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    Application of Conversational AI for Payments

    • November 23, 2023
    • 4 min

    Now that we've reached an age when contactless payments are possible using NFC technology or by scanning a barcode, the sector keeps moving for further innovation. Integrating AI in financial transactions is transforming the whole customer experience, from shopping to budgeting.

    This blog will explain the potential of Conversational AI in the field of payments and serve as a resource for anybody interested in the topic, whether they are company owners looking to boost customer happiness and want to integrate OpenAI tools or consumers curious about the newest developments in financial technology.

    Two types of Conversational AI

    In today’s digital world, clients may communicate with companies by text and voice with little human involvement. Conversational AI in the payments business is aimed at both groups in order to streamline the payment process and improve the user experience.

    Businesses are interested in using AI in payments as an alternative to more conventional payment channels. It may be programmed to do a variety of financial tasks, such as providing advice by budget management, ensuring transactions, fraud analysis, etc. The conversational AI environment for payments is better with Voice and Text working together. Let’s understand in detail.

    Payments through Conversational Voice AI

    The process of making a payment using just one’s voice is very similar to that of using a digital wallet or any other kind of digital payment. Conversational AI in payments is similar to traditional methods, except that consumers will command their devices to begin the transaction by speaking to them.

    A transaction confirmation page will appear in the app, requiring the user to authenticate with a fingerprint scan or password. The transaction will then be settled.On the flip side, the recipient will be alerted by SMS, email, or in-app notification of the sum they have received.

    The ability to make purchases just by speaking a command is a natural progression of the voice assistant revolution initiated by Siri, Google, and Alexa. After asking the devices inquiries about the weather, making reservations, and playing tunes, the voice-powered user base is progressively heading towards the potential to perform transactions on the fly.

    But there are some concerns too. The absence of security is a major factor preventing the widespread use of voice-based AI for digital payments. Users worry about artificial intelligence payment fraud since they just have to tell the app to make a purchase rather than input their biometric data twice and then an OTP. Lack of comprehension of accents and speaking styles is another barrier to the visible influence of conversational AI on payments.

    Payments through Chatbot

    Most existing chatbots are rule-based, meaning they only comprehend part of a conversation and can only respond to predetermined questions. To provide more tailored, lifelike encounters, conversant AI in the payments sector makes use of sophisticated machine learning, NLP, and context.

    Thus, chatbots’ strengths lay in their speed of response, ease of use, and less need for development, conversational payments’ strengths lie in their capacity to answer more complicated questions, scale well, learn over time, and integrate with other systems with little work on the part of the business. Many problems with the customer service provided by older chatbots that rely on untrained, unstructured data can now be addressed by these newer ones.

    Use-cases of AI for Payments

    Chatbots and voice-activated systems are only two examples of how conversational AI is improving the user experience throughout the checkout process. Users may now make transactions, check account balances, and even get tailored financial advice using natural language conversations. This not only improves the user experience but also makes it easier to do financial activities.

    Conversational AI plays a critical role in enhancing the safety of financial transactions via fraud detection and other security measures. AI uses machine learning techniques to monitor user activity in real-time in order to spot outliers and flag possible cases of fraud. Thus, it improves the security of monetary transactions, giving consumers peace of mind about the safety of their accounts.

    Using data analytics and machine learning, AI may provide consumers with customized advice on how to manage their finances and suggestions on how they can save money. Artificial intelligence (AI)-powered systems may provide personalized suggestions by analyzing user preferences and financial history.

    Voice-driven AI can cause a stir in the payments industry by letting customers make purchases by just speaking to their devices. Voice-activated payments provide a hands-free and quick option for transferring money, paying bills, and making purchases, appealing to consumers who desire a more intuitive and natural connection.

    Users may conduct monetary transactions without leaving their chosen communication channels thanks to Conversational AI’s incorporation into popular messaging platforms. This integration improves the ease and promptness of monetary transactions, from transferring money in a conversation to getting payment notifications without any disruptions.


    Conversational AI has a lot of applications for payments, and the uses we’ve talked about are just a few. With technology always getting better, we can look forward to even more advanced apps and services that will make doing business online even better.


    What is conversational AI?
    It focuses on creating systems that can understand, interpret, and respond to user inputs in a way that simulates human conversation.
    How conversational AI work?
    It operates through a combination of natural language processing (NLP), machine learning (ML), and in some cases, speech recognition.
    What is an example of conversational AI?
    A common example is a chatbot on a website or messaging platform. For instance, a banking chatbot can assist users in checking their account balances, transferring funds, or answering frequently asked questions.
    What is the top challenge to using AI in banking?
    Concerns about ethics arise when AI is used, including unfair decisions and job loss. Banks must make sure that their AI systems are open, fair, and neutral.
    How does AI help in banking?
    From improving security measures to providing personalized services, AI is a catalyst for positive change in the financial industry, benefiting both financial institutions and their customers.

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