Technical documentation management
Firedesktop has developed a solution to automatically collect data from bundles of documents relating to deteriorated bank loans or NPL.
The solution integrates Flowbot® platform with Ethymo® search engine, in order to extract data from documents and send them to the customer data warehouse.
This robot reads information from files containing scans of documents from single unstructured or semi-structured records (contracts, judicial acts, …) and transforms them into structured data, usable both in Machine Learning processes, dedicated to decision-making support, and in the internal Bank workflow.
In this way, not only the Bank drastically reduces manual control of documents, but employees can carry out greater added value activities, bringing benefits and efficiency to the company.
The goal is to quickly collect and extract valuable information hidden in documents relating to non-performing bank loans through software robots and send them to the Customer’s data warehouse for the related decision-making processes.
The manual control of documents made by people has been practically eliminated, moving them from activities with very low added value and routine to activities with high added value, allowing with the same number of resources in the year before carrying out more activities and bringing benefits and efficiency to the company
The system performs in an outstanding way: the checks on NPLs that were previously carried out by about fifty people in three months, are now completed in just three weeks by two full-time people and a part-time supervisor.
Specific languages usage related problems solution.
Process swiftness secured by an exclusive Ai based engine
No need for intervention to insert ontologies and input exectuions.
Real Insight Engine
The Ethymo process
The documents are interpreted and broken down on various levels during the index phass
The identified levels extract a conceptual representation of the contents
The documents entered in the system contribute to the learning of the search engines
The manipulation of the information produced is organized in macro phasess
Ethymo analyzes user requests and tracks front-end operationss