03
Case 03RAGChat + VoiceBot Pro + OmniBot

REALESTATE

Voice + chat agents for property inquiries across every channel

RAGChatVoiceBot ProOmniBot
Systems:3
Journey Steps:7
Tech Components:8

The Problem

Agents miss buyer calls while showing properties

01

Phone calls from potential buyers go to voicemail during showings

02

Property details are scattered across listings, brochures, and internal notes

03

After-hours inquiries go cold — buyers move to competitors within hours

04

Managing inquiries across phone, WhatsApp, and website is disorganized and slow

The Solution

AI voice agent + multi-channel chat for property inquiries

An AI voice agent handles incoming calls, answers property questions from your listing documents, and identifies high-intent buyers. Chat bots on your website and WhatsApp handle text inquiries. Everything feeds into one inbox with lead scores.

System Capabilities

[01]AI voice agent answers property-related calls
[02]Document ingestion for property listings and brochures
[03]Multi-channel: phone, WhatsApp, website widget
[04]Lead scoring based on pricing and timeline signals
[05]Escalation rules for high-intent buyers
[06]Unified inbox for all inquiry channels

User Journey

Step-by-step flow from initial contact to resolution

01

Buyer calls after hours

VoiceBot Pro

Interested buyer calls the office number — AI voice agent picks up

02

Voice agent gathers intent

VoiceBot Pro

"I'm looking for a 3-bedroom in the downtown area under $500K"

03

Property KB searched

RAGChat

RAG retrieves matching property listings with accurate details from uploaded documents

04

Properties described to buyer

VoiceBot Pro

Voice agent describes available properties with real listing data — prices, features, availability

05

Buyer asks about pricing details

RAGChat

Lead score increases as buyer asks about mortgage options and viewing schedules

06

High-intent escalation triggers

VoiceBot Pro

Escalation rule fires — agent notified to follow up with this lead personally

07

Transcript sent to agent inbox

OmniBot

Full call transcript + lead score delivered to the real estate agent's unified inbox

Pipeline Complete — 7 Steps

System Architecture

How data flows through the system for this use case

system-architecture.flow
N01

Buyer

Phone, WhatsApp, or website

N02

Channel Layer

Vapi voice / OmniBot text

N03

RAG Pipeline

Property listing KB search

N04

LLM + Lead Scoring

Response generation + intent signals

N05

Agent Inbox

Transcripts + lead scores

//

Buyers reach out via phone, WhatsApp, or website. Voice calls go through Vapi for STT/TTS, text goes through OmniBot. Both feed into the same RAG pipeline searching property listing documents. Lead scoring tracks purchase intent signals across all channels.

Tech Stack

Technologies powering this solution

01Vapi SDK
02Twilio
03FastAPI
04Pinecone
05Groq / OpenAI
06WhatsApp API
07Lead Scoring
08PostgreSQL
Ready to Deploy

Deploy This Solution

Custom-built for your specific documents, workflows, and channels.

REAL ESTATE — Fenlo AI Use Cases | Fenlo AI