AI Banking Infrastructure Monitoring

Enhancing banking with AI: Advanced data analytics for customer insights and predictive modelling, streamlined with efficient application monitoring.

Fintech

2021

Client and Industry

An award-winning fintech company from India, recognized as a global solution provider for digital banking, serves over 60 banks and financial institutions worldwide.

Industry

Fintech

Business Type

Enterprise/Start-up

Services

Development & Deployment

Our Role

We deployed AI/ML technologies to monitor and analyse banking applications and IT infrastructure, aiming to proactively detect and address operational bottlenecks, thereby optimizing overall system performance.

Project Goals

01

Create Monitoring Platform: Develop a comprehensive platform featuring custom dashboards for real-time log analysis, enhancing oversight of banking and finance applications.

02

Improve Detection and Resolution: Implement advanced alerting systems to ensure timely detection and effective resolution of performance issues in applications and IT infrastructure.

Business
Challenges

01.

The primary challenge involved integrating AI-driven monitoring within existing complex banking IT ecosystems, characterized by a mix of legacy and modern infrastructures. Ensuring compatibility and minimal disruption during the integration was critical. Additionally, the high volume of data generated by multiple systems required sophisticated analytical capabilities to filter signal from noise, ensuring that real issues were promptly and accurately identified without overwhelming system operators.

Financial Transaction Monitoring

Low or no licensing / subscription fee
Flexibility to customise panels functionally
Flexibility to customise look and feel of dashboard
Flexibility to integrate 3rd party plugins into dashboard
Managed / on premise / cloud options for the infra setup based on your data privacy / reliability/ cost preferences
Support for upgrads and migration

Solution

We developed an AI-powered monitoring solution tailored specifically for the dynamic environment of digital banking. This solution leverages machine learning algorithms to analyse patterns in vast streams of operational data, enabling predictive maintenance rather than reactive measures.

Key Features

01

Customizable Dashboards: Provide real-time insights and deep dives into application and infrastructure health, allowing for quick identification and analysis of potential issues.

02

Advanced Alerting Systems: Utilize anomaly detection and trend analysis to generate alerts, helping IT teams pre-emptively address and resolve issues before they impact service quality.

03

Seamless Integration: Engineered to integrate smoothly with both legacy systems and modern cloud-based architectures, ensuring comprehensive monitoring without operational disruption.

Impact

01.

Enhanced Operational Efficiency: The AI-driven monitoring platform has transformed the client's approach to operational monitoring, significantly enhancing the efficiency and robustness of digital services.

02.

Improved Customer Experience: By enabling swift issue detection and resolution, the monitoring system has markedly improved the client's ability to maintain high service standards, leading to enhanced customer satisfaction and loyalty.

03.

This project not only reinforces the client’s position at the forefront of digital banking innovation but also sets a new benchmark for the use of AI in financial services infrastructure management.