Fintech investor Artem Lyashanov sees AI integration not only as a means of cost optimization, but as a basis for building trust between the client and the technology. In his opinion, the main role of AI in 2026 is to create predictive systems that act proactively.
AI is radically transforming key areas: from credit assessment and fraud prevention to algorithmic trading and personalized consulting. The use of elements such as natural language processing (NLP) and machine learning (ML) allows financial institutions to obtain ultra-accurate forecasts and optimize transactions in real time. In addition, generative AI is becoming indispensable in the preparation of analytical reporting, reducing data processing time by tens of times.
How AI is transforming the Fintech landscape
The expert notes that the main value of AI lies not in the speed of calculations, but in the ability of systems to adapt to user needs in real time. Let’s consider the key areas where this transformation is most noticeable:
- Rethinking credit scoring
Traditional credit assessment models often leave millions of people behind due to limited criteria. AI-based models use alternative data sources: transaction history, utility payments and even digital behavior patterns.
“This allows us to make financial services more inclusive. We give a chance to get a loan to those who have a stable income but do not have a classic credit history.”
Artem Lyashanov
- Fraud detection
AI models analyze transaction patterns in real time, instantly identifying anomalies. Unlike the static systems of the past, modern AI learns from each new fraud attempt, creating a dynamic shield around the user’s assets.
- Investment Personalization
Automated advisors provide personalized portfolio management recommendations with minimal human intervention. This makes professional wealth management accessible not only to large corporations, but also to retail investors.
- Algorithmic Trading
AI models analyze huge data sets to predict market fluctuations and execute trades at the most profitable moments. This provides liquidity and accuracy that are impossible with manual trading.
Artem Lyashanov emphasizes that the combination of these technologies creates a seamless experience for the client:
“In 2026, the winner will not be the bank with the most branches, but the one whose AI imperceptibly protects the user from fraud, offers a better credit limit, and automatically saves money for investments.”
How do fintech companies protect your data?
The success of any fintech company today rests on technological data protection, socio-economic impact and strict compliance with regulatory norms. Without the right balance between these aspects, it is impossible to build a sustainable business in 2026.
To minimize risks, leading market players are implementing multi-layered protection tactics:
- End-to-end encryption;
- Biometric authentication;
- The use of decentralized platforms increases the transparency and immutability of transaction records.
Artem Lyashanov emphasizes that technical protection is not enough without user participation:
“We can build the most technological fortress, but it will be vulnerable if the user does not adhere to basic cyber hygiene. Security in fintech is always a two-way process.”
The global vector of Ukrainian fintech
The Ukrainian startup ecosystem today demonstrates amazing adaptability. The combination of technical expertise in the field of AI and the strategic vision of investors creates conditions under which local projects become competitive at the global level. Within the framework of venture capital Ukraine, special attention is paid to startups that do not simply automate processes, but create new added value for society.
Artem Lyashanov believes that the future of the industry is based on a model where technological power is combined with a social mission. In his opinion, the development of services such as bill_line is an example of how technology can support small and medium-sized businesses, which are the backbone of the economy.
The integration of AI into fintech solutions has another important dimension, which is inclusiveness and support for communities. The expert highlights several key aspects of this association:
- Support for micro-entrepreneurship;
- Charity;
- Popularization of knowledge about AI and financial literacy among entrepreneurs.
“Innovation in the financial sector should not exist in a vacuum. When we implement intelligent scoring or big data analytics, we are actually creating tools for the sustainable development of all entrepreneurship. This is the highest level of digital business transformation, when technologies work for the well-being of each individual and community.”
Artem Lyashanov
For those who want to delve deeper into the topic and understand the mechanics of these changes, we recommend reading the material. The expert analyzes in detail the cases of implementing AI solutions that are already shaping new standards for the Ukrainian and global markets.
