Top-20 Global Banking Group

Our client was looking for a trusted technology partner to expand its internal team and accelerate the delivery of an AI-powered decision-support platform for the banking industry.

Top-20 Global Banking Group

Key Results

Summary
AI-driven anomaly detection increased accuracy by 45 %
AI-driven anomaly detection increased accuracy by 45 %
AI-driven anomaly detection increased accuracy by 45 %
Seamless API integration ensured 100 % data consistency across banking systems

Summary

The purpose was to expand its internal team and accelerate the delivery of an AI-powered decision-support platform for the banking industry. The solution needed to combine deep learning, data analytics, and intuitive UX to transform how financial institutions manage operational efficiency and risk.

Client

A Top 20 global banking group by total assets

Industry

Banking & Finance

Services

AI software engineering, dedicated near-shore team augmentation, UX/UI development, API integration

Technologies

Python, TensorFlow, PyTorch, C++, REST APIs Optimized for deep-learning scalability

Allocated Team

10 AI Engineers (software developers, ML specialists, UI/UX experts, and QA automation engineers)

Cooperation period

3 years | Later expanded to multiple AI initiatives

Client Challenge

Our client needed a banking AI solution capable of automating decision-making processes across finance departments. 


The system had to process millions of invoices, detect duplicates in real time, and deliver predictive analytics that cut labor costs and improved data accuracy. 


To meet strict deadlines and quality standards, our client needed a reliable development partner able to integrate its AI engines into a production-ready enterprise platform - connecting multiple banking systems securely and intuitively. 

Qualysoft Solution

Qualysoft assembled a 10-member dedicated team of AI-skilled developers and system integrators within weeks. 
The team implemented and optimized the AI engine, designed APIs for inter-system connectivity, and refined the user experience for intuitive operation. 
Rapid team integration – Full near-shore team onboarded in 6 weeks, embedded into our client’s R&D workflow. 
AI engine integration – Seamless deployment of machine-learning modules and neural-network ensembles for invoice-pattern recognition. 
Quality and performance – Automated testing framework cut manual QA effort by 65 %. 
Scalable architecture – Cloud-ready infrastructure prepared for future banking use-case expansion.

Results

The AI-driven decision-making platform now supports a top-10 multinational bank across 40 + countries, automating invoice validation and payment reconciliation. 
Efficiency rose sharply: manual review effort down 60 %, and processing speed up 2.5×. 
Three neural-network models cross-evaluate each transaction to identify duplicates with 98 % accuracy, while intuitive dashboards give finance teams full visibility in real time. 
The project’s success led our client to launch a dedicated fintech startup built on the platform’s core technology — with Qualysoft continuing as its long-term development partner. 

  • 60 % cost reduction in invoice processing
  • 45 % improvement in anomaly-detection accuracy
  • 2.5× faster decision-making workflow
  • 98 % precision in duplicate-invoice detection
  • 100 % uptime in live banking environments