How AI in FinTech is changing the way businesses thrive (2024)

Artificial intelligence (AI) continues to integrate seamlessly into every aspect of the financial sector as a catalyst for innovation. But how exactly is AI impacting financial technology, and how can AI in FinTech reshape how businesses excel?

Considering the projected market size of artificial intelligence in FinTech to soar above 50 billion U.S. dollars by 2029, the financial industry is scratching the surface of a lucrative future.

Now, innovations such as ChatGPT and Gemini continue to shape the future for the average Joe, but what about their adaptation to businesses and industries?

In contrast, pioneers of industries and visionaries are looking to AI and its endless potential for advancement. Aimed at better understanding customers, analysing emerging trends, and automating operations, keep reading to find out everything you need to know about AI and FinTech.

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Understanding the impact of artificial intelligence in FinTech

Being no stranger to future-forward tech and systems, with the advent of AI, the financial industry is perfectly positioned to benefit from what can only be called a game-changer. But what exactly does that look like?

Impacting more and more sectors within the financial industry, AI applications in finance are transforming how finances are managed, invested, and interacted with. Beyond these separate functions, AI is also speeding up an industry-wide synergy. This not only aims to streamline traditional processes but also to introduce groundbreaking new financial management capabilities.

What was once assigned firmly to the realm of science fiction, let’s dive into how AI is influencing modern financial technology, definitely proving to be more fact than fiction.

Enhanced customer data analytics

Customer data analytics is one of the foundational elements within the financial sector, and unsurprisingly, AI is already revolutionising the field. Using predictive algorithms, artificial intelligence in FinTech is being utilised to:

• Identify spending habits
• Track financial transactions
• Predict future financial behaviour
• Create personalised financial recommendations

Harnessing AI’s endless potential, the financial industry can process and analyse enormous datasets and improve its forecasting of future market trends. That said, how are FinTech firms and the larger industry leveraging this AI asset?

Accurate customer data analysis makes anticipating minor and significant shifts in consumer behaviour, market demand, and economic conditions actionable and accessible. Businesses can use these insights to make more informed strategic decisions.

Beyond this, this foresight leads to developing innovative and on-trend financial products, enhanced targeted marketing strategies, and optimised investment portfolios.

These algorithms also boost the efficiency and quality of market research, trend analysis, and customer surveys. Finally, AI generates multiple results and recommendations in a fraction of the time that more traditional methods require.

AI-enhanced credit scoring models

Artificial intelligence is quickly revolutionising credit-scoring models, which use machine learning to assess a person’s creditworthiness. These models can dissect a broad range of data while incorporating traditional and alternative sources, opening up lending opportunities and improving risk management.

Focusing on more nuanced and dynamic credit risk assessments, AI-enhanced systems and AI FinTech companies tie together a wide range of data points. As a result, companies taking advantage of this expand financial inclusion by providing credit access to underserved segments and reducing lenders’ risk of default.

Data-driven strategic planning

Encapsulating the use of facts, metrics, and statistics, AI is streamlining how the financial tech industry and sector as a whole approach strategic planning and reporting. By taking advantage of AI’s data analysis capabilities, individuals and businesses can make better-informed decisions.

For FinTech companies and the financial sector, AI integration and adaptation allow for easy optimisation of investment strategies. Artificial intelligence also assists in mitigating potential risks, which, in turn, increases profitability and stability.

Utilising these AI-powered features, companies are taking advantage of several benefits which traditional decision-making processes do not offer, including:

• Predictive identification of trends: AI enables financial tech to predict trends and patterns based on large datasets accurately. Doing so delivers valuable correlations that might not get noticed when using outdated tools.
• Improved forecasting: AI efficiently leverages historical data and innovative algorithms, increasing the accuracy of market forecasting and trend predictions.

• Enhanced objectivity and accuracy: Effective data-driven decision-making relies on specific data, essential metrics, and accurate facts. AI eliminates potential bias and subjectivity that stem from human decision-making.

• Advanced personalisation and customisation: Integrated into customer databases, AI can access individual data, enabling advanced, personalised experiences. This enhances customer satisfaction and fosters loyalty.

• Scalability: Artificial intelligence scales effectively to process expansive datasets and intricate scenarios. At the same time, AI is adaptable to different business sizes and industries.

• Improved cost and time efficiency: Drawing from various datasets, AI streamlines decision-making at a reduced time with minimal effort. This simplified analysis enhances efficiency, which leads to cost reductions, savings, and resource optimisation.

Marketing & automation

Customer engagement has become a significant focus point in the age of AI, and improving it is a primary goal of much of artificial intelligence’s integration efforts into FinTech. AI is making the automation of marketing campaigns commonplace.

But beyond this, AI’s capability to segment customers based on continuously growing datasets rapidly changes customer engagement into a more personalised experience.

Does AI’s involvement end there? Depending on your business model, AI integrates according to your allowance. Companies that place their bets on AI for marketing and automation, though, do reap the following rewards:

• Personalised marketing messages: AI-powered systems can deliver distinct, personalised marketing messages directly to individual customers, which increases engagement and conversion rates.
• Enhanced customer acquisition: By implementing adaptive algorithms, AI can quickly identify potential customers with a high likelihood of conversion. This makes targeting promising leads through focused marketing efforts simpler.
• Improved customer retention: Using AI-driven customer segmentation, the financial industry can tailor customer experiences down to the smallest detail. The result? Increased loyalty and growing customer retention rates.

