The Technological Foundation of Invisible Banking
The shift toward invisible banking is powered by a suite of advanced technologies that enable seamless integration, personalization, and security:
Open Banking APIs
API is the "connective tissue" that makes invisible banking possible between banks and other fintechs as well as digital engagement. These services allow for interaction between apps and platforms in the background without end-user awareness—which means banking can happen in shopping apps, in ridesharing apps, and more without the consumer even knowing.
For example, APIs in the real world allow banks to share data and services with non-banking institutions securely. Therefore, a retail app can call upon banking APIs to offer customers lines of credit at the point of sale on the checkout screen.
Artificial Intelligence (AI) and Machine Learning (ML)
Artificial Intelligence and Machine Learning are the foundations of invisible banking. They provide the intelligence that banks need to predict and provide financial services preemptively and on demand. Banks rely upon AI and ML to analyze information from consumer spending patterns to larger economic trends. AI can anticipate, for instance, after looking at someone's buying history, that someone may need to save and then transfer funds to a savings account, suggest investing, or even flag a questionable transaction.
Such anticipation is made clearer through machine learning models that change over time based on each person's unique interaction beforehand, reacting afterwards with a tailored, contextual response.
Internet of Things (IoT)
The Internet of Things converts devices into mechanisms. A device accessed often becomes a banking portal; it connects and allows the action to be done without explicit awareness. IoT connects devices to one another and back to the origin; a smart refrigerator, for example, orders more milk when it realizes it's low, or it sees someone ordering or buying milk via another IoT-connected device—their car at the gas station.
For example, ING's FINN-Banking of Things exists within this IoT reality, too. The incentive to use it more—because it can bill on its own—means that a bank has an invisible yet present opportunity for its users to pay for whatever's in situ.
Voice Interfaces and Natural Language Processing (NLP)
Voice interfaces are one method through which invisible banking is made accessible and seamlessly absorbed, all through natural language processing (NLP). Whether it's an Amazon Alexa or Google Assistant at home or a chatbot at one's bank, all one has to do is verbally request, access, transfer funds, see a balance, or inquire about available banking services.
5G Networks
5G Networks 5G delivers supercharged, low-latency access to the unseen world of banking and fulfils the urgent need for continuous financial engagement. 5G's capabilities allow for data-intensive enterprises—in-app instant payment, AR banking promotions, AI-derived forecasting—to run glitch-free and enhance the experience since there are no holdups.
Biometric Verification
Biometric verification is integral to invisible banking, providing seamless and secure financial interactions. Unique biological markers, such as fingerprints, facial recognition, and eye scans, replace traditional methods like passwords, creating a frictionless and secure user experience.
Voice commands and biometrics streamline processes further. Transactions can be authenticated in moments, whether through a fingerprint scan or facial recognition, reducing the time and effort required for daily financial activities. Biometric verification ensures invisible banking meets these expectations without compromising security.
For instance, BBVA's CepBank application employs eye recognition to authenticate its users—which means no passwords or other authentication devices are required.