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Conversational banking

How conversational banking Is transforming the customer experience

Conversational banking

Conversational banking gives customers a fast and convenient way to interact with their bank. This has helped reduce the number of inquiries handled by call centers and cut wait times at physical branches. With the help of chatbots and virtual assistants, users can get answers to their questions, manage their accounts, or receive financial advice anytime, from any device.

But it’s no longer just about automating inquiries—it’s about transforming customer communication to make it more intuitive, personalized, and efficient. That’s why conversational banking has become a key part of the financial sector’s digital transformation.

In this article, we’ll explore how conversational banking is reshaping the relationship between customers and financial institutions, the benefits it brings, and the technologies driving this evolution.

What Is Conversational Banking?

Conversational banking is a digital interaction model that allows customers to communicate with their bank through chatbots, virtual assistants, and instant messaging. It simplifies the handling of inquiries and banking transactions without the need for direct human interaction. The goal is to enhance the user experience by providing fast, personalized responses anytime, from any device.

Unlike traditional self-service channels, conversational banking uses artificial intelligence (AI) and natural language processing (NLP) to understand customer intent and deliver contextualized, real-time solutions. This not only speeds up service but also creates more natural and effective interactions.

Banks have integrated conversational banking across various channels to make the experience more accessible and seamless:

  • Mobile apps: In-app chatbots that help answer questions and manage transactions.
  • Websites: Virtual assistants that guide users and provide support during navigation.
  • Instant messaging platforms: Use of WhatsApp, Facebook Messenger, and other channels to engage with customers.
  • Voice assistants: Compatibility with devices like Amazon Alexa and Google Assistant for voice-command queries.

Thanks to this integration, conversational banking not only improves communication—it also helps banks anticipate customer needs.

Global Expansion of Conversational Banking

Conversational banking has seen significant global growth, driven by technological advancements and the increasing digitalization of financial services.

According to a study by Juniper Research, the banking sector has saved over $7.3 billion thanks to chatbots. This impact comes from conversational banking’s ability to automate repetitive tasks, reduce reliance on call centers, and provide 24/7 support without raising operating costs.

Around the world, many financial institutions have developed advanced virtual assistants and chatbots to strengthen customer relationships and improve operational efficiency. Some of the most notable examples include:

United States:

  • Erica, launched by Bank of America in 2018, has surpassed one billion customer interactions and offers services such as financial overviews, rewards notifications, and spending summaries.
  • Eno, Capital One’s virtual assistant, provides balance updates, transaction alerts, and credit card management.

Europe:

  • BBVA developed Blue, a conversational assistant that helps customers manage their accounts and provides personalized financial advice.
  • HSBC introduced Amy, a chatbot that supports users in navigating banking products and services.

The growth of conversational banking highlights its potential to boost efficiency, lower costs, and deliver a more seamless, personalized experience in the financial sector. However, adoption varies by region, depending on factors such as digital infrastructure, regulation, and user trust in the automation of banking services.

Conversational Banking in Latin America

Conversational banking is rapidly expanding in Latin America, fueled by digitalization, increasing internet access, and widespread use of mobile devices. While adoption in the region isn’t as advanced as in markets like the US or Europe, financial institutions are increasingly implementing conversational solutions to enhance customer service and improve operational efficiency.

Several key factors have accelerated the adoption of conversational banking across the region:

  • High internet and smartphone penetration: In Mexico, for example, 71% of the population had internet access in 2022, and that number is expected to reach 94% by 2028.
  • Demand for faster, more accessible financial services: Customers are looking for quick, personalized assistance, which has pushed banks and fintechs to invest in conversational tools.
  • Fintech and neobank innovation: Startups like Nubank have shown the power of digital banking and the value of conversational channels in attracting and retaining customers. Nubank, for instance, has surpassed 100 million users across Brazil, Mexico, and Colombia.
  • Investment in AI and NLP: Financial institutions are beginning to adopt advanced technologies to improve chatbot understanding and responsiveness.

Here are some examples of how conversational banking is developing in the region:

  • Brazil: Institutions like Bradesco, Banco do Brasil, and Itaú Unibanco have launched AI-powered chatbots to support customers and automate transactions.
  • Mexico: Banks have integrated chatbots into their mobile apps to speed up inquiries and deliver automated financial advice.

While conversational banking adoption in Latin America is still evolving, its steady growth is set to transform the way customers interact with financial institutions in the region.

Benefits of Conversational Banking

Conversational banking has changed the way customers interact with their banks by offering a faster, more accessible, and more personalized experience. Its implementation has not only enhanced customer service but also improved internal processes within financial institutions, enabling more efficient management and significantly reducing operating costs.

Benefits for Customers

  • Instant support and 24/7 availability: Customers can get help or carry out banking tasks at any time, without being limited by branch hours.
  • Interaction through familiar channels: The ability to communicate with the bank via platforms like WhatsApp or Facebook Messenger increases accessibility and convenience.
  • Personalized experience: Artificial intelligence adapts responses based on user profiles and behavior, offering tailored recommendations and solutions.
  • Greater security and control: Biometric authentication and identity verification built into virtual assistants enhance security for transactions and inquiries.

Benefits for Banks

  • Lower operating costs: Automating inquiries and transactions reduces the workload on call centers and branches, optimizing resources.
  • More efficient customer communication: Conversational banking streamlines interactions, ensuring quick and accurate responses.
  • Higher customer loyalty and engagement: By delivering a smooth experience tailored to customer needs, banks strengthen relationships and reduce churn.
  • Real-time data analysis: Collecting and analyzing interactions helps improve decision-making and deliver products and services better aligned with customer needs.

Technologies Powering Conversational Banking

Conversational banking is much more than a chatbot answering questions. Its true value lies in the combination of technologies that enable real-time interactions that are smooth, secure, and personalized. These innovations allow banks to improve communication with their customers, enhance the user experience, and lower operational costs.

The core technologies that make it possible include:

  • Artificial Intelligence (AI) and Natural Language Processing (NLP): These enable virtual assistants to understand the context of conversations, interpreting user intent beyond simple text commands.
  • Machine Learning and transactional data analysis: These tools analyze customer behavior to personalize interactions, providing recommendations and solutions tailored to individual needs.
  • Integration with banking APIs: This allows chatbots to connect with the bank’s internal systems, so customers can complete transactions and inquiries without leaving the conversational channel.
  • Real-time notification orchestration and communication: This ensures alerts and messages are delivered at the most relevant moment, driving more effective interactions.

At Latinia, we help banks strengthen their conversational banking strategies through our Real-Time Decisioning (RTD) software. Our Next Best Action (NBA) engine analyzes transactions in real time to send personalized notifications at key moments, improving communication and optimizing the experience across conversational channels.

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In addition, our Partner Program connects banks with providers specialized in conversational banking solutions, such as Auronix, making it easier to integrate advanced chatbots and deliver a truly effective omnichannel strategy.

The evolution of conversational banking not only improves customer service—it also drives operational efficiency. With the right tools, banks can deliver a more intuitive, proactive, and secure experience in every interaction.

Use cases in the financial sector

Conversational banking has revolutionized how banks interact with their customers by streamlining key processes in customer service, security, and transaction management. Its ability to deliver immediate, personalized responses has helped reduce the operational load on call centers and significantly improved the user experience.

Below are the main use cases for conversational banking in the financial sector:

Use Cases of Conversational Banking in the Financial Sector

Is your bank ready to join the growing conversational banking trend?

Discover how Latinia can transform your customer interactions. Contact us today to learn more or request a demo of our powerful real-time messaging solutions.

Categories: Cloud & Tech, Customer Experience

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