30 April 2026
Finsolutia: Accelerated portfolio analysis
Finsolutia: Accelerated portfolio analysis
The Company
Finsolutia is a group specialising in the credit and real estate sector, founded in 2007 and now present in Portugal and Spain, with around 400 employees across Lisbon and Madrid. It has evolved from a real estate credit servicing platform into an integrated operation that covers the entire mortgage value chain — from origination and intermediation to loan and real estate asset management.
The company operates across three main verticals: servicing for financial institutions, investment in credit and real estate, and technology, with its own platform supporting both markets.
Within a complex operational context, Finsolutia manages thousands of extensive and heterogeneous documents associated with real estate credit, requiring highly efficient and accurate processes. Since 2023, with the entry of Pollen Street Capital, it has strengthened its Iberian presence and initiated an international expansion plan focused on mortgage origination.
The Challenge
The due diligence process of credit portfolios, essential for investment evaluation, was traditionally supported through the manual analysis of extensive and heterogeneous documentation. Each document required reading, interpretation and extraction of relevant data, making the process slow, resource-intensive and prone to error.
The lack of standardisation of documents, especially in cases such as land registry records and valuation reports, made it more difficult to identify and organise critical information consistently. At the same time, the duplication of data across different sources and the need for manual input into systems contributed to increased inefficiencies and the risk of inconsistencies.
With demanding deadlines and large volumes of information, the process could take weeks, limit responsiveness and making the evaluation of opportunities slower and more costly.
“The process involves several workflows, with the legal and real estate areas representing most of the team’s effort and time. Portfolios generally include thousands of loans and guarantees, which makes a full analysis of all documents unfeasible. For this reason, a representative sample of the portfolio is selected, on which an in-depth analysis is carried out, including the review of legal processes and the real estate perimeter, allowing the estimation of recovery strategies and respective timelines based on the profile of the debtors”, explains Tomás Regojo – Senior Associate – Advisory & Business Development, Finsolutia.
The Solution
In partnership with BI4ALL by Plexus, Finsolutia implemented an intelligent document analysis automation solution, based on GenAI, LLMs and Natural Language Processing (NLP) technologies.
The solution is based on a multi-agent architecture capable of understanding both the textual and visual content of documents. In this way, it enables the automation of the classification, extraction and summarisation of information from large volumes of PDF documents, regardless of their format or language.
The extracted information is automatically structured and validated, ensuring consistency and alignment with business requirements, while allowing human intervention in exceptional cases.
The project was developed with a collaborative and interactive approach between the Finsolutia and BI4ALL by Plexus teams, ensuring strong alignment between technology and business needs.
After an initial phase marked by some scepticism — natural given the critical nature of the process — the solution was validated in a real context. Its ability to generate structured results quickly and consistently led to a significant change in the working model: teams began to focus less on data entry and more on analysis, validation and decision-making.
According to Tomás Regojo, “the main advantages of this approach translate into gains in speed, quality and control, going beyond simple cost reduction. The solution makes it possible to deal more efficiently with peaks in business opportunities, without the need to significantly increase teams.”
The Results
The implementation of the solution brought a clear transformation to the due diligence process.
Processing time, which previously could extend to three months, was drastically reduced to around 5 hours, enabling unprecedented acceleration in portfolio analysis.
At the same time, there was a significant increase in operational efficiency, exceeding 90%, resulting from the automation of repetitive tasks and the reduction of manual intervention. This improvement was accompanied by an increase in data quality and consistency, reducing the risks associated with human error.
The solution also ensures consistent levels of accuracy and scalability, regardless of document type or language, which proved critical in a context of high document diversity.
With this transformation, Finsolutia is now able to analyse a greater volume of opportunities more quickly and efficiently, strengthening its competitive capacity in the market.
The drastic reduction in processing time enabled a more agile response to new opportunities, while the increase in information quality and control supported more informed and secure decision-making.
In addition, the scalability of the solution eliminated the need to proportionally increase teams to deal with peaks in activity, enabling sustainable and efficient growth.
The partnership between Finsolutia and BI4ALL by Plexus demonstrates how the application of artificial intelligence technologies to document analysis can redefine critical processes in the financial sector.
By automating the extraction and structuring of information and enhancing the analytical capacity of teams, it was possible to transform a slow and resource-intensive process into an agile, scalable and decision-oriented model.
This transformation brought speed, quality and control, fundamental pillars for competing in an increasingly demanding market.
Testimonial
“The partnership with BI4ALL by Plexus proved fundamental to the success of the project. The ability to understand business requirements and translate them into a solid and functional solution, combined with flexibility and strong alignment between teams, allowed us to work as a single unit, with measurable results and clear feedback cycles, decisive factors for the success of the implementation.”
Tomás Regojo
Senior Associate
