After hours, big results: How Feldco books more appointments with Voice AI

Overview

Feldco Windows, Siding, Doors, and Roofing had a problem: after-hours calls were going to voicemail.

They’re one of the largest home improvement companies in the Midwest, with 200+ employees serving homeowners across the region. When someone calls at 7 PM or on a Saturday morning, they’re not browsing. They’re ready to book an estimate.

Before voice AI, those calls went unanswered until the next business day, if someone followed up at all. By then, many homeowners had already called someone else.

Within two months of launching Leaping AI’s voice agent, Feldco started booking double-digit extra appointments just from after-hours calls. Same number. Same leads. Just answering the phone when it rang.

The business context

Feldco has been in business since 1976. They handle windows, siding, doors, and roofing across Illinois, Indiana, Wisconsin, and Missouri. The company runs a serious operation with dedicated sales teams, installation crews, and customer service.

Their business model works because they convert homeowners who are ready to move forward. Most people calling Feldco have already decided they need new windows or a roof replacement. They're comparing options and booking estimates.

Timing matters in this business. When a homeowner calls at 6 PM after getting home from work, they're in decision mode. They've been thinking about the project all day. They're ready to schedule someone to come out.

If that call goes to voicemail, you lose them. They call the next company. That company answers. That company gets the appointment. By the time you call back the next morning, they've already booked two other estimates.

Feldco knew they were losing opportunities outside business hours. The question was how to fix it without staffing a full call center 24/7.

The challenge

After-hours coverage creates problems for home improvement companies.

• Staffing costs add up fast: Paying people to answer phones from 6 PM to 9 PM and on weekends means overtime or part-time staff. For the volume of calls Feldco gets after hours, the math doesn't work. They would be paying someone to sit there between calls.
• Quality varies with availability: Even if you staff after-hours, you're probably not staffing your best people. The person answering at 8 PM on Friday might be less experienced, less familiar with the scheduling system, or just tired from working all day.
• Voicemail doesn't work: Homeowners calling about $15,000 window replacements don't leave voicemails. They call the next company. Even when they do leave messages, callback rates are terrible. By morning, they're already talking to competitors.
• Peak times are unpredictable: Some evenings bring in three calls. Other nights, none. Some Saturdays are packed. Others are slow. When call volume is unpredictable, you either pay staff to sit and wait or risk missing calls when things suddenly get busy.

Feldco needed a way to answer every after-hours call with consistent quality, without the cost and complexity of round-the-clock human staffing.

The solution: Voice AI by Leaping AI

Feldco deployed Leaping AI's voice agents to handle calls outside normal business hours. The system works like a virtual team member who never goes home.

When homeowners call after 5 PM or on weekends, the voice AI answers. It has natural conversations about their project. It checks Feldco's calendar. It books appointments. It sends confirmation texts. Everything a receptionist would do, but automated.

This approach solved Feldco's specific problem:

• Every after-hours call gets answered immediately.
• Homeowners talk to someone who sounds professional and helpful.
• Appointments get scheduled in Feldco's actual calendar system.
• The sales team shows up to qualified estimates without manual coordination.
• No staffing costs or scheduling complexity for evening and weekend coverage.

Voicebot Implementation approach

Feldco and Leaping AI got the system running in about two months.

1. Defined the scope clearly: The AI only handled calls that came in after business hours. Business hours stayed with Feldco's existing team. This focused approach meant faster deployment and easier testing.

2. Worked closely with the call center team: Leaping AI coordinated directly with Feldco’s call center team to align on processes, call handling expectations, and handoff structure. This made the transition smooth without disrupting their existing workflow.

3. Trained on Feldco specifics: The voice AI learned Feldco's service areas, what they offer, typical project types, and how the estimate process works. This knowledge makes conversations feel authentic rather than generic.

4. Set up call routing: After business hours, calls automatically route to the voice AI. During business hours, they go to the human team as usual. Simple switch based on time of day.

5. Tested with real scenarios: Feldco ran test calls covering different project types and customer situations. Made sure the AI handled them correctly before going live.

