Speaks their language
Replies in whatever language the customer writes in — including Arabic and Roman Urdu.



IDEAXProject Delivery Blueprint · AI Agent & n8n Automation

Scope Description
Tech Stack
The Challenge
Property enquiries arrive at all hours and in many languages, and brokers lose hot buyers while they're busy with viewings. The brief: an assistant that answers instantly like a real consultant, never invents a property or price, captures every detail a broker needs — and flags serious buyers the moment they appear.
Workflow
Two n8n workflows work together: the AI agent that talks to customers, and an alert workflow that watches for hot leads.
A buyer or tenant messages the brokerage. Sara replies in the same language — English, Arabic, Urdu, Hindi or Roman Urdu — in short, WhatsApp-style messages.
Sara naturally collects purpose (buy or rent), preferred areas, property type and bedrooms, budget in AED, timeline, cash or mortgage, and the customer's name and WhatsApp number.
Whenever the customer asks about properties, prices or areas, Sara searches the brokerage's live listings sheet and shows at most the 3 best matches — title, area, bedrooms, price and key features.
As soon as name, phone, purpose, area and budget are known, the lead is written to the leads sheet with a timestamp, a one-line summary and a score: Hot (moving within a month and budget matches), Warm (1–3 months) or Cold (browsing).
A second workflow checks the leads sheet every minute. When a new row is scored Hot, it sends the broker a branded email with every detail — name, phone, area, bedrooms, budget, timeline, payment and notes.
Sara thanks the customer, sums up what they're looking for and lets them know a broker will be in touch shortly to confirm a viewing.
Core Modules
Replies in whatever language the customer writes in — including Arabic and Roman Urdu.
Short, warm messages; uses the customer's name; never pushy, never more than two questions at once.
Recommends only properties that exist in the brokerage's sheet — no invented prices, discounts or availability.
Every lead is tagged Hot, Warm or Cold from timeline and budget, so brokers know who to call first.
A branded email with the full lead card reaches the broker within a minute.
Never promises viewing times; hands legal, visa, mortgage and complaint questions to a human broker.
Each lead lands in Google Sheets with timestamp, language, requirements and a one-line summary.
Answers enquiries at 3 am as well as 3 pm, with automatic retries if the AI model is busy.
Architecture
n8n
Google Sheets
n8n
Data model
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