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Hearthline

An AI front-desk and automation solution for home-service businesses that lose work to missed calls.
AI AutomationIn-house productIn development
hearthline.app

Interface illustration — [ADD REAL PROJECT SCREENSHOT]

Overview

Hearthline is an automation product from Rashid LLC aimed at home-service businesses — trades, maintenance and field service companies where the owner is on a job when the phone rings.

It answers and qualifies inbound enquiries, captures job details, and puts them into the business's booking process instead of leaving them on voicemail.

The challenge

For a home-service business, an unanswered enquiry is usually a lost job — the caller moves to the next result. But the people best placed to answer are the ones out doing the work.

Existing answering services are expensive and generic; they take a message without capturing the details needed to actually schedule and price a job.

The solution

A conversational intake flow that answers enquiries, asks the qualifying questions a dispatcher would ask, and records structured job details rather than free-form notes.

Qualified enquiries are routed into the business's existing scheduling and follow-up process, with the owner notified immediately for anything urgent.

Every conversation is transcribed and reviewable, so the business keeps oversight of what was said on its behalf.

Key features
  • Automated answering and qualification of inbound enquiries
  • Structured job intake — service type, location, urgency, contact details
  • Immediate notification and routing to the right person
  • Follow-up messaging for unconverted enquiries
  • Full transcripts and conversation history
  • Configurable business hours, services and escalation rules
Outcome
Awaiting verified results
  • [ADD REAL CASE STUDY OUTCOME — replace once results are measured]

We publish outcome figures only once they have been measured. Nothing on this page is estimated or projected.

Project details

Type
In-house product
Category
AI Automation
Status
In development

Technology

  • Python
  • Next.js
  • TypeScript
  • LLM APIs
  • Speech-to-text
  • Telephony APIs
  • PostgreSQL

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