Case Study — Customer Communication
Turning missed calls into booked jobs for a home-services company
The challenge
Calls during jobs and after hours went to voicemail. Prospects hung up and called the next company on the list.
What we built
An AI receptionist answers overflow and after-hours calls, captures job details and address, quotes standard call-out windows and books directly into the dispatch calendar. Complex calls are transferred to an on-call technician.
Technology
What's under the hood
Listing a tool here doesn't imply a partnership — we choose the stack for the job.
- AI Receptionist
- Twilio
- Make
- Airtable
- Google Calendar
Outcome
What changed
After-hours inquiries are now captured and scheduled instead of lost. The office team starts each morning with a populated job board.
More
Other patterns we've automated
AI Lead Automation
Speed-to-lead for a multi-agent real-estate team
- Challenge
- Portal and paid-ad leads arrived faster than agents could call them. Many went cold before a first conversation, and follow-up was inconsistent.
- Outcome
- Every inbound lead now receives an immediate call and a structured follow-up sequence. Agents start their day with booked appointments instead of a list to dial.
- AI Calling Agent
- GoHighLevel
- Twilio
- Google Calendar
Workflow Automation
Automated onboarding and CRM hygiene for a B2B SaaS
- Challenge
- New trial signups triggered a chain of manual steps: account setup, CRM records, welcome sequences and internal handoffs — each a chance to drop a customer.
- Outcome
- Onboarding runs the same way every time, sales sees high-fit trials immediately, and CRM data stays clean without manual upkeep.
- n8n
- Custom API
- Stripe
- HubSpot-compatible CRM
Next step
Want a result like this for your business?
Tell us about the process you want to improve. We'll come back with an approach, a timeline and a cost — no obligation.