Overview

Adamas partnered with Maureen Data Systems (MDS) to develop an AI-powered solution designed to make property analysis and loan origination faster, more consistent, and more efficient.

The solution uses AI to assist Adamas teams in evaluating property information, analyzing comparable properties, and organizing the information needed to support lending decisions.

Business Challenge

Property-based lending requires teams to review significant amounts of information when evaluating a potential transaction. This can include property characteristics, comparable properties, market information, and other relevant data used throughout the underwriting and loan origination process.

Much of this work traditionally required significant manual research and analysis, consuming valuable employee time and making it difficult to scale transaction volume without adding additional resources.

Solution

MDS worked with Adamas to develop an AI-enabled workflow that assists employees throughout the property analysis and loan origination process.

The solution helps aggregate and analyze relevant property information, evaluate comparable properties, and present findings in a structured format for review.

Rather than replacing Adamas’ existing lending and underwriting processes, AI acts as an intelligence layer that helps employees perform research and analysis more efficiently while maintaining appropriate human review and decision-making.

Business Impact

The completed solution is now being used to improve the efficiency of property analysis and loan origination at Adamas.

By reducing the amount of manual research required for each transaction, Adamas can evaluate opportunities more quickly and consistently while making more efficient use of internal resources.

The solution has helped:

Accelerate property and comparable-property analysis.
Reduce repetitive manual research and data review.
Improve consistency in how information is organized and evaluated.
Provide teams with better information to support lending decisions.
Increase operational capacity without requiring a proportional increase in internal resources.
Create a scalable foundation for additional AI-enabled workflows.

Outcome

The Adamas project demonstrates how AI can be incorporated into an existing financial-services workflow to deliver meaningful operational value while preserving established decision-making and oversight processes.

By automating portions of research and analysis while maintaining human oversight, Adamas has created a more scalable approach to property analysis and loan origination—allowing teams to work faster, increase operational capacity, and focus more of their time on higher-value activities.

Maureen Data Systems (MDS) is a Microsoft Security Solutions Partner with specializations in Threat Protection, Information Protection and Governance, and Identity and Access Management, and a member of the Microsoft Intelligent Security Association (MISA). Learn more at www.mdsny.com.