Skip to main content
BI4ALL BI4ALL
  • Expertise
    • Artificial Intelligence
    • Data Strategy & Governance
    • Data Visualisation
    • Low Code & Automation
    • Modern BI & Big Data
    • R&D Software Engineering
    • PMO, BA & UX/ UI Design
  • Knowledge Centre
    • Blog
    • Industry
    • Customer Success
    • Tech Talks
  • About Us
    • Board
    • History
    • Partners
    • Awards
    • Media Centre
  • Careers
  • Contacts
English
GermanPortuguês
Last Page:
    Media Center
  • BI4ALL develops AI solution to optimise Finsolutia’s credit recovery processes

BI4ALL develops AI solution to optimise Finsolutia’s credit recovery processes

Página Anterior: Blog
  • Knowledge Center
  • Blog
  • Fabric: nova plataforma de análise de dados
1 Junho 2023

Fabric: nova plataforma de análise de dados

Placeholder Image Alt
  • Knowledge Centre
  • BI4ALL develops AI solution to optimise Finsolutia’s credit recovery processes
24 February 2025

BI4ALL develops AI solution to optimise Finsolutia’s credit recovery processes

BI4ALL develops AI solution to optimise Finsolutia’s credit recovery processes

Lisbon, February 25, 2025 – BI4ALL, a specialist in Data Analytics and AI solutions, has developed an Artificial Intelligence solution for Finsolutia, a credit and property asset management company. The solution automates the process of transcribing and summarising calls in the context of credit recovery, significantly enhancing the efficiency of daily interactions.

Founded in 2007, Finsolutia currently has around 400 employees across Lisbon, Porto and Madrid offices. The company stands out for its use of technology to meet the needs of the mortgage and property credit markets, collaborating with renowned institutions such as Caixa Geral de Depósitos and Banco CTT in Portugal and focusing on the management and recovery of credit and property in Spain.

In the credit recovery process, Finsolutia’s agents contact debtors by phone to negotiate payment agreements or proposals for renegotiating contracts in default. Previously, after each call, agents spent time manually summarising and manually entering information into the system, which represented a significant cost for the company.

To optimise this process, BI4ALL, in collaboration with Finsolutia, has developed an Artificial Intelligence solution that automates the transcription of calls, analyses the sentiment of the parties involved, and generates a standardised summary of the conversation. This solution reduces the time agents spend and ensures greater consistency and quality in the records, allowing for more informed and efficient future negotiations.

Miguel Madeira, Chief Technology Officer CTO at Finsolutia, explains: “For every call made by a loan recovery agent, they now save around 10 to 15 minutes, which translates into a huge increase in productivity for the teams, and it should be noted that Finsolutia has around 80 recoverers in Lisbon and Madrid doing this activity every day. In practice, our recoverers will make more calls. They won’t recover more debt, but they’ll recover it faster because they’ll have more time to negotiate.”

Through this initiative, Finsolutia is reinforcing its strategic commitment to innovation and technology, guaranteeing increasingly efficient services adapted to the evolution of the credit and property markets.

“The partnership with Finsolutia is a clear example of how innovative solutions can optimise critical processes such as credit recovery, ensuring greater agility, precision and strategic value for organisations. We are very proud of this project and its positive impact on the productivity of the Finsolutia team, reinforcing our mission to help organisations get the most out of technological solutions,” says José Oliveira, CEO of BI4ALL.

Check out the news published by the media here:

  • Jornal Económico– February, 2025

Share

Suggested Content

Data sovereignty: the strategic asset for businesses Blog

Data sovereignty: the strategic asset for businesses

In 2025, data sovereignty has become the new engine of competitiveness — turning massive volumes of information into innovation, efficiency, and strategic advantage.

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations Blog

Modern Anomaly Detection: Techniques, Challenges, and Ethical Considerations

Anomaly Detection identifies unusual data patterns to prevent risks, using machine learning techniques

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits Blog

Optimising Performance in Microsoft Fabric Without Exceeding Capacity Limits

Microsoft Fabric performance can be optimised through parallelism limits, scaling, workload scheduling, and monitoring without breaching capacity limits.

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3) Blog

Metadata Frameworks in Microsoft Fabric: YAML Deployments (Part 3)

YAML deployments in Microsoft Fabric use Azure DevOps for validation, environment structure, and pipelines with approvals, ensuring consistency.

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2) Blog

Metadata Frameworks in Microsoft Fabric: Logging with Eventhouse (Part 2)

Logging in Microsoft Fabric with Eventhouse ensures centralised visibility and real-time analysis of pipelines, using KQL for scalable ingestion.

Simplifying Metadata Frameworks in Microsoft Fabric with YAML Blog

Simplifying Metadata Frameworks in Microsoft Fabric with YAML

Simplify metadata-driven frameworks in Microsoft Fabric with YAML to gain scalability, readability, and CI/CD integration.

video title

Lets Start

Got a question? Want to start a new project?
Contact us

Menu

  • Expertise
  • Knowledge Centre
  • About Us
  • Careers
  • Contacts

Newsletter

Keep up to date and drive success with innovation
Newsletter

2025 All rights reserved

Privacy and Data Protection Policy Information Security Policy
URS - ISO 27001
URS - ISO 27701
Cookies Settings

BI4ALL may use cookies to memorise your login data, collect statistics to optimise the functionality of the website and to carry out marketing actions based on your interests.
You can customise the cookies used in .

Cookies options

These cookies are essential to provide services available on our website and to enable you to use certain features on our website. Without these cookies, we cannot provide certain services on our website.

These cookies are used to provide a more personalised experience on our website and to remember the choices you make when using our website.

These cookies are used to recognise visitors when they return to our website. This enables us to personalise the content of the website for you, greet you by name and remember your preferences (for example, your choice of language or region).

These cookies are used to protect the security of our website and your data. This includes cookies that are used to enable you to log into secure areas of our website.

These cookies are used to collect information to analyse traffic on our website and understand how visitors are using our website. For example, these cookies can measure factors such as time spent on the website or pages visited, which will allow us to understand how we can improve our website for users. The information collected through these measurement and performance cookies does not identify any individual visitor.

These cookies are used to deliver advertisements that are more relevant to you and your interests. They are also used to limit the number of times you see an advertisement and to help measure the effectiveness of an advertising campaign. They may be placed by us or by third parties with our permission. They remember that you have visited a website and this information is shared with other organisations, such as advertisers.

Política de Privacidade