Finsolutia simplifies Due Diligence through AI

Implemented solution reflects in 90% gains in operational efficiency

What if it were possible to reduce Due Dilligence from weeks to a couple of hours? Finsolutia implemented an innovative solution based on Artificial Intelligence that transforms credit portfolio analysis by reducing it drastically with efficiency gains.

The implementation of this solution, developed in partnership with Bi4All by Plexus, will simplify processes that once were complex and timely consuming. The implemented solution reduces processes from three months to just five hours and consists of intelligent automation that works as a reading layer and documental interpretation.

Usage of different technologies results in greater operational efficiency

The solution can identify relevant information in documents with different formats and languages, automating different tasks such as classification, extraction, and summarization of contents. To achieve these results, the solution now implemented uses innovative technologies like GenAI, Large Language Models (LLM), Natural Language Processing (NLP), and a multiagent architecture capable of interpreting textual and visual content.

According to Tomás Regojo, Senior Associate – Advisory & Business Development

The key advantages of this approach translate into speed, quality and control gains beyond the simple cost cut. This solution allows us to lead more efficiently with peaks of business opportunities without the need of significantly raise teams.

The information is automatically structured and validated, ensuring that consistency and alignment with business needs are met, maintaining simultaneously the possibility of human intervention in exceptional circumstances.

The implementation of this solution resulted in an increase greater than 90% in operational efficiency impulse through task automation and repetitive chores and by reducing manual intervention. Quality and consistency of data were also significantly improved, mitigating the risk of human factors and enhancing the reliability of information used in the process of decision making.

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