Rocket’s web and mobile app brings together home search, financing, and servicing in one seamless experience. By combining data analytics and their 11PB of data with advanced automation, Rocket speeds up everything from loan approval to servicing, while maintaining a personalized touch at scale. Rocket’s client-first approach is central to everything they do. With customizable digital tools and expert guidance from skilled mortgage bankers, Rocket aims to match every client with the right product and the right support quickly, accurately, and securely. Rocket AI Agent is a conversational AI assistant designed to transform how clients engage with Rocket’s digital properties. Built on Amazon Bedrock Agents, the Rocket AI Agent combines deep domain knowledge, personalized guidance, and the ability to perform meaningful actions on behalf of clients. Since its launch, it has become a central part of Rocket’s client experience. Clients who interact with Rocket AI Agent are three times more likely to close a loan compared to those who don’t. Because it’s embedded directly into Rocket’s web and mobile services, it delivers support exactly when and where clients need it. With built-in integrations and security, customers like Rocket use Amazon Bedrock Agents to accelerate from proof-of-concept to production securely and reliably. These agents extend foundation models (FMs) using the Reasoning and acting (ReAct) framework, allowing them to interpret user intent, plan and execute tasks, and integrate seamlessly with enterprise data and APIs much like a skilled digital assistant. Agents use the FM to analyze a user’s request, break it into actionable steps, retrieve relevant data, and trigger downstream APIs to complete tasks. This allows Rocket AI Agent to move beyond passive support into proactive assistance, helping clients navigate complex financial processes in real time.Key capabilities of Amazon Bedrock Agents used in Rocket AI Agent include:
- Agent instructions – Set the agent’s objective and role (for example, a mortgage servicing expert), enabling goal-oriented behavior
- Amazon Bedrock Knowledge Bases – Provide fast, accurate retrieval of information from Rocket’s Learning Center and other proprietary documents
- Action group – Define secure operations—such as submitting leads or scheduling payments—that the agent can execute by interacting with Rocket’s backend services
- Agent memory – Memory retention allows Rocket AI Agent to maintain contextual awareness across multiple turns, enhancing user experience with more natural, personalized interactions.
- Amazon Bedrock Guardrails – Supports Rocket’s responsible AI goals by making sure that the agent stays within appropriate topic boundaries.