Industry

Banking & Financial Services

Department

Banking & Financial Services, Retail & Commercial

The Challenge

The bank’s Corporate and Investment Banking team handles a large number of trade finance transactions every day. Each case involves verifying unstructured documents in many formats, including contracts, invoices, and certificates across multiple countries and regulatory frameworks.

Before Maisa, more than 300 specialists reviewed each document manually, spending over an hour per case. Files often contained stamps, signatures, handwriting, and scanned images, which made automation difficult. When regulations changed, the process required months of rework and retraining, consuming valuable time and resources.

Previous automation tools such as OCR and RPA could not handle the variety and ambiguity of trade finance documents. This caused major bottlenecks, delayed client transactions, and prevented the team from scaling operations efficiently.

The result was slow reviews, long client turnaround times, high operational costs, and growing regulatory pressure.

The Solution

Using Maisa Studio, the operations team built its first Digital Worker in minutes using simple natural language instructions, without the need for coding or technical expertise. The Maisa Digital Worker now manages the trade finance verification process from start to finish.

Using Maisa Studio, the operations team built its first Digital Worker in minutes using simple natural language instructions, without the need for coding or technical expertise. The Maisa Digital Worker now manages the trade finance verification process from start to finish.

Document Intake

Processes both digital and scanned PDFs, even those without an embedded text layer, ensuring complete coverage regardless of quality or format.

Cross Validation of Information

Checks every document for key data points, verifies beneficiaries, terms, and compliance requirements, and ensures consistency across multiple sources.

Adaptive Reasoning

When information is missing or unclear, the Digital Worker identifies gaps, searches related documents for additional context, and applies reasoning to produce accurate conclusions.

Executive Reporting

Compiles a complete summary of every document analyzed, including findings and references. Every decision is traceable and fully auditable.

Institutional Knowledge Capture

Each execution enriches Maisa’s Know How system, transforming institutional expertise into a reusable internal asset that evolves with every process run.

By combining document intelligence, embedded expertise, and continuous learning, the bank automated one of its most complex and regulated operations with confidence and transparency.

The Results

Massive Time Savings

Trade finance verification time decreased from hours to minutes.

Faster Transaction Turnaround

End to end automation removed manual bottlenecks and accelerated client service.

Continuous Learning and Scalability

Each execution captured expert knowledge, creating a self improving automation framework that can be deployed across regions.

Consistent and High Quality Decisions

Traceable and rule aligned automation ensured accuracy, compliance, and full audit confidence.

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