What challenges did Rocket Mortgage face before AI implementation?

Customers had home buying and servicing questions across web and mobile channels, and the demand was overwhelming human support outside business hours. Rocket needed trusted guidance that was available 24/7 and could reduce transfers to support teams while still handling complex mortgage workflows.

Source

Evidence: Low35/100

Rocket Mortgage: Rocket AI Agent built with Amazon Bedrock Agents to automate mortgage origination and servicing support

Use case typeAutomotive operations automationUpdated Jun 13, 2026

Rocket Mortgage built Rocket AI Agent, a conversational assistant embedded in its web and mobile experiences to help clients with mortgage origination and servicing. The solution uses Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails, and it can retrieve answers from Rocket's learning center and proprietary documents, invoke backend APIs for actions, and escalate to human bankers when needed.

Organization: Rocket Mortgage
Industry: Finance
Location: United States
Published: July 2025

Reported outcomes

Automation: −85%

Automation & deflection

Automation: −45%

Catalog median for automation & deflection deployments: −50% across 23 reported metrics. Compare benchmarks →

Planned next steps

The source says the organization aims to achieve: Provided trusted 24/7 mortgage guidance.

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 85% decrease

AWS Machine Learning BlogJul 10, 2025Blog postInferred claimLow evidence strength

Rocket saw an 85% decrease in transfers to customer care and a 45% decrease in transfers to servicing specialists via chat containment.

Normalized claim

Quantified impact: 45% decrease

AWS Machine Learning BlogJul 10, 2025Blog postInferred claimLow evidence strength

Rocket saw an 85% decrease in transfers to customer care and a 45% decrease in transfers to servicing specialists via chat containment.

Normalized claim

Quantified impact: 68%

AWS Machine Learning BlogJul 10, 2025Blog postInferred claimLow evidence strength

The company reported 68% CSAT across servicing and origination chat interactions.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Rocket Mortgage
Provider: AWS
Maturity: Unknown
Linked source: AWS Machine Learning Blog

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1Conversational AI
2Agentic Workflow Automation
3Customer Service

Rocket built a conversational AI agent on Amazon Bedrock Agents.
The architecture uses Amazon Bedrock Knowledge Bases for retrieval, Amazon Bedrock Guardrails for safe responses, and a unified agent API routing users to domain-specific agents.
The agent uses contextual signals like the page a client is on, can fill preapproval forms or schedule payments, and can escalate to mortgage bankers.

Technologies

Amazon Bedrock Agents Amazon Bedrock Knowledge Bases Amazon Bedrock Guardrails

Architecture

Rocket deployed Rocket AI Agent across its web and mobile experiences, with a unified AI Agent API routing chats to a growing set of domain-specific Amazon Bedrock agents. The agent uses Amazon Bedrock Knowledge Bases for retrieval from Rocket's learning center and proprietary documents, Amazon Bedrock Guardrails for topic boundaries, and backend API actions for tasks such as form filling and payment scheduling. The solution also uses context like the page a client is viewing and supports escalation to human mortgage bankers.

Sources & evidence1

Evidence: Low35/100Evidence strength