Artificial intelligence is playing a growing role in market supervision at Anbima (Brazilian Financial and Capital Markets Association), as part of a broader transformation strategy combining technology, data and business expertise. The goal is to expand teams’ analytical capacity, improve process efficiency and strengthen a more predictive approach, allowing trends, patterns and potential risks to be identified more quickly.

Market supervision is a key part of Anbima’s self-regulatory model, continuously monitoring whether participating institutions comply with the association’s codes. The work combines data and document analysis with preventive monitoring and investigations into potential breaches, providing the technical basis for guidance, corrective action and, when necessary, enforcement proceedings.

This evolution reflects a broader journey involving the structuring of data, the redesign and creation of processes, stronger governance and the development of new capabilities across teams. Rather than simply adopting new tools, Anbima is reshaping how it works to harness technology safely and effectively.

Greater scale and intelligence in monitoring

Advances in analytical tools have significantly expanded Anbima’s monitoring capacity. Where analysis once had to focus on samples of information, teams can now review much larger volumes of data, cross-reference different sources and identify situations requiring attention more quickly and in greater depth.

Dashboards and analytical models help teams turn this volume of information into insights, prioritize relevant cases and focus resources on areas that require closer attention.

“Innovation only makes sense when it is accompanied by governance. That is why we develop our models with continuous validation and monitoring mechanisms, ensuring that technology supports decision-making without compromising security and reliability,” said Guilherme Benaderet, Anbima’s head of market supervision.

The result is a supervision function better equipped to anticipate developments and act preventively, reducing the need for reactive action after events have already occurred.

A new approach to document analysis

One example of this transformation is the use of artificial intelligence to analyze unstructured data, including material facts and minutes of investment fund meetings. Previously handled largely through manual review, the process now uses tools capable of collecting documents, interpreting their content and identifying potential situations that require attention.

The technology also supports preliminary analysis, providing inputs for human review. Final decisions and validations remain the responsibility of Anbima’s teams, preserving the technical rigor required for supervision.

The same approach is gradually being extended to other areas, allowing teams to focus on higher-value analytical work while handling the growing volume of information produced by the market more efficiently.

Governance and security at every stage

Artificial intelligence is being adopted within a structured governance framework. The models are continuously monitored and refined, with validation mechanisms designed to help ensure the quality of the analysis and the reliability of the results.

The use of these tools also follows Anbima’s information security, data governance and compliance standards. The goal is to bring innovation into supervisory processes without introducing new risks, strengthening the team’s ability to operate efficiently and securely while responding to the market’s evolving needs.