The New Blueprint: AI-Driven Mortgage Engagement
About The Client
Real estate tech and brokerage powering AI-driven engagement for lenders, agents, and customers nationwide.
The Challenge
With legacy services, inconsistent architecture, and outdated UX, the client's mortgage engagement platform was slowing growth and eroding efficiency. Scaling new features, integrating partner systems, and maintaining performance had become increasingly costly and complex.
The Solution
The engagement focused on delivering a complete architectural transformation alongside targeted feature development to support scale, integration, and innovation. We:
- Introduced a hexagonal, Domain-Driven architecture with a unified domain language
- Structured the app into separate workspaces for modular ownership
- Migrated essential services from Lua to Golang
- Launched an autonomous coding agent for accelerated engineering output
- Built the Loan Officer Copilot application
- Enhanced UI/UX and optimized key features, including Chase Bank's map and search
- Conducted deep technical research to propose adaptable solutions for new and evolving use cases
The Result
Architectural improvements unlocked measurable performance gains and set the stage for sustained growth.
- Accelerated delivery cycles with scalable architecture
- Standardized and centralized core logic, configuration, and styling
- Simplified platform management for long-term maintainability
- Enhanced performance for loan and mortgage processes
- Reduced technical debt with a modular codebase
- Streamlined operational efficiency across departments
- Future-ready foundation for rapid feature and partner system integrations
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