Fintech (financial technology) is the group of companies that use software, data and automation to deliver digital financial services: payments, loans, investing and account management from an app, without visiting a bank branch. The sector emerged to remove the slowness and paperwork of traditional banking, and today it attracts more than 310 billion dollars a year in global investment, according to Statista (2024). Artificial intelligence already works inside these financial technologies, assessing credit and detecting fraud in seconds.
What you will get from this article
- The term fintech (financial technology) describes companies that use technology to offer financial services that are faster, more accessible and more digital than traditional banking.
- There are several types of fintech companies: digital payments, neobanks, peer-to-peer lending, personal finance management, cryptocurrencies and automated investing.
- The main difference between a fintech company and a bank is that a fintech is born digital and usually specialises in one service, while a bank covers the full range of financial operations.
- Artificial intelligence and machine learning are already used in fintech to automate credit risk assessment, detect fraud in real time and personalise financial advice.
- In Spain the fintech ecosystem includes neobanks, digital payment platforms and investment startups, and it keeps growing on the back of blockchain, big data and automation.
If you have opened an app to make an instant transfer, apply for a loan from your phone or buy your first cryptocurrency, you have already used fintech. The sector was created to solve a specific problem: traditional banking was slow, expensive and full of paperwork. Fintech companies started from scratch, without branches, and built financial products and services that fit on a smartphone screen. In the sections below you will see what fintech is, how financial technology works step by step, which types of companies exist and what role artificial intelligence plays in each decision.
What is fintech and what is it for?
Fintech is the combination of finance and technology: companies that use software, data and automation to offer digital financial services. The term covers everything from digital payments to automated investing, and its goal is to make finance faster, cheaper and more accessible. If you are interested in professional accreditation in the financial sector, see also this article on EFPA certification.
Using fintech has become part of everyday life because each product removes a specific friction from the old system. A consumer uses it to pay, save or invest from their phone. A startup uses it to get paid by customers in other countries in minutes. A financial institution uses it to modernise internal processes that used to depend on paperwork and phone calls.
The key is specialisation, and it shapes the business models of the whole fintech industry. A bank covers every financial operation at once. A fintech company picks one problem, for example sending money abroad, and solves it in depth. That focus lets it improve the user experience and cut costs, and it is the basis of its differentiation from traditional financial players.
The fintech audience is broad:
- Consumers who want to manage their personal finances from an app.
- Startups and small and medium-sized businesses that need digital collections, payments and accounting.
- Financial institutions that integrate fintech products and services into their operations.
How financial technology works step by step
Financial technology works by connecting data, processing it in the cloud and returning a result to your app within seconds. Behind a simple transfer there is a chain of automated steps that replace the manual work of a branch. According to the Bank for International Settlements (BIS, 2023), instant payment systems now process more than 70 billion transactions a year worldwide, a volume that would be impossible without cloud-based digital infrastructure.
The typical flow of a digital fintech platform follows these stages:
- Data collection via API. The app connects to banks, payment providers or credit bureaus through interfaces (APIs) that share financial information in real time. In Europe, open banking rules require banks to share this data with authorised providers when the customer consents.
- Cloud processing. Servers analyse the operation, verify the user’s identity and check that there are sufficient funds.
- Transaction automation. The system executes the transfer, payment or loan without human intervention, applying predefined rules.
- Delivery in the mobile app. The user receives the confirmation on screen, with the balance updated instantly.
This model makes it possible to automate financial transactions between accounts and between countries. What could take two or three working days in traditional banking, a digital payments fintech resolves in seconds because the entire chain is digital. Modern payment solutions process operations at global scale while reducing the friction of electronic payments, and mobile payment has become a normal payment method in shops and everyday apps.
The role of artificial intelligence and machine learning in fintech
Artificial intelligence and machine learning are used in fintech for three specific tasks: assessing credit, detecting fraud and personalising financial advice. In all three cases, an algorithm analyses large volumes of financial data in real time and returns a decision that used to take weeks.
The contrast is clear. Granting a loan used to mean paperwork, printed reports and weeks of waiting while an analyst reviewed the applicant’s history by hand. Now a machine learning model can bring the assessment close to an answer in seconds by cross-checking hundreds of variables. This automated scoring lets financial technology companies approve operations at a fraction of the operating cost of traditional banking, although the result is not identical every time and borderline cases need human oversight.
These are the tasks where AI tools are applied in financial management:
| Task | Before (manual) | Now (with AI) |
|---|---|---|
| Customer data analysis | Spreadsheets reviewed by hand | ChatGPT and Copilot summarise spending patterns and segment customers |
| Writing risk reports | An analyst writing for hours | Copilot produces an editable first draft in minutes |
| Automating decision flows | Rules reviewed case by case | Power Platform and Azure automate approval against thresholds |
AI does not make the final decision on its own. It personalises advice and speeds up analysis, but a professional reviews the result before approving a loan or closing a fraud case. It also improves customer service: an AI assistant answers frequent questions instantly and leaves complex cases to a person.
