

Starter prompt

Help me prepare my field service data for an AI booking agent. Here are my current job types, service zones, technician skills and daily capacity: [paste]. List gaps or overlaps that would let an agent book a job we can't deliver, suggest a cleaner job-type list, and write the booking rules (what it may book, what it must hand off). Never invent prices, availability, stats, or outcomes; if you don't know, say so and hand off to a human.

What to measure

Vendor-reported (ServiceTitan customer story, Sept 2, 2026; not independently verified): Brothers Plumbing, Heating & Electric (Denver) reports 600+ jobs booked through the virtual agent, $1.33M in attributed revenue, and call abandonment falling from about 30% to roughly 5-10%. Their lead systems administrator says months of rebuilding job types and capacity planning came first: 'The virtual agent is as good as the information you give it.' (source linked below)

Comparing vendors? See AI tools for contractors, with checked prices and the missed-call cost calculator.

FAQ

What tools do I need for case study: plumbing shop cuts call abandonment with an ai virtual agent (brothers, denver)?

A typical stack is ServiceTitan AI Virtual Agent (calls, texts, marketplace leads) + ServiceTitan capacity planning. Pricing varies by vendor and plan, so check each vendor's current pricing page. Start with tools you already pay for when they cover the job.

How hard is this to set up?

It's rated medium. Start with step one: Measure your current abandon rate and time-to-callback.

How do I know if it's working?

The main lever is lower call abandonment / recovered jobs. Record your baseline for a few weeks before you switch it on, then compare. Vendor-reported (ServiceTitan customer story, Sept 2, 2026; not independently verified): Brothers Plumbing, Heating & Electric (Denver) reports 600+ jobs booked through the virtual agent, $1.33M in attributed revenue, and call abandonment falling from about 30% to roughly 5-10%. Their lead systems administrator says months of rebuilding job types and capacity planning came first: 'The virtual agent is as good as the information you give it.' Source: https://www.servicetitan.com/blog/success-story-brothers-plumbing-ai-virtual-agent

Is it safe to let AI talk to customers?

Keep a human in the loop for prices, promises, and complaints. Any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away.

Sources

Official vendor and platform pages for the tools and policies named above. We don't endorse any vendor.

Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.

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