How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock
AWS Eric Hanson ● Covered by 3 sources
LendingTree deployed a multi-agent AI mortgage assistant on Amazon Bedrock to help borrowers understand loan options and find matching offers through natural conversation. The system handled approximately 1,960 conversations and 12,100 messages from late 2025 through Q1 2026, with engaged users averaging 10+ messages over 9 minutes, and achieved 97% containment without human escalation. The architecture enables independent scaling of three agents (Supervisor, Education worker, Matching worker) while maintaining conversation context and regulatory compliance through built-in guardrails and PII protection.
Why it matters
Learn how LendingTree built a production multi-agent mortgage assistant on Amazon Bedrock. Three coordinated agents use LangGraph, the Model Context Protocol, and Amazon Nova models with built-in guardrails to deliver 24/7 personalized mortgage guidance while meeting strict financial-services compliance.