Automation Examples.
Illustrative Demos.

The Challenge

A 14-truck HVAC company in Texas was losing after-hours and weekend inquiries to voicemail. Technicians were on call, but nobody answered the phone, and by 9am the next morning, homeowners had already booked a competitor. Internal tracking showed 62% of missed calls never converted.

The Solution

We deployed a three-part system: instant AI SMS response on every missed call, a 24/7 AI phone line that qualifies urgency (no heat, AC failure, repair vs. replacement), and automated booking links pushed straight into their calendar.

Implementation

• Week 1, AI Missed-Call Text-Back live on their existing number
• Week 1, AI chat on website + Google Business Profile
• Week 2, Calendar sync so qualified leads self-book service windows
• Week 3, Follow-up engine for unanswered quotes

The Results

Within 30 days the company recovered $47,000 in booked jobs that would previously have gone to voicemail, bookings rose 47%, and missed-call bleed dropped 62%. The office manager reports the phone now rings with pre-qualified customers instead of voicemail dumps.

Implementation Timeline

The Challenge

Lakeside Dental was losing roughly a third of new-patient calls to voicemail during lunch hours and weekends. Worse, 14% of booked appointments ended in no-shows, each one costing chair time and revenue that never came back.

The Solution

We built an AI receptionist that answers every call, answers insurance and pricing questions, and books directly into their practice calendar. A second AI layer sends smart reminders and instantly re-books patients who cancel.

Implementation

• Week 1, Call-flow mapping with the front desk
• Week 1, AI phone + website chat live
• Week 2, Practice-management calendar sync
• Week 3, No-show recovery texts + rebooking links

The Results

No-shows dropped 62% within 60 days, new-patient volume rose 38%, and the front desk reclaimed 11 hours a week. The clinic now runs on 100% booked slots for hygiene appointments two weeks out.

Implementation Timeline

The Challenge

Summit Realty was buying leads from three portals but agents responded in hours, not seconds. By the time someone called back, the buyer had already talked to two other agents. Their CRM showed 78% of leads were never followed up more than once.

The Solution

We wired an AI lead engine into every portal: instant text + chat response, budget and timeline qualification, and automatic showing-booking that respects each agent’s territory and calendar.

Implementation

• Week 1, Portal lead ingestion wired up
• Week 2, AI qualification conversations live
• Week 3, Showing scheduler + agent routing
• Week 4, Follow-up cadence for cold leads

The Results

Average first-response time dropped from 3 hours to 23 seconds. Conversion rose 5.1x on the same ad spend, and the team closed $310K in commissions within the first 90 days. Cold leads now get 90 days of automatic nurture instead of silence.

Implementation Timeline

The Challenge

A personal-injury firm ran intake from 9-to-5 while their ideal clients, people in accidents, called at all hours. 40% of after-hours calls went unanswered, and every missed call was a case walking into a competitor’s office.

The Solution

We deployed an AI intake agent that answers 100% of calls instantly, screens for case type and urgency, captures key details, and books the consultation directly on the senior attorney’s calendar, with a text summary sent to the team.

Implementation

• Week 1, Intake script + legal disclaimers drafted
• Week 1, AI phone line live
• Week 2, Website chat + lead form AI
• Week 3, Calendar + case-management sync
• Week 4, Daily intake digest email

The Results

Intakes booked rose 52%, and the firm now captures after-hours cases they previously never saw. The senior attorney arrives each morning to a pre-screened calendar instead of a voicemail inbox.

Implementation Timeline

The Challenge

A DTC skincare brand was drowning in support tickets, shipping questions, tracking links, return policies, while $40K/month in abandoned carts sat untouched. Support cost was climbing faster than revenue.

The Solution

We installed an AI support agent trained on their entire policy library that resolves routine tickets instantly, and a cart-recovery engine that re-engages abandoners with personalized SMS within minutes of leaving.

Implementation

• Week 1, Knowledge base ingested + AI trained
• Week 2, AI support live on site + email
• Week 3, Cart-recovery SMS flows
• Week 4, Escalation routing to humans

The Results

Support volume dropped 74% while CSAT rose to 4.9 stars, the AI answers instantly at 2am, which customers love. Cart recovery added 19% in recovered revenue in the first full month.

Implementation Timeline

The Challenge

ProFix Plumbing ran on a single dispatcher. Emergency calls stacked up, quote requests waited up to two days, and customers booked whoever answered first. Growth was capped by phone time.

The Solution

We automated the entire front office: AI answers every call, provides instant ballpark quotes for standard jobs, and books the first available technician slot. Emergency calls are triaged and routed to the on-call plumber in seconds.

Implementation

• Week 1, Job + pricing catalog mapped
• Week 2, AI phone + text quoting live
• Week 3, Technician calendar sync
• Week 4, Emergency triage routing

The Results

Quote turnaround went from 2 days to under a minute, booked jobs rose 29%, and the owner reclaimed the cost of a dispatcher, about $9.8K per month. The dispatcher now handles exceptions, not every call.

Implementation Timeline