Lendi Group, a leading Australian fintech firm, has fundamentally redesigned the home loan experience by deploying an AI-powered companion named Guardian. Developed in just sixteen weeks using Amazon Bedrock, the system addresses the traditional information gap that leaves many homeowners unaware of better mortgage rates. By continuously monitoring property values and loan competitiveness, Guardian provides real-time alerts through its Rate Radar feature, allowing users to initiate refinancing almost instantly through a single-tap interface.

The architecture utilizes a multi-agent orchestration system where specialized digital assistants collaborate on specific tasks. One agent focuses on natural conversation to collect financial details, while another analyzes thousands of products to find the best lender match. This modular design, supported by the Agno open-source framework, ensures that each agent is optimized for its specific role, whether it is professional engagement or complex data validation. This separation of concerns allows the system to remain robust while handling sensitive financial data and regulatory compliance requirements.

Beyond mere automation, the solution incorporates Linda, an engagement agent that operates across SMS and WhatsApp to re-invite customers whose progress has stalled. By integrating human-like persistence with real-time data from internal systems, Lendi has managed to settle millions in loans with significantly faster cycle times than traditional methods. The project demonstrates how agentic AI—systems capable of planning and executing multi-step tasks—can bridge the gap between digital convenience and the personalized service typically provided by human brokers.

Lendi Group, a leading Australian fintech firm, has fundamentally redesigned the home loan experience by deploying an AI-powered companion named Guardian. Developed in just sixteen weeks using Amazon Bedrock, the system addresses the traditional information gap that leaves many homeowners unaware of better mortgage rates. By continuously monitoring property values and loan competitiveness, Guardian provides real-time alerts through its Rate Radar feature, allowing users to initiate refinancing almost instantly through a single-tap interface.

The architecture utilizes a multi-agent orchestration system where specialized digital assistants collaborate on specific tasks. One agent focuses on natural conversation to collect financial details, while another analyzes thousands of products to find the best lender match. This modular design, supported by the Agno open-source framework, ensures that each agent is optimized for its specific role, whether it is professional engagement or complex data validation. This separation of concerns allows the system to remain robust while handling sensitive financial data and regulatory compliance requirements.

Beyond mere automation, the solution incorporates Linda, an engagement agent that operates across SMS and WhatsApp to re-invite customers whose progress has stalled. By integrating human-like persistence with real-time data from internal systems, Lendi has managed to settle millions in loans with significantly faster cycle times than traditional methods. The project demonstrates how agentic AI—systems capable of planning and executing multi-step tasks—can bridge the gap between digital convenience and the personalized service typically provided by human brokers.