Types of fintech companies today
There is no single kind of fintech company, but a fintech ecosystem in which each company specialises in one vertical. Understanding the types of fintech companies helps you see where each product you already use fits. According to KPMG Pulse of Fintech (2024), the payments and digital lending verticals account for more than 60% of global investment in the sector.
The main types of fintech companies, from early-stage fintech startups to established players, are:
- Digital payments. They process collections and payments between people and merchants, including e-commerce, with financial solutions that reduce friction in every transaction.
- Neobanks (digital banks). Branchless digital banks that offer an account, a card and transfers from a single digital platform, and the most visible face of the digital transformation of banking.
- Peer-to-peer lending. Lending platforms that connect people who need financing with private investors, with no bank in the middle; loans between individuals and online loans are the core of their offer.
- Personal finance management. Apps that use analytics to aggregate your accounts and help you manage your personal finances: saving, budgeting and tracking spending from your phone.
- Cryptocurrencies and blockchain. Platforms for buying, selling and holding digital assets such as Bitcoin using blockchain technology.
- Automated investing and trading. Robo-advisors that apply investment strategies and manage portfolios with algorithms, without a human manager.
Each of these types of company meets a different need, and many consumers use several at once: a neobank for everyday banking, a personal finance app for saving and an investment platform for the long term.
Comparison table: types of fintech companies and the services they offer
| Type of fintech company | What it automates | Who it is for |
|---|---|---|
| Digital payments | Collections, transfers and electronic payments | Merchants and consumers |
| Neobanks (digital banks) | Account, card and day-to-day banking | Individuals who want everything on their phone |
| P2P lending | Loans and credit between individuals | People seeking financing and people who want to invest |
| Personal finance management | Budgeting, saving and spending control | Consumers who want their finances in order |
| Cryptocurrencies and blockchain | Buying, selling and holding digital assets | Crypto investors and blockchain users |
| Automated investing and trading | Portfolio management with algorithms | Investors who prefer to delegate to software |
The difference between a fintech company and a traditional bank
A fintech company is born digital and specialises in one vertical, while a traditional bank covers every financial operation and brings institutional trust built over decades. That distinction defines the digital transformation the whole financial services sector is going through.
These are the key differences in how financial services are delivered:
| Aspect | Fintech company | Traditional bank |
|---|---|---|
| Origin | Digital from day one | Physical, with a branch network |
| Focus | Specialised in one service | Full financial coverage |
| Agility | High, launches products quickly | Slower, regulated processes |
| Trust | Still being built | Institutional and established |
| Paperwork | Minimal, everything digital | Heavier administrative load |
In practice, the line is blurring. Many financial institutions integrate fintech solutions instead of competing against them: a traditional bank can add instant payments, digital identity verification or automated financial advice developed by a fintech. That collaboration drives the digitalisation of the financial industry without the bank losing its customer base. Companies such as BBVA and Stripe show how traditional banks and financial technology companies can converge to offer more competitive financial services.
The benefits of digital finance for consumers and businesses
Digital finance brings measurable benefits: less time, lower cost and wider access. Both consumers and businesses gain agility compared with the traditional banking model. A concrete example: opening an account with a neobank such as Revolut or N26 takes less than ten minutes on a phone, while at a traditional bank branch the same process can stretch over several days between appointments, documents and signing paper contracts.
The concrete benefits of digitalisation are:
- Faster transfers. What used to take days now happens in seconds between accounts and countries.
- Less paperwork. Applying for a personal loan or opening an account is done from your phone, without travelling anywhere.
- Financial inclusion. People without access to a branch can bank with nothing more than a smartphone; this is one of the main arguments for fintech products in emerging markets.
- Accessible financial education. Many apps include financial education features that teach you to save and invest inside the product itself, something that used to require expensive professional advice.
- Accessible advice. Financial advice, once reserved for large fortunes, now reaches any user through an app thanks to robo-advisors and digital financial products and services.
A real personal finance example: an app automatically aggregates your bank accounts, categorises every expense and alerts you when you get close to your budget limit. You used to log expenses by hand in a spreadsheet. Now the system does it for you and suggests how much to save each month. That time saving, multiplied by millions of users, explains why fintechs offer services that traditional banks were slow to digitalise.
For businesses, the benefits translate into faster collections, automated accounting and access to financing without the friction of a long banking process.
Risks, security and data in fintech
Fintech brings speed, but it also concentrates risks that require human judgement. Wherever there is financial data and automated decision-making, oversight is not optional.
