Top 10 Ways To Use Artificial Intelligence To Grow A Fintech Company (With Examples)

Artificial intelligence (AI) has emerged as a critical driver of innovation in the fintech sector.

From streamlining processes to enhancing decision-making, AI offers financial institutions and technology providers the tools to improve efficiency, accuracy, and customer experiences.

With applications spanning fraud detection, personalized financial services, and risk management, AI continues to redefine how financial technology evolves to meet the demands of businesses and consumers alike.

In this article, we’ll explore ten prominent ways AI is transforming fintech, highlighting practical use cases and examples of companies that illustrate its growing impact.

How Euvic Drives AI Innovation For Fintech Companies

At Euvic, we specialize in turning ambitious fintech goals into practical, results-driven solutions. With over 6,000 highly skilled engineers, primarily based in Poland—a top global destination for software development—our teams bring unmatched expertise in AI and machine learning to every project.

Our collaborative approach pairs local U.S. leadership with Poland’s world-class engineering talent to provide seamless integration of AI into your fintech ecosystem. From fraud prevention systems to personalized financial services and advanced data analytics, we’ve successfully delivered over 1,000 projects, driving efficiency, accuracy, and growth for our clients.

Here are a few ways we help fintech companies:

• AI Integration Expertise: From predictive analytics to conversational AI, we deliver scalable solutions tailored to your fintech challenges.
• End-to-End Service: With 100+ specialized teams, we handle everything from strategy to deployment.
• Cost-Efficiency: Our Smart Delivery Model combines competitive rates with high-quality outcomes, saving you time and resources.
• Proven Track Record: Our 92% retention rate speaks to the trust and success we build with clients.

Ready to redefine what’s possible in your fintech company with AI? Contact Euvic today for a consultation and see how we can help you unlock your fintech potential with cutting-edge AI solutions.

Use Case 1: Real-Time Identity Verification and Fraud Prevention

Socure’s AI-powered platform demonstrates the transformative potential of predictive analytics in verifying digital identities and preventing fraud. By synthesizing data from diverse sources, such as email addresses, phone numbers, IPs, and online activity, Socure enables businesses to authenticate identities in real-time, significantly reducing risk. Its advanced machine learning algorithms adapt to emerging fraud trends, making it a trusted solution across financial services, eCommerce, and government sectors.

What Fintech Problem Does This AI Solution Address?

Digital fraud remains a critical challenge for fintech companies. The growing complexity of identity theft, synthetic fraud, and account takeovers demands sophisticated solutions. Traditional methods often fall short in detecting nuanced fraud signals or validating identities for individuals with limited financial histories.

Socure addresses these gaps by providing real-time identity verification through AI-driven insights. Its platform analyzes data points such as device behavior, velocity patterns, and graph intelligence to distinguish legitimate users from fraudulent actors accurately. This enables fintech businesses to approve more customers while mitigating financial and reputational risks.

Use Case 2: Integrated Financial Reporting with AI

Workiva’s platform exemplifies the use of AI to simplify financial reporting processes for enterprises. By integrating data from multiple sources, Workiva allows teams to automate repetitive tasks, maintain consistency, and produce audit-ready financial reports efficiently. Its AI-driven capabilities include generating management discussion and analysis (MD&A) summaries, identifying discrepancies in data, and drafting structured financial statements, all while maintaining compliance with regulatory standards.

What Fintech Problem Does This AI Solution Address?

Enterprises face significant challenges in consolidating financial data from disparate systems while adhering to ever-tightening compliance regulations. Manual processes for preparing reports and managing discrepancies are prone to errors and inefficiencies, often delaying critical decision-making.

Workiva’s AI-powered platform automates data aggregation, error detection, and compliance checks, addressing these inefficiencies. Its ability to harmonize financial and non-financial data into a single source of truth enhances the accuracy of reports and reduces the risk of errors or misstatements. This automation empowers financial teams to focus on strategic insights rather than manual data management.

Use Case 3: Conversational AI For 24/7 Customer Support

Posh redefines customer service for financial institutions with its conversational AI platform, offering round-the-clock support through voice, digital, and knowledge assistants. These AI-driven solutions handle a wide range of customer interactions, such as answering FAQs, managing account transactions, and routing calls to appropriate agents. By automating routine inquiries, Posh empowers institutions to reduce wait times, minimize operational costs, and enhance customer satisfaction while allowing human agents to focus on complex cases.

What Fintech Problem Does This AI Solution Address?

Financial institutions face the dual challenge of maintaining high customer service standards and managing costs in their contact centers. Traditional support models often struggle with long wait times, high call abandonment rates, and inefficient resource allocation for repetitive tasks.

Posh addresses these issues with its AI-powered assistants, which streamline customer interactions across channels. These assistants use advanced natural language processing (NLP) to understand and respond to customer needs effectively, from balance inquiries to fund transfers. They also integrate seamlessly with existing banking systems, ensuring a smooth customer experience while capturing valuable insights from each interaction to refine future responses.

