Case studies

AUTOMATON – DBM (Dynamic Bot Manager)

Year of implementation
2023
Industry
Financial Services & Insurance

One of the leading Italian banks with a widespread presence and over 1,600 branches, offering services to businesses and families.

Gamma Innovation developed a digital platform for the automation of banking processes, designed to manage a high number of processes and daily schedules. The solution was built with a microservices architecture, integrating a Web Application for real-time monitoring and coordination of the BOTs through an internal BPM. This approach allows for process optimization, improved flow control, and ensures the efficiency of the bank’s daily operations.

Approach and methodology

The project involved the development of an advanced platform for banking process automation, carried out in Agile mode and based on a microservices architecture using Java and Springboot. The platform integrates a Web Application that unifies the functionalities of the various Control Rooms, providing real-time monitoring of BOT activities and centralized management of operational flows. Thanks to the internal BPM, the system automatically coordinates BOT activities, ensuring process continuity and reducing errors. The modular and scalable approach allows the platform to easily adapt to the bank’s needs, optimizing process management and improving the overall efficiency of daily operations.

The project was developed in Agile mode, featuring a microservices platform based on Java and Springboot, equipped with a Web Application for integrating the functionalities provided by the various types of Control Rooms and for real-time monitoring of BOT activities. The platform includes an internal BPM for BOT coordination.

Staff involved in the project
6 Specialists
Execution time
4 Months
Technologies used
  • Automation Anywhere
  • Blue Prism integration
  • Hazelcast
  • Java
  • JavaScript
  • PostgreSQL
  • Spring Boot
  • UiPath integration
27
%
Control of the operational status of the BOT
42
%
Processing time optimization
38
%
Improvement in service quality

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