Artificial intelligence in banking: applications and keys to adopt it

Digital transformation has redefined the global banking landscape, and artificial intelligence (AI) has established itself as one of the most disruptive technological pillars in the sector. In 2024, eight out of ten banks in Latin America have implemented some form of AI, mainly in customer service and fraud detection, according to the Finnovista & Microsoft Latin America Report 2024.

The adoption of this technology is driven by the need for operational efficiency, security, and personalization of services. What are the main trends?

Applications of artificial intelligence in financial services

• Intelligent automation: reduction of operating costs through the optimization of internal processes.
• Hyper-personalization: creation of products and services based on user behavior.
• Advanced risk management: predictive models for fraud prevention and compliance.
• Conversational banking: chatbots and virtual assistants powered by generative AI.

In Latin America, AI adoption is at an intermediate stage of maturation. Financial institutions have recognized their value, but face barriers such as limited technological infrastructure, implementation costs, and fragmented regulation. However, countries such as Brazil, Mexico, and Colombia are leading the charge with strategic investments in AI applied to digital banks.

Investment in AI in the financial sector in the region reached approximately $1.5 billion in 2024, a 30% increase from 2023 (IDC Latin America AI Spending Guide, 2024). This reflects the growing interest of institutions in harnessing advanced technologies to improve their competitiveness and security.

Artificial intelligence use cases in banking and the financial sector

Data analysis and personalization of services

Banks have begun to use AI algorithms to perform real-time analysis of customers’ financial behavior and offer products that fit their profile.

BBVA Mexico has implemented AI to assess the creditworthiness of customers without a traditional financial history, enabling the financial inclusion of thousands of people through alternative data analysis.

60% of Latin American fintechs are using AI to personalize products and improve the customer experience (Latam Fintech Hub, AI Trends Report 2024).

Fraud prevention and cybersecurity

Financial fraud is one of the main threats to digital banking. Machine learning models and neural networks allow you to detect suspicious transactions in seconds, with a precision superior to traditional methods.

Bancolombia has adopted an AI system to analyze transactional behavior patterns, reducing mobile banking fraud by 40% in the last two years.

The adoption of AI for fraud detection has made it possible to reduce losses from bank fraud by 25% in the last two years (Association of Latin American Banks – FELABAN, Report 2024).

Growth of chatbots and virtual assistants

Conversational AI has dramatically improved customer service in the banking industry, allowing for immediate responses and personalized assistance.

Bradesco, in Brazil, launched “BIA”, a virtual assistant based on generative AI, which achieved a query resolution rate of 85% without human intervention.

70% of banks in the region use AI-powered chatbots to interact with customers, with a 40% reduction in operational costs related to customer service (Capgemini Research Institute, World Banking AI Report 2024).

The future of AI in financial services

In the short and medium term, artificial intelligence in the banking and financial sectors will evolve in three key axes:

• Evolution of generative AI: use of advanced models for personalized financial advice.
• RegTech and compliance: Implementing AI to streamline audits and regulatory processes.
• Expansion of alternative credit models: AI applied to the credit assessment of unbanked populations.

For Latin America, the challenge will not only be to adopt the technology, but to design strategies that allow it to overcome current barriers and maximize its impact. Financial institutions that integrate AI ethically, safely, and efficiently will have a competitive advantage in this digital age.