Use Case 4: Expense Management And Automation

Ramp streamlines financial operations for businesses by automating time-intensive tasks like expense tracking, policy enforcement, and accounts payable processing. By integrating AI with its corporate card and financial software, Ramp offers a unified platform that simplifies workflows, eliminates manual processes, and reduces costs. From coding transactions to monitoring spending patterns, Ramp’s system adapts to user behavior, enabling businesses to optimize their financial practices with minimal effort.

What Fintech Problem Does This AI Solution Address?

Ramp addresses the persistent inefficiencies and financial blind spots that plague businesses of all sizes. Traditional expense management systems often require manual data entry, repetitive reconciliation processes, and reactive oversight of spending. These outdated methods consume valuable time, introduce errors, and increase the likelihood of policy violations and unnecessary costs.

By automating critical aspects of financial operations, Ramp’s AI-powered platform eliminates these inefficiencies. It handles tasks such as receipt matching, transaction categorization, and policy enforcement with speed and accuracy, significantly reducing administrative burden. Additionally, Ramp identifies patterns in spending data to uncover overspending, duplicate expenses, or potential savings opportunities, providing actionable insights that help businesses optimize resource allocation.

Ramp’s approach transforms expense management from a reactive, time-intensive process into a proactive, data-driven strategy, empowering businesses to operate with greater precision and financial discipline.

Use Case 5: AI For Risk Assessment In Financial Services

DataRobot’s AI-powered platform delivers precise risk assessment capabilities by integrating predictive models directly into financial workflows. These models analyze vast datasets in real time, identifying patterns and anomalies that indicate potential risks. For example, the platform can evaluate credit risk by examining factors like borrower behavior, market trends, and external economic indicators.

What Fintech Problem Does This AI Solution Address?

The financial sector often faces challenges in identifying and managing risk efficiently. Traditional models struggle to process the sheer volume and complexity of data required for accurate assessments, leading to inefficiencies and potential exposure to losses. Manual risk evaluation processes can also delay decision-making, impacting the ability to respond quickly to changing market conditions.

By automating risk scoring, DataRobot eliminates reliance on traditional static models, providing dynamic assessments that evolve with the data. The platform also supports regulatory compliance by offering tools for transparent documentation and monitoring, ensuring all risk models are auditable.

Using AI, financial institutions can enhance their decision-making processes, reducing the time needed to assess risk and improving the accuracy of their evaluations. This leads to better credit approvals, optimized pricing strategies, and minimized exposure to fraudulent activities. Additionally, by embedding AI-driven insights across departments, organizations gain a unified approach to managing operational, credit, and market risks effectively.

Use Case 6: Documentation For Financial Lending Decisions

AI is redefining the way financial institutions process documents for lending decisions. Ocrolus exemplifies this shift by automating document processing and offering data-driven insights that enhance credit decision-making.

Ocrolus leverages machine learning and computer vision to classify, extract, and validate data from a variety of financial documents, including bank statements, pay stubs, and tax forms. The platform combines automation with human validation to generate highly accurate data, enabling lenders to assess cash flow and income dynamics with precision. For instance, Ocrolus’ tampering detection algorithms flag potential fraud in submitted documents, providing actionable insights for lenders.

What Fintech Problem Does This AI Solution Address?

Traditional financial document review processes in lending are time-consuming and prone to errors. Lenders often struggle to analyze diverse document formats, leading to inefficiencies, increased costs, and potential inaccuracies in credit decisions. Furthermore, detecting fraud in financial documentation can be challenging without advanced tools.

Ocrolus automates the extraction and normalization of data across disparate document types. By employing AI algorithms, the platform identifies inconsistencies, validates authenticity, and highlights suspicious patterns.

Lenders using Ocrolus report faster processing times, more accurate credit decisions, and improved fraud prevention. The platform’s ability to handle a wide range of document types broadens the scope of potential borrowers, increasing inclusivity.

Use Case 7: Flexible Financing For Tech Payments

AI is transforming financial services by simplifying how businesses manage their technology expenses. Gynger exemplifies this innovation by combining AI-driven insights with flexible financing solutions, helping businesses optimize cash flow while accessing critical technology tools.

Gynger’s platform enables startups and SMBs to access vital software, hardware, and cloud services while spreading payments over several months. For example, a company can finance a one-year software contract, paying Gynger in manageable monthly installments, while benefiting from vendor discounts for upfront payments. The seamless onboarding process, supported by AI, provides credit approvals within 24 hours, empowering businesses to act quickly on their tech needs.

What Fintech Problem Does This AI Solution Address?

Businesses often face challenges balancing technology investments with cash flow management. Large upfront payments for essential software, hardware, and cloud infrastructure strain budgets and reduce the capital available for growth.

