- The National Association of Credit Bureaus (ANBC) says AI reduces costs, improves risk analysis, and expands access to responsible credit.
- The topic has been discussed at international events.
Artificial Intelligence (AI) is already a well-established reality in the Brazilian credit market and is changing the way companies and consumers interact with the financial system. According to ANBC, the technology, which began to be applied in the sector more than 20 years ago with the use of machine learning, is now advancing with the arrival of generative AI and expanding the possibilities for analysis, efficiency, and financial inclusion.
According to ANBC, the application of AI has generated concrete results, such as reduced operational costs, increased accuracy of analyses, improved customer experience, and expanded access to credit in a responsible manner. “ Today, AI is a strategic ally. It helps companies reduce costs, increase the accuracy of analyses, and offer a better customer experience, all with responsibility and security,” says Elias Sfeir, executive president of ANBC.
In Brazilian credit bureaus, AI is already being used in processes such as instant credit score updates, real-time fraud detection, and automation of statistical models. According to the entity, automation can reduce costs by up to 66% and accelerate the development of models that previously took weeks to complete (today they are completed in a few days). In one company in the sector, more than 70% of the new models created in 2023 incorporated machine learning and deep learning, which increased data processing speed by 20 times and ensured greater security and agility in decision-making.
Another important advancement is the instant removal of negative credit reports, which allows for updating credit scores in seconds. “This structurally changes the market, because consumers who pay their debts regain access to credit almost in real time,” explains Elias. Furthermore, the inclusion of data from electricity, telephone, and social program bills in predictive models has helped reduce delinquency by up to 15%, without affecting approval rates.
ANBC also highlights that the use of advanced analytical platforms has allowed for a tripling of the production of analytical models and a reduction in development time from three or four weeks to just a few days, with an increase of up to eight points in the KS index, which measures the predictive quality of the analyses. There are also solutions capable of analyzing up to 24 months of account history, evaluating amounts paid and consumption behavior, which makes credit decisions more accurate and personalized.
According to Sfeir, AI governance in credit bureaus is guided by ethical principles and rigorous security practices. “Innovation needs to go hand in hand with responsibility. We have monitored, transparent systems committed to the ethical use of data, which contributes to sustainable financial inclusion,” says the executive.
With the advancement of technology, the debate on AI regulation is also growing. ANBC actively participates in national and international discussions and advocates for balanced regulation that encourages innovation while protecting consumers. The topic has been on the agenda at international events discussing the ethical and responsible use of technology, reinforcing Brazil’s role as an active participant in this global dialogue. The organization proposes differentiating high-risk systems from traditional credit models, avoiding exaggerated interpretations of discrimination, and maintaining alignment with the General Data Protection Law (LGPD).
For Sfeir, the path lies in the combination of technology and humanity. “Artificial Intelligence should be seen as an Expanded Intelligence, a tool that amplifies human and institutional capabilities, provided it is used ethically, transparently, and responsibly,” concludes the executive.
Source: ANBC