The main risks in fintech are:
- Customer privacy. Fintechs collect and analyse large amounts of financial information. The challenge is to use it to improve the service without invading people’s privacy.
- Data security. A security failure exposes sensitive financial data. Protection against cyberattacks is a constant priority in the sector.
- Algorithmic bias. A scoring algorithm can reproduce bias if it learns from unfair historical data, systematically denying credit to specific groups.
- Responsible use of artificial intelligence. The more AI automates financial decisions, the more human oversight those processes need.
Professional judgement is still irreplaceable. Artificial intelligence scores, suggests and detects patterns, but a person must review borderline cases, audit the algorithms and take responsibility when something goes wrong. A responsible approach treats AI as decision support, not as a substitute for accountability. In a sector that handles people’s money, trust requires concrete transparency: what data is collected, how it is weighted in decisions and who answers when the algorithm gets it wrong.
The future of finance: artificial intelligence, blockchain and financial inclusion
The future of finance points to more automation, more blockchain and more financial inclusion. AI adoption will keep growing, and blockchain will gain ground in payments and asset custody. The technological innovation that has already transformed payments and lending will keep redefining how people and businesses deal with the financial sector.
These are the trends that will shape fintech over the coming years:
- Growing AI adoption. More credit, fraud and advice decisions will go through algorithms, always with human oversight. Automation will keep reducing costs across financial services.
- Blockchain and cryptocurrencies. Blockchain works as a distributed ledger that records transactions without intermediaries. The open question is whether cryptocurrencies will become stable enough for everyday use as a means of payment.
- Global interoperability. The challenge is for different systems and platforms to work together internationally, enabling frictionless cross-border payments and making fintech solutions the standard in global markets.
- Sustainable financial inclusion. Innovation only keeps its promise if it also reaches underserved communities that lack access to technology today. Digital finance providers have a particular responsibility to make sure their products and services reach the people who need them most.
The key question for the coming years is not whether the technology will work, but whether the sector will ensure responsible use as AI automates more decisions. That balance between innovation and ethics will decide which fintechs earn long-term trust and lead the future of finance.
Frequently asked questions about fintech
What is fintech and what is it used for?
Fintech (financial technology) is the group of companies that use technology to offer digital financial services such as payments, loans, investing or personal finance management. It makes finance faster, cheaper and more accessible than traditional banking. The user completes the operation from an app in seconds, with less paperwork and from anywhere, without going to a branch. Using fintech means accessing financial products and services designed for a digital environment.
What is the difference between a fintech and a traditional bank?
A fintech is born digital and specialises in one service, for example payments or investing, while a traditional bank covers all financial operations through a branch network. The fintech is more agile and digital; the bank brings established institutional trust. More and more financial institutions integrate fintech solutions into their operations instead of competing with them, driving the digital transformation of banking.
What types of fintech companies are there?
The main types of fintech companies are digital payments, neobanks, peer-to-peer lending, personal finance management, cryptocurrencies and blockchain, and automated investing and trading. Each type specialises in one vertical and meets a different need within the fintech ecosystem. Many consumers combine several: a neobank for everyday banking, a savings app and an investment platform.
What role does artificial intelligence play in fintech?
Artificial intelligence is used in fintech to automate credit risk assessment, detect fraud in real time and personalise financial advice. A machine learning model can bring credit assessment close to an answer in seconds by cross-checking many variables, although the result needs human review in borderline cases. AI speeds up analysis, but a professional oversees the final decisions.
What is the relationship between blockchain and fintech?
Blockchain is the technology that records transactions securely and without intermediaries using a distributed ledger. Many crypto fintech companies rely on blockchain to buy, sell and hold digital assets such as Bitcoin. Beyond crypto, blockchain is also being explored for international payments and automated contracts because it can verify operations without a central third party.
How does financial technology affect financial inclusion?
Financial technology widens financial inclusion by letting people bank with nothing more than a smartphone, without needing a nearby branch. People who were previously excluded from the system can pay, save and invest from an app using fintech services adapted to their needs. The remaining challenge is to make sure innovation also reaches underserved communities without access to technology, so that inclusion is sustainable and fair.
Your next step to apply artificial intelligence in fintech
You now know what fintech is, how financial technology works and why artificial intelligence sits inside every credit, fraud or advice decision. The next step is to move from understanding it to applying it. People who know how to use tools such as ChatGPT, Copilot, Power Platform and Azure to analyse financial data and automate workflows are not competing against AI; they are directing it.
If you work in finance or at a fintech company and want to build that capability with a practical approach, the Certificate Program in Artificial Intelligence and Innovation from Founderz shows you how to apply AI to real business cases, including finance. Founderz has trained more than 700,000 professionals, is present in more than 170 countries and develops its programmes in collaboration with Microsoft. The question is not whether AI will change finance. It is whether you want to understand it from the inside and apply it before everyone else.
