AI & Automation for Real Estate
Portal leads from 99acres, MagicBricks, or Zillow sit in an inbox or spreadsheet for hours before anyone calls back, and by then half of them have already messaged three other agents. Production automation for leads, documents, CRM, WhatsApp, data collection, knowledge, and supervised AI workflows.
What usually goes wrong
in real estate
Portal leads from 99acres, MagicBricks, or Zillow sit in an inbox or spreadsheet for hours before anyone calls back, and by then half of them have already messaged three other agents.
What this kind of build needs
Two-way sync between the property portal/CRM (e.g. Zoho, HubSpot, or a custom sheet) and WhatsApp so a new inquiry triggers an instant automated reply and gets routed to the right agent based on budget and location.
A lead form fills out on the website or portal, an automation qualifies it by budget and locality, sends the buyer a WhatsApp message with matching listings within a minute, and drops a scored, tagged card into the agent's CRM pipeline for follow-up.
Useful AI automation is a controlled system, not a chatbot demo. It needs defined triggers, trusted data, retrieval, tool permissions, validation, approval points, logs, fallbacks, monitoring, and…
AI & Automation included
Capture, validate, enrich, score, route, and follow up enquiries across forms, ads, CRM, email, and WhatsApp.
Prepare documents, retrieve evidence, cite sources, evaluate answers, and protect sensitive knowledge.
Narrow agents that use approved tools, call APIs, update records, and request approval.
Official API integrations for templates, reminders, qualification, consent, and handover.
How a project runs
Discovery
Clarify the goal, users, constraints, current systems, success measures, and delivery risks.
Architecture
Choose the right structure, integrations, data model, security boundaries, and technology stack.
Design
Map important journeys and responsive states before expensive decisions are locked in.
Development
Build in reviewable milestones with clean code, documented decisions, and visible progress.
Testing & Launch
Validate functionality, performance, accessibility, security, and production readiness.
Support & Improvement
Monitor real use, resolve issues, and prioritize improvements using evidence.
Questions I get from this sector
Do you have experience with real estate projects?
A lead form fills out on the website or portal, an automation qualifies it by budget and locality, sends the buyer a WhatsApp message with matching listings within a minute, and drops a scored, tagged card into the agent's CRM pipeline for follow-up. That is the shape of work this page describes — ai & automation scoped around how a real estate business actually operates.
What does real estate ai & automation usually cost?
A focused build commonly lands between ₹50K and ₹4L depending on scope, integrations and content volume. You get a fixed quote after a short scoping call, not an hourly meter.
What automations can you build?
Lead workflows, retrieval, agentic tasks, WhatsApp CRM, scraping, classification, reporting, and integrations.
How is an agent different from a chatbot?
A chatbot mainly answers. An agent can retrieve context, use tools, call APIs, update systems, and pause for approval.
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Real Estate project in mind?
Tell me what the business needs to do better online. You get a plan, a quote and a realistic timeline — from the person doing the work.