Open Banking in LATAM: how to originate more credit with better credit assessment

Open Banking in Latin America (LATAM) is transforming loan origination by making it possible to assess customers better with real-time financial data. Today, banks and fintechs can approve more credit, reduce risk and automate credit decisions, driving profitable growth.

Quick definition:

Open Banking is a financial model that allows banking data to be shared securely through APIs and with the user's consent, in order to improve credit assessment and loan origination.

What Open Banking is in LATAM and how it improves origination and credit assessment

Open Banking is a model that lets users securely share their financial information with authorized third parties through APIs. This makes it easier to create new services and improves the financial experience of individuals and businesses. And why does Open Banking improve loan origination? Because it makes it possible to assess repayment capacity better using real-time data.

Open Banking vs. traditional credit assessment

• Traditional assessment: limited data and lower accuracy
• Open Banking: real-time data and better risk analysis
• Traditional assessment: manual processes
• Open Banking: automation through decision engines

The growth of Open Banking in Latin America is driven by:

• Regulations that promote interoperability.
• Greater financial digitalization.
• The expansion of fintechs and neobanks.
• Demand for personalized products.

According to the World Bank, financial digitalization and secure data sharing can help increase financial inclusion and make credit more accessible to individuals and businesses.

Learn more about: Open Banking and decision engines: how to transform credit automation in Latin America

Open Banking and credit assessment: how to originate more credit with financial data

One of the biggest contributions of Open Banking is the ability to enrich credit assessment with up-to-date financial information authorized by the user.

Thanks to this model, organizations can incorporate data such as:

• Bank transaction history.
• Recurring income and expenses.
• The customer's repayment capacity.
• Financial behavior.
• Active financial products.

This allows a more accurate assessment of credit risk, improves credit scoring and optimizes repayment capacity analysis; it also helps identify customers with financing potential who previously fell outside commercial strategies. As a result, organizations can optimize their loan origination processes, increase disbursement volumes and maintain consistent credit assessment criteria.

Having more information not only improves the quality of decisions, it also makes it possible to develop more personalized products.

Benefits of Open Banking for loan origination

Open Banking improves loan origination and credit risk assessment through more complete and up-to-date data.

The main benefits of Open Banking for financial institutions include:

• Greater access to up-to-date financial information.
• More accurate credit assessments.
• Better credit risk management.
• Faster credit approval and disbursement.
• Higher approval rates.
• Development of personalized financial products.
• Greater financial inclusion.

Decision engines to automate credit assessment

Access to more information is only the first step. The real value lies in turning that data into actionable decisions.

Credit decision engines (decisioning) make it possible to:

• Automate the credit assessment process with rules and risk models.
• Integrate multiple data sources.
• Apply automated business rules.
• Adjust risk policies quickly.
• Maintain traceability on every decision.

This way, organizations can make the most of the potential of Open Banking without increasing operational complexity.

In practice, decision engines turn data into commercial growth, helping organizations increase the volume of approved credit without adding operational complexity.

You may also be interested in: Agile credit assessment in LATAM: credit automation and success stories

uFlow: the decision engine for Open Banking and credit automation

uFlow is a no-code decision engine designed to automate loan origination and credit assessment at financial institutions across Latin America.

Accelerate loan origination and automate credit assessment with uFlow, place more credit and respond faster to market opportunities with the no-code decision engine. Improve your approvals and reduce risk: https://uflow.biz/en/decision-engine

Key takeaways on Open Banking and credit:

• It provides access to financial data in real time
• It improves risk analysis and credit scoring
• It automates credit assessment with decisioning
• It increases credit approvals with lower risk

FAQs

What is Open Banking and how does it work?

Open Banking allows financial data to be shared between institutions through APIs and with the user's consent, enabling better credit decisions.

What data does Open Banking use to assess credit?

Open Banking uses data such as bank transactions, income, expenses, financial behavior and active products to improve credit assessment.

Which decisioning platforms are best for reducing manual analysis in loan origination?

Decisioning platforms automate credit assessment, apply risk policies consistently and reduce reliance on manual analysis. Organizations usually look for solutions that are flexible, scalable and easy for business teams to administer.

How does Open Banking help improve credit assessment?

Open Banking provides access to up-to-date financial information authorized by the individual, which improves repayment capacity analysis, reduces uncertainty and allows more accurate credit decisions.

What benefits does Open Banking bring to loan origination?

Open Banking helps accelerate loan origination by providing more information to assess applicants, automating decisions and expanding access to financial products for new customer segments.

What are the main challenges Latin American companies face when implementing no-code tools?

The main challenges include integration with existing systems, internal change management, user training and defining clear processes to make the most of the autonomy that no-code platforms offer.