Overview
Mortgage credit assessment requires lenders to evaluate borrower information across multiple data sources, financial indicators and risk factors before an underwriting decision can be made. When these activities rely on disconnected data and manual analysis, they can slow the underwriting workflow and make credit decisions harder to reconcile and explain.
The Automated Underwriting Agent brings credit assessment and underwriting into a governed Agentic AI workflow. The AI agent combines multiple borrower data sources, performs financial calculations, evaluates credit risk and compensating factors, and generates an audit-ready underwriting memo with each conclusion connected to its supporting data. The workflow operates on a Sovereign AI Platform, providing governance, explainability and human oversight across the credit decision process.
Key Highlights
- Automates key stages of the mortgage underwriting workflow, including data normalization, credit and ratio analysis, risk assessment, underwriting memo generation and decision output.
- Combines traditional credit information, alternative payment data and cash-flow signals to support a broader credit risk assessment of the borrower.
- Applies AI agents for credit risk and underwriting while using deterministic logic for calculations such as DTI, LTV and DSCR to maintain transparency and auditability.
- Generates an explainable underwriting memo with risk justification, compensating factors and source traceability linking conclusions to the underlying borrower data.
- Targets underwriting memo generation in under 60 seconds across 10,000+ data points, while supporting audit-ready credit recommendations and broader credit visibility