Real Estate Automation
AI Receptionist Platform
Scaling Edge helps to transform customer engagement with an AI-powered receptionist that manages calls, books appointments, and streamlines real estate operations.
About Company
A Real estate company is a Birmingham-based estate agency, part of the Scaling Edge group. They specialize in residential lettings, property sales, and management services. Their focus is on delivering responsive service and building strong client relationships.
Quick info
Industry
Real Estate, Property Management
Project Type
Company Project
Service Type
AI Receptionist, CRM Automation, Workflow Integration
Team Size
3 Member
Technology Stack
ElevenLabs, n8n, GoHighLevel, Google Sheets, Slack, Apex27, JavaScript
Project Requirements
The client needed an AI agent to handle inbound property inquiries 24/7.The system had to identify caller intent, route calls, and escalate emergencies.
It also needed to integrate with GoHighLevel CRM for pipeline creation and appointment booking. Call logs and insights had to be shared instantly with internal teams via Slack and Google Sheets.
Challenges for the client
High Inbound Call Volume
Agents spent too much time handling repetitive queries, reducing focus on qualified leads.
Slow Appointment Handling
Manual scheduling caused delays and missed opportunities.
Fragmented Data
Information from calls wasn’t always logged consistently in CRM or shared across teams.
Emergency Handling Gaps
Urgent requests lacked an efficient escalation system, risking poor customer experience.
Key Features we integrated
Smart Call Handling
The AI receptionist greets customers, detects intent, and answers property-related queries.
Appointment Booking
Checks calendars and books appointments directly in GoHighLevel CRM.
Emergency Escalation
Urgent or repeated requests are immediately escalated, ensuring staff intervention for prompt and effective resolution.
Seamless Data Sharing
Logs every call into Slack, Google Sheets, and CRM for real-time tracking.
Product Development Cycle
Development Methodology
We followed a straightforward Waterfall approach with clearly defined phases—requirement gathering, design, development, testing, and deployment.
Agile Approach
We used agile sprints to quickly adapt features like emergency detection, CRM sync, and multilingual support.
Parallel UAT
User acceptance testing was conducted alongside development to refine voice flows and customer interactions.
Rapid Prototyping
Voice scenarios were rapidly tested with ElevenLabs AI to ensure natural conversations and smooth escalation triggers.
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