“By Marga García, responsible banking sector in Babel”
I had the opportunity to participate in the design and implementation of one of the first internet banks in Spain. Since then, I have lived in the first person two decades of bank transformation. I have worked in the design of multichannel offices, in the expansion of digital self -service, in the orchestration of hybrid care models, and in countless debates on how to make the bank more simple, closer, closer, more efficient and human. And yet, for the first time in many years, I have the feeling that something really different is happening. The arrival of natural language as a relationship interface with the bank is not another evolution. It is a break.
Now, customers can talk to the bank as they would with a person: with their words, without following predefined paths, without having to know what button you have to click. Just say “I want to save more this summer” or “Why have this commission charged me?” To obtain a contextual, contextual, proactive and actionable response. And this changes everything.
It is not just a technological issue. What is at stake is the relationship model. This new way of interacting affects four essential dimensions for any entity: business, channel, technology and client.
From the business, the impact is clear: if customers interact more often, with less friction and in more natural times, the ability to detect needs, anticipate problems, offer solutions, grows. A more fluid relationship translates more value generation opportunities, especially when artificial intelligence allows customizing products and services with unpublished precision.
From the channel, it is the opportunity to finally build a real omnicanal experience. Natural language becomes the “conductive thread” between channels. A conversation initiated in the app can continue by voice and end at a branch, without the need to repeat data or explain the problem again. The important thing is no longer the channel, but conversational continuity.
From technology, the challenge is ambitious but stimulating. It requires redesign architectures, integrate models of generative, connect the conversational world with the bank core and maintain control over data and decision. It also implies investing in observable, scalable and safe platforms, capable of evolving quickly and with clear ethical criteria.
And from the client, the difference is huge. Because it reduces digital anxiety, eliminates cognitive barriers and allows anyone to access complex services in a simple way. It’s not just about operating faster. It is about feeling that the bank listens, understands and accompanies.
There are real examples that already point to this model. A financial entity with a strong retail base and clear digital vocation has recently relaunched its mobile application by integrating an assistant based on generative. This is not a chatbot to use, but an intelligent point of contact that interprets natural phrases, responds with context and gives continuity between channels. It even incorporates a function of “financial coach” that rewards good habits.
The impact is already perceived: greater recurring use, more interaction with purpose, greater conversion of latent opportunities. And above all, a renewed perception of closeness and accompaniment.
Now, for this transformation to be real and scalable, strategic decisions are needed. In my experience, there are at least four:
First, integrate natural language as a transverse layer in all channels, not as an isolated experiment. The coherence of tone, message and continuity is key.
Second, redesign contact points not as functional flows, but as conversations based on intention. New profiles arise: conversation designers, computer linguists, behavior experts.
Third, activate cultural change at all levels. This implies forming managers, changing quality metrics (resolution time to relational value), and assume that the channel is no longer a digital counter, but a space where link is built.
And fourth, review the technological architecture with vision of the future: bet on modular, open, governable, and designed platforms to adapt to continuous learning.
For years, the bank has wondered: in which channel does the client want to be? Today, the question is another: how does the customer want to talk to me? How can I respond with intelligence, empathy and relevance, at the right time and with the precise tone?
The answer is not in one more technology. It is in a new way – more human and more natural – to build trust. And in a business like the bank, that changes everything.