Build an AI-powered real estate assistant on WhatsApp using Strands Agents SDK and AWS End User Messaging
Messaging & Targeting Blog
This article demonstrates how to build an AI-powered real estate assistant on WhatsApp using Strands Agents SDK and AWS End User Messaging, enabling instant customer responses instead of delayed form submissions.
- Four specialized AI agents handle identity verification, credit scoring, fraud detection, and property valuation using Amazon Bedrock's Nova Lite model
- Strands Agents SDK orchestrates multi-agent pipelines with tool decorators for accessing external data sources like tax authorities and credit bureaus
- AWS End User Messaging Social integrates WhatsApp Business API; incoming messages route through Amazon SNS to Lambda webhook handlers
- Supervisor agent maintains conversation state in DynamoDB and sends interactive WhatsApp messages with buttons, lists, and location cards
- Demo implementation uses India-specific tools: PAN validation, CIBIL credit scores, RERA registration, and bank loan offers with EMI calculations
- Solution deploys serverlessly on Lambda with official Strands Agents Lambda Layer; full pipeline runs in under 10 seconds
- Architecture pattern applies to banking, insurance, healthcare, and ecommerce workflows beyond real estate
The multi-agent architecture enables complex business workflows to be decomposed into focused AI agents that collaborate to deliver instant results directly within WhatsApp.
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