Case Study

Improving Accuracy and Speed in Mortgage Title Reporting With Agentic AI

Industry

Banking and Financial Services | Mortgage

Location

USA

Our Contributions

Business Process Solutions | AI

Coforge implemented an AI-based solution to extract mortgage title data from unstructured documents and ingest it into our SmartProp agentic workflow platform to reduce processing time, improve accuracy and reduce cost.

The Challenge

The client was creating title reports manually, which required as much as 25 minutes of processing for each document included in the report. Establishing a clear chain of title can require analyzing dozens of public documents for each loan, making the process slow and cumbersome.

Manually extracting data and typing it into the report introduced errors and re-work, and made it difficult to scale the process during spikes in volume.

The client needed a way to increase speed and reduce errors in the process of generating title reports.

Our Approach

Coforge provided a comprehensive solution built on the SmartProp workflow platform, including an agentic AI-based data extraction and ingestion solution with intelligent reviews and human oversight.

Agentic Data Extraction

Specialized AI agents process public records, identify relevant data from unstructured documents, and ingest it into the SmartProp workflow platform.

Report Creation

Title reports were built using the LangGraph framework along with Microsoft OpenAI and MS Document Intelligence to interpret the data and autonomously populate it into the reports.

Report Review

The reports were validated through human in‑the‑loop (HITL) review, highlighting key fields and accelerating validation through assisted copy‑paste into the SmartProp platform.

Impact to Date

Up to 40%

reduction in processing time

Up to 87%

automation accuracy in title data extraction

Faster title report generation enabled by real-time data ingestion

Cost reduction for in-house development and maintenance