image will be soon

Easy Legislation Changes Monitoring

Machine Learning based application for documents processing

Solution for legislation changes monitoring

Project ROI

After 6 months from release, we usually ask customers about the financial results of a project to make sure we did our job well


Project timeline

Andersen team has spent more than 600 hours every week on the development of this solution

2 weeks ahead of schedule

Application speed optimization

The application is able to process a document of 500 pages within 2 minutes, while a person would spend no less than a week.

5 seconds page processing

About the project

Due to constant changes in legislation, investment funds and other financial market players incur tremendous expenses from monitoring these changes, in order to comply with all the required regulations. Lately, these kinds of expenses have increased by 45 times as it is normally based on ‘hand labor’. In order to find a software solution to this problem, the customer contacted us, and a team of experts from Andersen.




31 months

Team size

15 developers

Tech stack

Machine Learning, Scala, C#, WC, WPF, MSSQL, ASP.NET, XAML

Delivered Solution

Together with the customer, Andersen’s team has developed an application to solve the problems of assets management, investments, and investment risks and to meet all customer’s requirements.

Andersen’s team provided all the possible conditions for successful risk management by virtue of numerous modules, including the reorganization of data into clear algorithms and convenient formulas. The architecture of the app turned out to be flexible and configurable for new clients with personal requirements.

The implemented technologies facilitate the process of monitoring changes in legislation and help saving millions of US dollars.

Project Results

The software solution developed by Andersen’s team automates processing of all incoming documents, analyzing pages at high speed. This is achieved with the help of Artificial Intelligence and Machine Learning components implemented in the application. As a result, the customer can save a big part of the budget which would otherwise have been used to run numerous departments. Besides, the application significantly declined the share of toxic assets.



Speed optimization rate



Satisfaction rate



Toxic assets share

Client’s feedback

SMB, enterprise and startup clients return to us because they’re happy with our work. Here’s what they say about Andersen.
John Specter
Heloïse Pinette Public relations expert at BNP Paribas

Experts from Andersen showed incredible dedication and creativity while helping us to solve the challenge. We discussed what was expected from the product with Business Analysts, and the result didn’t disappoint us: the solution includes all the necessary modules and functionality to cope with banking regulatory documents analysis effectively.