6. Launched and monitored: Once live, the teams reviewed actual calls to see what worked and what needed adjustment. Small refinements happened quickly based on real feedback.

They kept the rollout simple on purpose. Feldco focused on one clear priority first: handling after-hours calls. They made sure that it was running smoothly and booking appointments consistently before exploring anything else.

Results of Voice AI Implementation after two months

After the voice AI had handled Feldco's after-hours calls for approximately two months, this is what they saw:

• Double-digit additional appointments booked: Feldco is scheduling significantly more estimates from evening and weekend calls than when those calls went to voicemail.
• Every after-hours call answered: 100% coverage outside business hours. No missed calls. No voicemail. No "we'll call you back tomorrow."
• Consistent appointment quality: Sales team reports that AI-booked appointments show up just as qualified as human-booked ones. Homeowners are serious buyers who schedule because they're ready to move forward.
• Zero staffing cost increase: Feldco didn’t hire new reps. They didn’t add evening shifts or pay overtime. The voice AI simply answers the calls and books the appointments.
• Maintained customer experience. Homeowners who talk to the AI report the same satisfaction as those who talk to human staff. Conversations feel natural and helpful.

These results matter because the revenue that was already within reach was slipping away.

Feldco was paying for the marketing that drove those calls. The demand was there. They simply were not answering after hours. Now they are, and those calls turn into booked appointments instead of missed opportunities.

What made it work

A few things came together to make this project successful:

1. Clear, narrow focus: Feldco didn't try to automate the entire call center. They picked one specific problem, which was after-hours calls, and solved it completely. This focused approach meant faster results and easier measurement.
2. Understanding the use case: After-hours appointment scheduling is perfect for voice AI. The conversation follows a predictable pattern. The outcome is clear. The requirements are straightforward. Leaping AI's platform was built for exactly this kind of scenario.
3. Realistic expectations: Nobody expected 100% autonomous resolution. Some calls still need human follow-up. Some situations require judgment calls. That's fine. The AI handles what it can handle and routes the rest appropriately.
4. Fast deployment: Two months from start to live calls meant the project had momentum. Problems got fixed while the context was fresh. The team stayed engaged throughout.

What's next for Feldco

The current after-hours success opens up new possibilities.

Some calls during business hours are routine enough that voice AI could handle them too. Rescheduling appointments. Answering basic questions about services. Following up on estimates. These tasks take time away from Feldco's team but don't require complex judgment.

The platform can also help during peak periods when call volume spikes. Weather events, seasonal demand shifts, or strong marketing campaigns can overwhelm a human staff. This is especially common for roofing companies using AI to manage call surges during storm season, when inbound volume can spike overnight.

Feldco might expand voice AI to other parts of its customer journey. Follow-up calls after estimates. Appointment reminders. Post-installation check-ins. These touchpoints improve customer experience but consume staff time when done manually.

Starting small makes expansion simple. Once the system proves it works, the hard part is done.

The setup is already in place. The integrations are working. Adding new use cases becomes a matter of adjusting settings, not starting from scratch.

About Leaping AI

Leaping AI provides the best voice AI for home service businesses like Feldco. The platform handles real conversations with homeowners, integrates with scheduling and CRM systems, and works 24/7 without breaks.

Companies in window and door replacement, roofing, HVAC, plumbing, and general contracting use Leaping AI to capture more leads, schedule more appointments, and operate more efficiently. The technology works particularly well for after-hours coverage, high-volume periods, and routine appointment scheduling.

The platform maintains high conversation quality while handling unlimited call volume. Homeowners have natural interactions. Contractors book more appointments. Sales teams focus on estimates and closings rather than phone coverage.

See how voice AI works for home improvement businesses

Want to see how voice AI can capture appointments your team currently misses? Most home improvement companies already have the demand. The phone is ringing from paid ads, referrals, and repeat customers. What often holds growth back is how quickly calls are answered and whether someone is available when homeowners reach out.

Voice AI answers every call, books qualified estimates, and keeps your pipeline moving without adding headcount.