Gynger applies AI to streamline financial processes, offering businesses the ability to manage and finance technology expenses through a single platform. Its AI systems analyze payment trends and expense categories to provide flexible payment plans that align with the company’s financial capacity. These solutions allow businesses to pay for technology on their terms without the need for personal guarantees or long-term commitments.

Businesses using Gynger report improved cash flow management and greater access to premium technology tools. Companies also benefit from consolidated monthly payments, which simplify bookkeeping and reduce administrative burdens. Gynger’s AI-driven approach helps reduce costs associated with vendor penalties for late payments while fostering strategic financial planning.

Use Case 8: Intelligent Financial Forecasting With AI

Workday’s platform introduces AI-powered forecasting through its Illuminate™ technology, allowing businesses to analyze multiple financial scenarios simultaneously. The system processes data from disparate sources, consolidates it in real-time, and generates predictive insights tailored to organizational goals.

What Fintech Problem Does This AI Solution Address?

Forecasting financial performance is a critical yet challenging task for organizations. Traditional methods often struggle to process the vast volumes of financial data required to predict future outcomes accurately. These manual or static approaches can leave businesses unprepared for unexpected changes in market conditions, resource demands, or operational shifts.

Workday’s context-aware AI identifies patterns and correlations across transactions, providing recommendations that help finance teams anticipate risks and allocate resources more effectively. With its natural-language interface, decision-makers can refine forecasts or explore alternate scenarios seamlessly.

Organizations leveraging Workday Illuminate™ report enhanced precision in financial planning and faster response times to emerging trends. By enabling continuous scenario analysis, Workday helps finance teams prepare for regulatory changes, mergers, or economic shifts without disrupting workflows. Businesses also experience a significant reduction in time spent on manual forecasting processes, freeing resources to focus on strategic growth opportunities.

Use Case 9: Fraud Detection And Transaction Scoring For Payment Providers

Brighterion AI employs advanced machine learning to deliver precise transaction scoring and fraud detection. Leveraging Mastercard’s global network intelligence, the system analyzes transaction patterns and identifies anomalie. By integrating user-defined rules and smart agents, Brighterion provides dynamic insights tailored to specific payment environments, such as acquirers, PSPs, and digital wallets.

The platform’s modular design supports seamless rule management, enabling payment providers to test and deploy fraud detection parameters without disrupting transaction flows. Additionally, its adaptive algorithms reduce false positives while maintaining high fraud detection rates, ensuring efficient approval processes and secure transactions.

What Fintech Problem Does This AI Solution Address?

Fraud in digital payments is an ever-present challenge for payment providers, acquirers, and financial institutions. The speed and volume of transactions make it difficult to identify fraudulent activities without impacting approval rates or customer experience. Conventional fraud detection systems often struggle with false positives, delayed responses, and limited adaptability to emerging fraud tactics.

Organizations using Brighterion AI report significant reductions in fraud losses, enhanced transaction approval rates, and improved operational efficiency. The system’s ability to process over 150 billion transactions annually with near-instant response times ensures scalability for high-volume payment ecosystems. By combining advanced analytics with intuitive rule management, Brighterion empowers payment providers to protect their platforms while delivering seamless customer experiences.

Use Case 10: Automating Accounting For Complex Organizations

Stampli’s AP automation platform streamlines the invoice lifecycle for multi-entity organizations. Its AI-driven features, including Billy the Bot™, automate invoice capture, coding, and approval routing, while providing real-time communication tools to connect stakeholders directly on the invoice. This approach simplifies workflows and reduces the time spent on repetitive tasks.

Stampli’s integration with popular ERP systems, such as Oracle NetSuite, Sage Intacct, and Microsoft Dynamics, offers seamless data synchronization without disrupting existing processes. Configurable permissions and audit-ready logs provide full visibility and control across entities, enabling finance teams to manage accounts payable more effectively.

What Fintech Problem Does This AI Solution Address?

Managing accounts payable for businesses with multi-entity corporate structures presents unique challenges. These organizations must process high volumes of invoices while maintaining strict control across various entities. Manual AP workflows often result in inefficiencies, delayed payments, and fragmented visibility into cash flow and vendor relationships.

Businesses using Stampli report significant reductions in processing times, freeing up resources for strategic financial planning. By consolidating AP workflows into a single platform, Stampli enhances collaboration, reduces administrative overhead, and strengthens vendor relationships. For multi-entity organizations, this means improved efficiency, better cash flow management, and the ability to scale without adding headcount.

Conclusion: Transform Your Fintech Vision With The Perfect Partner

At Euvic, we combine US-based leadership with the unparalleled expertise of our 6,000+ Polish engineers to deliver customized AI solutions that align with your unique business needs.

With over 20 years of experience and 1,000+ successful projects, we’re here to help you unlock new opportunities, enhance efficiency, and drive superior outcomes.

Ready to explore how AI can elevate your fintech operations? Book a consultation with our experts today and discover how Euvic can turn your vision into a competitive advantage.