Artificial Intelligence Applications in Fintech

Mohit Kanwar | Apr 29, 2024 min read

Artificial Intelligence stands out as a powerful and versatile technology that holds the potential to revolutionize various industries. Among these industries, FinTech emerges as a domain where AI can truly shine and deliver impactful results. The intersection of finance and technology presents a fertile ground for AI applications to streamline processes, enhance customer experiences, and drive innovation.

In the FinTech industry, AI is being harnessed to tackle complex challenges and unlock new opportunities. From fraud detection and risk management to personalized financial advice and automated trading, AI is reshaping the way financial services are delivered and consumed. The ability of AI algorithms to analyze vast amounts of data, identify patterns, and make data-driven decisions in real-time is transforming how financial institutions operate and interact with customers.

Let’s discuss some of them as below

  1. Voice Banking
  2. Behavioural analysis
    1. for fraud detection
    2. for customized offerings
  3. Content generation for user assistence
  4. Tax assistents
  5. Identity verification

Conversational Banking

The advent of smart devices has brought banks closer to their customers through the development of conversational devices like Alexa or Siri. These voice-activated assistants enable users to interact with their banks seamlessly, performing various banking tasks with just their voice commands. This evolution has made banking more accessible and convenient, allowing users to engage in financial transactions without the need to navigate through traditional banking interfaces.

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For instance, a simple voice command such as “Pay the overdue credit charges” can initiate a payment transaction without the user having to open a banking app or log in manually. The underlying AI technology interprets the user’s intent, verifies the user’s identity, and executes the transaction securely and efficiently.

Conversational banking not only enhances convenience for the general population but also provides a significant benefit to differently abled individuals who may face challenges in using traditional banking methods. By enabling voice-activated interactions, banks are ensuring that their services are inclusive and accessible to all customers, regardless of their physical abilities.

Behavioural Analysis

Artificial Intelligence serves as a potent tool for conducting behavioral analysis, leveraging its capability to monitor millions of parameters to discern user behavior patterns. By scrutinizing these behaviors, AI can construct detailed customer profiles that empower banks to differentiate between genuine customers and potential fraudulent activities.

In today’s digital landscape, the ability to identify and authenticate customers accurately is paramount. AI-driven behavioral analysis plays a pivotal role in enhancing security measures and fraud detection within the financial sector.

Moreover, behavioral analysis offers the advantage of tailoring truely personalized offerings to customers based on their unique preferences and behaviors. By gaining deep insights into customer behavior through AI, banks can craft customized proposals that are more likely to resonate with individual customers, fostering a mutually beneficial relationship between the bank and the customer.

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One real-world example of AI-powered behavioral analysis is PayPal’s utilization of AI algorithms1 to detect fraudulent activities by analyzing user behavior patterns and transaction data. By leveraging AI for behavioral analysis, PayPal has enhanced its fraud detection capabilities and improved the security of its platform, safeguarding both the company and its customers from potential threats.

Customer Assistance

The customer support systems of banks and fintech companies often face challenges in providing efficient and personalized assistance to customers. Issues such as repetitive marketing calls and inadequate support when needed can lead to customer dissatisfaction. While the human agents handling customer queries strive to assist, the limitations of manual processes can hinder their effectiveness in delivering timely and relevant information.

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AI emerges as a transformative solution to enhance customer assistance in the financial industry. By leveraging AI technologies, banks and fintechs can address these challenges and provide more effective support to their customers. AI-powered tools can streamline information retrieval, collate data efficiently, and present solutions in a clear and understandable manner, overcoming the complexities of financial processes and terminology.

Some tools that can be utilized for improving customer assistance in the banking and fintech sector include:

Chatbots: AI-powered chatbots can engage with customers in real-time, providing instant responses to queries and offering personalized assistance.

Natural Language Processing (NLP) Tools: NLP tools can analyze and interpret customer queries, enabling accurate and context-aware responses.

Personalization Engines: AI-driven personalization engines can tailor recommendations and solutions based on individual customer preferences and behaviors.

Interactive Visualizations: Tools that create visual representations of complex financial concepts can help customers better understand information.

Voice Assistants: Voice-activated AI assistants can provide hands-free assistance to customers, enhancing accessibility and convenience.

Tax Assistance

Tax filing is a crucial obligation for every earner, and the complexity of tax laws and regulations can often pose challenges for individuals. Artificial Intelligence (AI) emerges as a valuable tool in simplifying the tax filing process and providing assistance to users in navigating through the intricacies of tax forms and regulations.

AI can play a significant role in tax assistance by automating various aspects of tax preparation and filing. By leveraging AI algorithms, users can receive guidance on filling out tax forms accurately, identifying potential deductions, and maximizing tax-saving opportunities. AI can analyze user data, income sources, and expenses to provide personalized tax recommendations tailored to each individual’s financial situation.

In countries like India where multiple tax regimes coexist, AI can offer valuable support in selecting the most beneficial tax scheme based on the user’s profile and financial circumstances. By analyzing user data and tax laws, AI can generate recommendations on the optimal tax-saving strategies and schemes that align with the user’s tax obligations and financial goals.

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Moreover, AI-powered tax assistance tools can help users gather the required documents, minimize errors in tax filings, and set up reminders for important tax deadlines. By automating these processes, AI not only simplifies tax compliance but also enhances the overall tax-filing experience for users, ensuring accuracy and efficiency in meeting tax obligations.

Through AI-driven tax assistance, individuals and corporates can navigate the complexities of tax regulations with ease, optimize their tax returns, and stay informed about relevant tax-saving opportunities, ultimately empowering them to manage their taxes more effectively and efficiently.

Identity Verification

Ensuring secure and accurate user verification is a critical aspect of applications, especially in the financial and banking sectors. Identity management systems must effectively distinguish between genuine users and fraudulent attempts, even in scenarios like differentiating between identical twins, while maintaining a seamless and convenient validation process.

AI technology plays a pivotal role in enhancing identity verification processes by leveraging a multitude of parameters to establish and authenticate user identities. By mapping a user’s photo with identity documents, analyzing facial features, calculating age, and cross-referencing various data points, AI enhances the security and accuracy of identity verification processes, thereby authorizing legitimate users to access banking applications securely.

The incorporation of multiple parameters such as voice recognition, facial biometrics, geolocation data, address verification, document validity checks, age verification, device locations, and behavioral analysis strengthens the identity verification process. By utilizing these diverse parameters, AI can create a comprehensive digital fingerprint unique to each user, enhancing the robustness of identity verification and ensuring a high level of security.

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The more parameters involved in the identity verification process, the higher the level of security and accuracy achieved. AI-driven identity verification not only enhances security measures but also streamlines the user authentication process, offering a seamless and reliable experience for users accessing banking applications and financial services.

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