Automatic operation process in a Bank using AI technology

Project overview

A leading commercial bank in Vietnam aimed to modernize its data collection and integration process by leveraging AI technologies. The bank required a software solution to extract and process data from various external sources, including text documents, scanned files, and digital forms, and then create and manage requests for approval. Once approved, the system would integrate the processed data into the bank’s existing systems, such as the Core Banking System and CRM.

The objective was to streamline data ingestion, reduce manual effort, improve accuracy, and ensure seamless integration with existing infrastructure.

The challenge of project

Developing an AI system to automatic internal process presents several challenges. The project team must collect and process high-quality, diverse, and unbiased data, which is essential for building a reliable model. Additionally, ensuring the system’s accuracy and fairness while addressing potential biases in historical data is a critical task. Furthermore, integrating the AI system seamlessly with existing financial platforms and maintaining its performance under high transactional loads adds to the complexity of the development process.

The Bank faced the following challenges with its current process:

Reactive Approach: The system acted only after customers missed payments, reducing the opportunity for preemptive interventions.
Limited Risk Stratification: Customers were categorized broadly, making it difficult to tailor collection efforts based on risk levels.
High Operational Costs: Inefficient allocation of resources to follow up on all delinquent accounts equally, regardless of their default risk
Data Overload: The system struggled to process large volumes of customer data from various sources effectively.
Accuracy Issues: Traditional models lacked the ability to account for complex patterns in customer behavior, leading to inaccurate predictions

Final results

The AI-powered system delivered measurable improvements across multiple dimensions:

Efficiency Gains: Data extraction time was reduced by 80%, allowing faster processing and decision-making.
Improved Accuracy: The system achieved a 95% accuracy rate in data extraction, significantly reducing errors.
Faster Approvals: Automated workflows reduced approval times by 50%, improving overall responsiveness.
Seamless Integration: Real-time integration with the Core Banking System and CRM eliminated the need for manual data entry, enhancing operational efficiency.
Enhanced Compliance: The solution provided a secure and auditable system, ensuring compliance with banking regulations.
Customer Satisfaction: Faster and error-free processing of customer data requests improved customer experience and satisfaction.

Project Details

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