Case study: Bank automates high-risk compliance with Pragma's GenAI

A major financial institution faced a critical compliance bottleneck in its high-risk client verification. Pragma's Generative AI solution automated the manual workflow, transforming their operational model.

The challenge: Overcoming a manual compliance bottleneck

In the complex landscape of financial services, maintaining rigorous compliance is paramount. For a major financial institution, this meant meticulously managing the verification process for approximately 14,000 clients classified as high-risk. This critical function required specialized teams to manually review extensive documentation, ensuring every piece of information was valid, complete, and relevant.

This manual methodology, while necessary, created a significant operational bottleneck. The process was not only time-consuming and resource-intensive but also prone to human error.

The Management and Control teams faced a heavy operational load, which directly impacted key business indicators: slowing response times, inflating operational costs, and limiting the bank's ability to scale its high-risk client management efficiently. The institution needed a transformative solution to enhance quality, ensure compliance, and boost productivity simultaneously.

The solution: Intelligent automation powered by Pragma

This leading bank partnered with Pragma to re-engineer this critical process from the ground up. The vision was to move from manual labor to intelligent automation. Pragma designed and implemented a sophisticated solution powered by Generative AI (GenAI) and built on a resilient serverless architecture.

The solution automates the entire document evaluation flow, leveraging AI services like Bedrock and Textract to replicate and enhance human judgment. The new process operates seamlessly:

Automated ingestion: The system queries and retrieves client information and associated documents from the bank's data sources.
Intelligent extraction: Using AI, the solution intelligently extracts and validates all relevant data from the documents.

AI-driven verification: The system automatically contrasts and verifies the quality and consistency of the extracted information against the bank's central client repository.
Automated reporting: Finally, it generates a comprehensive validation report for each client, flagging exceptions for human review while automatically clearing compliant profiles.

This automated flow allows the verification of high-risk profiles to be completed with unprecedented speed and accuracy, freeing expert teams to focus only on the most complex cases.

The results: A new benchmark in efficiency and scale

The impact of Pragma's solution was both immediate and profound, delivering measurable strategic benefits across the board.

Massive operational efficiency: The bank achieved a 95% reduction in operational load during the preliminary file review phase. This translated to a 25% reduction in operational load across the entire workflow.

Significant time and cost savings: The solution reclaimed approximately 4,000 work hours annually. This boost in productivity unlocked annual cost savings estimated at over USD$180,000.

Enhanced productivity and speed: The financial group saw a 70% increase in overall productivity. This efficiency gain also led to a 25% reduction in client response and information update times.

True scalability: The solution eliminated the previous processing cap, enabling the client to scale operations from its previous limit of 800 clients per month to processing the entirety of its high-risk profile list.

By automating its document verification process with Pragma's GenAI solution and AWS technology, the institution not only solved a critical compliance challenge but also transformed its operational model, achieving new levels of acceleration, scalability, and resilience.

The success of this implementation underscores the fundamental role of AWS technology as a cornerstone of financial modernization. Beyond the specific GenAI capabilities, AWS's serverless architecture provided the necessary agility, scalability, and resilience.

In a financial sector that handles massive, fluctuating volumes of sensitive data, the ability to elastically scale resources, without managing underlying infrastructure, is a strategic differentiator. This allows institutions like this one to shift from a capital expenditure (CapEx) model to an operational one (OpEx), paying only for the compute used while guaranteeing the high availability and security demanded by compliance regulations.

In addition to infrastructure, AWS acts as an innovation accelerator by democratizing access to advanced Artificial Intelligence tools. Services like Amazon Bedrock and Textract, used in this case, enable banks to automate cognitive tasks that were once exclusively human and prone to error.

For the financial sector, this represents a radical transformation of operational risk. By delegating mass document verification to AI, institutions not only save thousands of hours and millions of dollars but also free up their expert talent to focus on high-value analysis and strategic decision-making, rather than on manual, repetitive work.