Discovery
Clarify the goal, users, constraints, current systems, success measures, and delivery risks.
Real Estate · Agents / RAG / Workflows
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.
(01)The problem
What usually goes wrongin 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.
(02)Non-negotiables
What this kind of build needs
Must haveTwo-way sync between the property portal/CRM (e.g. Zoho…
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.
In practiceA real example
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.
ApproachAI & Automation
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…
(03)Capabilities
AI & Automation included
AI Lead Automation
Capture, validate, enrich, score, route, and follow up enquiries across forms, ads, CRM, email, and WhatsApp.
RAG Knowledge Systems
Prepare documents, retrieve evidence, cite sources, evaluate answers, and protect sensitive knowledge.
AI Agent Development
Narrow agents that use approved tools, call APIs, update records, and request approval.
WhatsApp CRM Workflows
Official API integrations for templates, reminders, qualification, consent, and handover.
(04)Process
How a project runs
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.
(05)FAQ
Questions I get from this sector
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.
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.
Lead workflows, retrieval, agentic tasks, WhatsApp CRM, scraping, classification, reporting, and integrations.
A chatbot mainly answers. An agent can retrieve context, use tools, call APIs, update systems, and pause for approval.
(06)Keep exploring
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