customer_support · finance · workflow
Rocket Companies streamlines home buying with Amazon Bedrock Agents
Home buying remains overwhelming for many clients, and Rocket needed to deliver the same trusted, expert guidance clients expect from its mortgage bankers at any hour and on any digital channel.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Client initiates chat
The client uses the chat function within Rocket's mobile app or web page to start an interaction.
Tools used
Amazon Bedrock Agents
Outcome
Since launching Rocket AI Agent, clients who interact with it are three times more likely to close a loan. Rocket saw an 85% decrease in transfers to customer care and a 45% decrease in transfers to servicing specialists, while 68% of clients gave high satisfaction ratings.
Results
Volumethree times more likely to close a loan
Grounding & classification
Source type: platform led case
29 fields verified against source quotes, 3 dropped as unverifiable.
agentic workflowai agentconversational aimulti agent workflowpersonalizationragknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedfinancial servicesreal estateconversion increasecustomer satisfactiondeflection rateemployee productivityplatform led casecustomer supportfinance opssales opsagentic task executionautonomous resolutionescalation workflow