Back to projects

AI and R&D

E-Reconciliation Robot

An R&D initiative that automates document comparison and analysis with natural language processing approaches.

In this project, I developed a system using artificial intelligence and deep learning techniques for document comparison and analysis. The system utilized a transformer-based model (BERT) to detect differences and similarities in documents. This innovative solution automated reconciliation processes with natural language processing (NLP) methods, enhancing efficiency and recognized as an R&D initiative.

ContextInfina Software INC.
FocusDocument comparison and NLP
RoleAI development
E-Reconciliation Robot
Validation
Operation
Difference analysis

Overview

A system that intelligently captures differences between documents

The system was designed around a BERT-based model approach to analyze semantic similarities and differences in documents.

Natural language processing techniques reduced the need for manual comparison in reconciliation processes and positioned the solution as an R&D effort.

Outcomes

Technical and business outcomes

  • An AI-supported analysis flow was created for document comparison.
  • A foundation was built to reduce manual review needs in reconciliation operations.
  • A transformer-based approach enabled more meaning-oriented text similarity evaluation.