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Ask an AI which customers are due for maintenance instead of digging through records

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Thumbs Up started in 2017 as a one-man HVAC company in the Dallas area and is still a small team. Owner Richard Fisher grows mostly through maintenance agreements, but finding who was due for a visit meant going through customers one by one. Now he asks Podium's AI Operator for the next 20 customers due for maintenance and gets the list right away. The AI also answers customer messages and finds duplicate customer records, then fixes them when asked.

Business type: Contractors & home services. Tool used: Podium AI Employee + AI Operator. Result: Podium reports customers get an AI response in 60 seconds and that these AI tasks save the owner more than 15 hours of admin work a month. Since moving to Podium, the company's invoice rate went from 43% to 83% and its collection rate from 39% to 64%; those are for the whole switch, not the AI alone. Reported in Podium's case study.

Source: Podium (Company case study) · Added Tue, Nov 3 · Last updated 2026-11-03

ToolPodium AI Employee + AI Operator · More examples: PodiumBusinessContractors & home servicesTaskOperations & admin, Lead follow-up, Customer supportSourcePodium (Company case study)

How they set it up

  1. Keep your customers and maintenance plans in one system the AI can read.
  2. Ask the AI in plain words: 'Who are the next 20 customers due for maintenance?'
  3. Use the list to text or call those customers to book a visit.
  4. Turn on AI replies so customer messages get answered while you're in the field.
  5. Ask the AI to find duplicate or messy customer records, check them, then let it fix them.

Result

Podium reports customers get an AI response in 60 seconds and that these AI tasks save the owner more than 15 hours of admin work a month. Since moving to Podium, the company's invoice rate went from 43% to 83% and its collection rate from 39% to 64%; those are for the whole switch, not the AI alone. Reported in Podium's case study. (as reported by the source)

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Guide: AI answering service for HVAC companies: real examples and how to set one up

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Questions and answers

What does the AI agent do here?

Thumbs Up started in 2017 as a one-man HVAC company in the Dallas area and is still a small team. Owner Richard Fisher grows mostly through maintenance agreements, but finding who was due for a visit meant going through customers one by one. Now he asks Podium's AI Operator for the next 20 customers due for maintenance and gets the list right away. The AI also answers customer messages and finds duplicate customer records, then fixes them when asked.

Which tool did they use?

Podium AI Employee + AI Operator.

What was the result?

Podium reports customers get an AI response in 60 seconds and that these AI tasks save the owner more than 15 hours of admin work a month. Since moving to Podium, the company's invoice rate went from 43% to 83% and its collection rate from 39% to 64%; those are for the whole switch, not the AI alone. Reported in Podium's case study. (as reported by the source)

How did they set it up?

Keep your customers and maintenance plans in one system the AI can read. Ask the AI in plain words: 'Who are the next 20 customers due for maintenance?' Use the list to text or call those customers to book a visit.

Answers come only from the source. Questions it doesn't answer are left out.

Starter prompt

Our own prompt for copying this setup. Swap in your details. Not quoted from the source.

From my customer list in [system], list the next 20 customers whose maintenance visit is due, with name, phone, last visit date and plan type. Then draft a short, friendly text inviting each one to book.
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