Cost reduction and workload optimisation

Quickly becoming a championed tactic to reduce costs, AI within FinTech allows companies to automate routine tasks and reduce workload strain. According to a recent report by McKinsey, 44% of businesses adopt AI to lower costs, feeding into the expansion of artificial intelligence.

Being able to save on resources, labour costs, and capital, AI-powered solutions eliminate the need to rely on time-consuming traditional methods.

Considering AI’s ability to answer most customer queries, customer service teams can focus on more pressing issues and allocate resources accordingly. AI provides tailored insights within administrative offices that can prevent illegal or fraudulent activities.

Chatbots & robo-advisors

Further tiptoeing the line between science fiction and reality, AI-driven and powered chatbots and robo-advisors progressively redefine personal finance and customer experience.

These nifty little bots are becoming smarter and quickly making themselves indispensable as digital assistants. Being able to respond to any immediate request, these artificial advisors can provide user support, guidance on financial operations, and advice on financial services.

Already boasting an impressive range of abilities, robo-advisors also assist with drafting savings plans, giving insights on expenditures and deposit options. Although these customer-oriented solutions are mobile or web applications, the AI that drives them is integrated into more complex online systems.

With an increasing number of AI-powered chatbots worldwide, the landscape of these artificial assistants is thriving locally. Integrated into the Netcash Merchant system, “Charlie” is available 24/7 and can instantly answer or resolve customer queries.

In cases where Charlie is trying to figure out how to solve a problem, he can also seamlessly direct customers to relevant resources in the Help Centre. AI-driven robo-advisors, like Charlie, are increasing customer engagement while refining the overall customer experience.

Advanced customer service

Considering that chatbots and robo-advisors are already massive players (albeit digital) in the modern financial technology industry, where does the future take these industrious virtual helpers?

OpenAI recently revealed that it values the virtual assistant tech at more than $1 billion as of the end of 2023. Great. Why is this important, though? This statement proves that the driving forces behind AI and its advances will continue to utilise funding to improve chatbots, among other features.

Innovative elements such as “pre-trained transformer language models” and “reinforcement learning from human feedback (RLHF)” are both aspects of what the new iterations of robo-advisors will draw from.

In the real world, the increased use of virtual assistants and advisors will benefit consumers and businesses in FinTech. For customers, these assistants solve problems anytime, anywhere, and in (almost) any language.

For businesses, these revolutionary bots make budget allocation within customer service departments more flexible and less employment-focused.

Personalised offers and recommendations

In addition to improving customer service, AI is progressively changing how businesses engage with customers long before they reach the after-sale or service phase. As AI becomes more familiar with analysing spending habits and trends, it can tailor user experiences like never before.

Customised promotions, discounts, and payment options broaden customer engagement as a business metric, allowing for more in-depth consumer data analysis. This, in turn, means FinTech businesses can drive sales thanks to improved customer loyalty.

Enhanced risk management

Beyond AI’s continued presence in financial security, artificial intelligence is poised to revolutionise risk reporting, assessment, and management.

Progressively employed to analyse a broad range of data, AI can more quickly, accurately, and efficiently assess and mitigate risks, regardless of department. Behind the scenes, machine learning models are advancing rapidly, resulting in improved market trend predictions.

FinTech businesses can rely on improved credit risk evaluations to help financial institutions make better-informed decisions, reducing potential losses. This enhanced risk management broadens financial inclusion based on exceptionally accurate data analysis.

Automated reconciliation

Taking advantage of effective financial management systems driven by AI, the financial technology industry branches well into day-to-day operations. Artificial intelligence is evolving everything from subscription payments to payment reconciliation, continuing the push for automation.

Having served its purpose, manual financial reconciliation is quickly becoming a thing of the past, with companies adopting AI-powered alternative solutions. Beyond saving on resources and costs, these automated reconciliation efforts eliminate possible human error while cutting the results-delivery time by hours.

Streamlined payment processing

Bolstering efforts to improve data-driven decision-making even further, looking ahead to AI’s integration into finances, specifically payments can reshape this foundation of the finance world.

With the advent of artificial intelligence, FinTech companies can expect unrivalled, streamlined payment processing backed by in-depth, data-driven insights. Evolved payment processing delivers various benefits, enhancing transaction speeds and accuracy and improving cash flow.

A redefined shopping experience

Alongside the impact AI is having on FinTech, it’s almost impossible not to mention the integration of pioneering technology in the global shopping experience. Thankfully, we don’t need to imagine what this would look like, as many brands are already embracing the “phygital” concept.

International giant, Nordstrom, has recently piloted a live video shopping feature, where customers can see products in real-time to gauge functionality and need. Other examples include British retailer Marks & Spencer, who have introduced guided AR assistance that presents a digital map directly to the product customers are after.

And, finally, a champion of the phygital landscape, Starbucks, has been using its dedicated mobile app to deliver tailored recommendations to users based on seasonality and personal preference.

Embrace the “Age of AI” and raise the bar | FinTech and AI wrapped up

FinTech and AI seemingly look to be working hand-in-hand to revolutionise the entire financial industry. Knowing the theory behind the innovative push at the core of the adoption and application of AI in finance is one thing, but the practical side remains a daunting challenge.

In the endless pursuit of convenience, why not partner with a pioneering, on-trend, innovative payments and finance expert?

Utilising tailor-made AI solutions to meet customers’, businesses’, and merchant needs, Netcash bridges the artificial intelligence renaissance gap, making integration into your company effortless. Contact one of our in-house experts and embrace the Age of AI today.