Case Studies
See how real businesses are using Nonstop Automation to transform their operations, increase efficiency, and drive revenue growth.
North Woods Roofing
A roofing company needed to proactively reach out to existing customers to identify new service opportunities and maintain relationships.
The Challenge
Manual follow-up calls were time-consuming and inconsistent. The team couldn't keep up with checking in on past customers, leading to missed opportunities.
Our Solution
Implemented AI-powered outbound calling to proactively contact existing customers, check on their roofing needs, and schedule inspections when appropriate.
Real Call Example
Scenario:
Outbound: AI calls customer to check in on their roofing needs
Result:
Inspection set to evaluate her roof
Home Sales Company
A real estate company needed to efficiently gather information from potential home sellers and set high-value listing appointments.
The Challenge
Initial phone conversations with potential sellers were lengthy and required multiple touchpoints. Sales team was spending too much time on qualification calls.
Our Solution
AI handles initial qualification calls, gathering complete listing information including price expectations, property details, and owner information before scheduling in-home appointments.
Real Call Example
Scenario:
Outbound: AI calls about home the customer wants to sell
Result:
In-home appointment set for high-value home sale
Paramount Roofing
A roofing company needed to handle inbound customer service calls efficiently, especially for estimate follow-ups and document requests.
The Challenge
Customer service team was overwhelmed with calls about estimates and receipts. Simple requests were taking up valuable time that could be spent on sales.
Our Solution
AI handles inbound customer service calls, providing estimate information, sending email receipts, and confirming delivery - all without human intervention.
Real Call Example
Scenario:
Inbound: Customer calls about estimate follow-up and email receipt
Result:
Estimate sent and email receipt confirmed
Sub-Zero Heating and Air Conditioning
An HVAC company needed a way to handle calls when the owner was unavailable, ensuring no messages were missed and callback requests were automatically created.
The Challenge
When customers called looking for the owner, calls would go unanswered or messages would be lost. The owner had to be constantly available to take calls, limiting flexibility and work-life balance.
Our Solution
AI assistant takes calls when the owner is unavailable, captures complete messages, and automatically creates callback requests in the system - all without the owner needing to answer the phone.
Real Call Example
Scenario:
Inbound: Customer calls looking for owner, AI takes message
Result:
Message captured and callback request created automatically
More conversations
Additional Call Example
Another example of AI handling calls and creating callback requests automatically
Scenario:
Inbound: Customer calls, AI takes message and creates callback
Result:
Callback request automatically created in system
Covenant Heating and Air
An HVAC company needed to handle customer service calls efficiently, especially for service requests, scheduling, and customer inquiries when staff were unavailable.
The Challenge
The company struggled to answer all customer calls, especially during peak seasons or after hours. Customers were left waiting or had to call back multiple times, leading to frustration and potential lost business.
Our Solution
Implemented AI-powered call handling to answer customer calls 24/7, handle service requests, schedule appointments, and provide information about services - ensuring no customer call goes unanswered.
Real Call Example
Scenario:
Inbound: Customer calls for HVAC service request
Result:
Service request handled and appointment scheduled
Vitl Solar
A solar installation company needed to streamline their lead qualification process and improve conversion rates from initial inquiries to scheduled consultations.
The Challenge
The sales team was spending too much time on unqualified leads and basic information gathering. Many potential customers weren't ready for consultations, leading to wasted appointments and low conversion rates. One customer required 17 touchpoints before finally calling back.
Our Solution
Implemented AI-powered lead qualification to handle initial inquiries, gather essential information, qualify prospects based on specific criteria, and schedule consultations only with qualified leads. After 17 automated touchpoints, the customer called back, spoke with the AI agent, and successfully scheduled an appointment.
Real Call Example
Scenario:
Inbound: Customer calls about solar installation inquiry
Result:
Qualified lead scheduled for consultation
More conversations
AI follows up with customer
AI keeps the conversation moving and answers questions
Scenario:
Inbound: Customer asks additional questions about the process
Result:
Customer reassured and moved forward in the pipeline
AI finalizes appointment
AI confirms last details and converts the lead
Scenario:
Inbound: Customer is ready to schedule the site visit
Result:
Appointment scheduled and confirmed
Lake Erie Roofing And Construction
A roofing company needed to handle inbound calls efficiently, schedule roof inspections, and automate follow-up communications to ensure customers receive timely information and appointment reminders.
The Challenge
The team needed to be available 24/7 to answer customer calls about roof inspections, especially for storm damage assessments. Manual appointment scheduling and follow-up communications were time-consuming, and customers sometimes missed appointments due to lack of reminders.
Our Solution
Implemented AI-powered inbound call handling to answer customer inquiries, schedule roof inspection appointments directly into the CRM, and automatically send confirmation emails with company information. The system also sends automated reminder messages to reduce no-shows and ensure customers are well-informed about the company's services.
Real Call Example
Scenario:
Inbound: Customer calls to schedule a roof inspection appointment
Result:
Appointment scheduled for November 24, 2025 at 8:00 AM with automated follow-up emails sent
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