Document processing in the FSI sector: Real-world applications of Parashift’s AI technology

The average bank processes thousands of documents every day. The same is true for insurance companies. The workload involved in processing these documents is enormous, and the sensitive data they contain makes it a highly responsible task. Too many of these banks and insurance companies are still doing this work manually or using outdated and unsuitable tools. Parashift’s AI technology is a revolutionary answer to this challenge. It is not just a technological breakthrough, but a paradigm shift in the way financial documents are processed. With Parashift, precision meets speed and security, transforming the processing of complex documents into a streamlined and successful operation.

Banks and insurances process thousands of documents. How to deal with that?

In the banking and insurance industries, the sheer volume of documents is staggering. These documents range from customer onboarding paperwork to intricate loan applications in banking, and from complex claims processing to detailed policy documentation in insurance. Handling these documents isn’t just about routine processing; it’s about ensuring precision, accuracy, and compliance while delivering high-quality customer service.

The traditional manual methods of handling such a volume of documents present a host of challenges. First, there’s the time factor. Manual processing is inherently time-consuming, requiring hours of human labor to sort, file, and manage paperwork. This slow pace can lead to backlogs and delays, affecting customer satisfaction and operational efficiency.

Accuracy is another major concern. Manual data entry and processing are prone to human error, which can have significant consequences in finance and insurance. A single mistake in a loan application or an insurance claim can lead to incorrect assessments, compliance issues, and dissatisfied customers.

Compliance poses yet another challenge in manual document processing. The financial sector is governed by strict regulations, and ensuring compliance requires meticulous review and management of documents. This is both labor-intensive and error-prone, increasing the risk of non-compliance penalties.

Lastly, the traditional methods offer limited scalability. As a bank or insurance company grows, the volume of documents increases proportionally. Scaling up manual processes to meet this growth is not only inefficient but also unsustainable in terms of cost and resource allocation.

This is where Parashift’s AI technology offers a solution.

Enhancing banking operations with AI-Driven document processing

In banking, the onboarding of new customers involves a significant amount of paperwork, from identity verification to financial history checks. By automating the processing of documents, Parashift dramatically reduces the time and labor involved. Its advanced algorithms ensure high accuracy in data extraction and processing, significantly reducing the risk of human error.

Compliance is streamlined as the AI technology can be programmed to adhere to regulatory standards, ensuring that every document is processed in compliance with industry norms. Additionally, Parashift’s AI solutions are scalable, easily adapting to increased volumes without the need for proportional increases in resources. This transformative approach addresses the core challenges of traditional methods, propelling banking and insurance companies towards a more efficient, accurate, and compliant future.

By efficiently processing and analyzing financial documents and applications, Parashift enables banks and insurances to make faster and more informed lending decisions, enhancing customer satisfaction and operational efficiency.

Let’s now take an example from the insurance sector: Automated insurance invoice processing

In the insurance industry, invoice processing is a crucial yet intricate operation. It involves managing various documents such as service provider bills, cost summaries and so on. Each invoice carries vital financial data that demands accurate processing to ensure timely payments and financial compliance. Parashift Platform steps in here, offering a technically sophisticated solution to streamline this complex process.

It employs a blend of Optical Character Recognition (OCR) and advanced Machine Learning (ML) algorithms to automate the extraction and analysis of data from these documents. Here’s a detailed look at how it transforms insurance invoice processing:

Document Classification: Parashift Platform begins by classifying the different types of documents involved in invoice processing. This classification is crucial for understanding the nature and context of each invoice and its relevance to financial operations.

Data Extraction: Post-classification, Parashift uses OCR technology and Swarm Learning Document* to scan and extract text from these documents. The platform handles multiple formats and layouts efficiently, extracting critical information like invoice numbers, service dates, amount details, provider information, and specific cost breakdowns.

Insurance Invoice – Extraction stage

Data Analysis and Validation: The extracted data undergoes analysis using ML algorithms. This step involves verifying the extracted information against contract terms, service agreements, and policy guidelines to assess the accuracy and legitimacy of each invoice. Parashift’s AI capabilities are crucial in identifying any discrepancies, overcharges, or anomalies that could impact financial accuracy and compliance.

Medical invoice – Extraction/Validation stage

Continuous Learning: A key feature of the Parashift Platform is its adaptive learning capability. As it processes a growing number of documents, the AI models continuously improve, becoming more adept at recognizing complex invoice formats and industry-specific billing nuances. This ongoing learning enhances both the accuracy and efficiency of the invoice processing system. All of this is possible thanks to Document Swarm Learning®.

Parashift’s Document Swarm Learning®* represents a groundbreaking leap in AI technology for document processing. Unlike traditional systems that link learning models to specific document types, Parashift’s approach is radically different. It focuses on ‘extraction entities’ – essentially data fields that need to be identified and extracted from various documents. These entities are universal, meaning they are not tied to any specific document type.

Here’s the innovation: Parashift’s AI doesn’t just learn; it learns collectively. Each document processed contributes to a growing knowledge base. This means that the AI is not just learning to recognize patterns in one type of document but is constantly adapting to a variety of formats and contents. The AI models compete against each other for each extraction entity, continually improving through this competition. The best-performing model for each entity is then used, enhancing the overall accuracy and efficiency of the process.

This method allows Parashift to pre-train its system on thousands of document types, drastically reducing the need for additional training for new document formats. The result? A more agile, efficient, and accurate processing system that adapts and evolves continuously. This technology not only streamlines invoice processing in insurance companies but also minimizes errors and ensures compliance with financial standards, leading to a more transparent and efficient financial management system.

Conclusion: Embracing AI for a competitive edge

In conclusion, the integration of Parashift’s AI technology in the banking and insurance sectors represents a significant stride towards enhanced efficiency, compliance, and customer satisfaction. By addressing specific challenges with practical applications like customer onboarding in banking and claim processing in insurance, Parashift doesn’t just solve existing problems; it paves the way for a more innovative, responsive, and customer-focused future in these critical industries.

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