AI as a control tool

Finance is at the heart of companies, whether for internal management or as a service. This means that, traditionally, mathematical, statistical and econometric methods have been used to prevent fraud, manage financial risk or forecast the profitability of an investment. As computer capacity has evolved, these classic techniques have been complemented and even replaced by Artificial Intelligence models that, with less human intervention, achieve results never before imagined.

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Artificial intelligence in finance covers all types of applications, from chatbot assistants to fraud detection and task automation. Many financial institutions such as banks or investment funds are well aware of the potential and effective benefits of AI in the industry.

AI is particularly useful in corporate finance as it can better predict and assess loan risks. For companies seeking to increase their value, AI technologies such as machine learning can help improve prevention and anticipation of potential customer or loan defaults, reducing financial risk. AI can also decrease financial crime through advanced fraud detection and detect abnormal activity as companies’ accountants, analysts, treasurers and investors work toward long-term growth.



  • Risk rating and scoring
  • Fraud detection
  • Credit admissions
  • Trading and data based decision making


Among the most frequent solutions is the monitoring and prevention of fraud by analyzing abnormal behaviour in operations. One example is its use as a tool to cover the requirements imposed by regulatory bodies such as the National Securities Market Commission on operations carried out through a financial entity’s platforms, thus being able to detect and report operations suspected of market abuse (privileged information, price manipulation, …).

For non-financial entities, an application of great importance is that related to the prevention of non-payment by clients. It consists of the use of unsupervised models that allow the generation of client profiles with similar behaviour in terms of solvency and payment intention.


With the Agile methodology as an internal standard, we always adapt to the requirements and availability of the Client.

Since the services offered are customized, we consider frequent and close communication and contact as essential conditions to maximize the efficiency and continuity of the projects. That is why the feedback and progress presentation meetings have an average frequency of one week.


How can I incorporate AI into my processes?

Answer All of our collaborations are based on support from the conceptualization phase to the production of the solutions. The first step is to contact us and, without any commitment, find the optimal way to apply the tools that best suit your business.

Do I need a Data Scientists team and a special data architecture?

Answer Not necessary, since we have a complete team of experts and the necessary computer resources for the development of practically any type of solution based on data and Machine Learning. Flexibility in the nature of the data source is complete (unstructured data, SQL databases, Excel data, …)

How can I measure the value you bring to my business?

Answer The calculation of profitability can be obtained in a quantitative way as in traditional projects. In addition, the support of success stories and the strong investment made by companies all around the world is a true reflection of the reality about these projects and how the risk associated with them is, year by year, decreasing.

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