The Role of Artificial Intelligence in FinTech Software Development

The term “financial technology,” or FinTech, was used to refer to the digitization of the backend systems. As of now, Artificial Intelligence in FinTech technology focuses on consumer-focused services in personal and business finance.
FinTech is no longer about banks and other financial institutions. It influences other industries like education, nonprofit fundraising, investment management, retail banking, and many more.
Businesses and consumers are managing their financial operations more safely and effectively thanks to advanced FinTech software apps. Additionally, the web and mobile capabilities of FinTech applications are being scaled up to the next level. By the incorporation of cutting-edge technologies like Blockchain, AI (Artificial Intelligence), and ML. The primary forces behind the financial technology revolution are FinTech development companies, particularly those that focus on developing innovative technologies.
Together, finance and technology are creating innovative business solutions and assisting financial service providers in offering better customer service. All of this is made possible by the integration of technologies like blockchain, AI, biometrics, eCommerce, and many more. They can increase productivity when used individually or in tandem, facilitating easier interactions with clients, employees, or suppliers.
FinTech innovations streamline business processes by combining many software applications into a single, completely digital ERP (Enterprise Resource Planning) solution. The financial technology industry has experienced tremendous growth in recent years, transforming the traditional ways of conducting financial transactions. One of the key driving forces behind this transformation is the rapid advancement of Artificial Intelligence (AI). AI is reshaping the way FinTech software development is done, and its role in the industry is becoming increasingly significant.
The traditional financial industry has been dominated by humans and paper-based processes, which were often prone to errors and fraud. The advancement in Open AI has enabled FinTech companies to develop software that can automate. It optimizes complex financial processes, providing faster & more accurate results.

AI-powered FinTech software

As the technology advances, Chat GPT is expected to evolve in the following ways:It can analyze vast amounts of data and detect patterns that would otherwise be missed by human analysts. This ability is particularly useful in fraud detection and prevention. AI algorithms can quickly identify suspicious transactions and alert authorities to take necessary actions.
Artificial Intelligence AI algorithms optimized in credit risk analysis evaluate borrowers’ creditworthiness and assess the risk of default. This is done by analyzing an individual’s credit history, income, debt-to-income ratio, and other relevant factors. AI can quickly and accurately provide insights into credit risk, enabling lenders to make informed decisions and reduce the risk of bad debt.
AI-powered chatbots like Chat GPT 4 and virtual assistants are transforming customer service in the financial industry. The bots can answer customer queries 24/7, provide personalized financial advice, and even process transactions. It saves time and money for customers and businesses. The chatbots use natural language model processing and machine learning algorithms to understand and respond to customer inquiries, providing a more convenient and efficient customer experience.
Custom AI solutions have simplified investment and portfolio management. The software can quickly analyze market trends and provide insights into investment opportunities. AI-powered trading algorithms can execute trades based on pre-set parameters, reducing the risk of emotional or irrational decision-making.
Overall, AI’s role in FinTech software development has been transformative. It enables companies to develop faster, more accurate, and more efficient financial solutions. As advancements in AI technology are going strong, we can expect to see even more innovative FinTech products that will transform the financial industry.
Use Case:

FinTech custom software development and mobile app development to automate advisor commission calculation

In the development of FinTech custom software development and mobile app development powered by Artificial Intelligence to automate advisor commission calculation & digitizing FinTech. The goal is to have flawless technology that supports the overall commission model. The team behind the project aimed to shift from manually handling all the data to digitally organizing data. The objective was to adapt to a solution that would make lives easier and create a centralized platform.
The overall idea is to introduce the concept to people without any friction throughout the process.
Our data visualization services delivered intelligent quality solutions for data analytics to be presented in neat graphic representation. The FinTech project was developed to predict the order pipeline for the advisor along with its real-time pay run cycle. Our dedicated financial software developers ensured all security measures to successfully implement privacy.
The scope of work includes
Implementing a cloud-based highly functional CRM (Customer Relationship Management) system that can be easily used by admin to manage advisors. Calculate their commission weekly & provide weekly pay slips to advisors with introducers’ calculations.
Our Approach:

-Architected the platform as an Azure-based solution with Azure App Service, Azure SQL, and Azure blob storage forming PaaS (Platform as a Service) infrastructure to keep DevOps costs minimal while meeting business objectives  

– Easy to manage advisors, allow for management rate of each advisor 

– Implemented Dashboard to review commission paid/gain monthly, Advisor wise selling, and Protection wise selling.  

– Implemented monthly report to be easy to download and analysis on business objectives 

– Automated weekly Pay run calculation in a system with sending pay slips to advisors. 

– Automated Clawback calculation 

– Automated differed pay, carry forward payment as per business objectives.  

– Allow advisors to log in and see their pipelines 24 * 7. 

Technologies Used
Microsoft Azure – App Service, Function Apps, SQL
Framework – .NET Core
Language – C# .NET
There is an extensive list of top FinTech development companies. But it is important to choose which one is right for you and with whom you should partner.
Connect with HypeTeq if you are searching for a FinTech software development company. The business complies with all criteria essential for the development of a high-end FinTech application. To provide the best user experience and security with its FinTech software development services. HypeTeq’s FinTech developers aim to leverage emerging technologies like Blockchain, IoT (Internet of Things), AI (Artificial Intelligence), and ML (Machine Learning).




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