AI Document Processing

In traditional document-based processes, workers manually go through stacks and stacks of documents. This process is slow and prone to errors, leading to cost, control, and quality issues, as well as a lack of worker satisfaction.

Artificial intelligence (AI) promises to change that. But building and implementing AI solutions is complex and requires a significant investment in talent and infrastructure. And in many cases, the results have been mixed.

The consulting firm presents AI Document Processing, a solution that allows the automatic processing of any type of digitized document using semantic technology.


Nia DocAI announces Intelligent Document Processing, a solution that automates document processing through Artificial Intelligence.

The company specifies that today, " financial services, telecommunications, utilities, insurance companies, public administrations, etc., continue to process a multitude of documents manually, since it is estimated that 70% of the information they handle it is presented in an unstructured format, that is, documentation that comes from multiple sources in multiple formats that are difficult to interpret by information systems. As a consequence, the efficiency of the processes is reduced and operating costs are increased ".

Given this perception, the company launches Intelligent Document Processing, a solution that allows the automatic processing of any type of digitized, structured, and unstructured document, using the potential of semantic technology in combination with optical character recognition (OCR) technology.).

Intelligent Document Processing can interpret and understand the content of both simple and complex documents, extract relevant and interesting information, and store it in a structured way based on business rules to make it available to the rest of the users. company processes.

For this, the new solution provided by Neoris makes use of five dimensions of Artificial Intelligence: Natural Language Processing, Knowledge Representation, Automated Reasoning, Machine Learning / Deep learning, and Perception.

Another characteristic of the solution is that it allows handling, in parallel, the information extracted from different documents related to the same process, performing cross-checks to maximize the information understood.

Likewise, to validate, verify and enrich the information contained in the processed documents, it offers the possibility of integrating with external information sources -official registries, tax agencies, etc.- through a standard API that is offered by default.


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