The 40% revenue jump? Tip of the iceberg. The deeper signal of 2026 is that fintech finally stopped chasing user counts and started caring whether its systems survive a Tuesday morning under double load.

A few years ago, every consulting call started with the same question — how fast can we grow? Today, founders have sobered up. The question is now: what happens to our system if traffic doubles overnight and our correspondent bank suddenly goes dark? That single shift tells you everything about how the industry has matured. The center of gravity has moved away from beautiful apps for end users and toward the unsexy, indispensable plumbing that makes finance actually work at scale. Artem Lyashanov, founder of bill_line between 2019 and 2022, has watched this transition play out across three continents — the pattern is the same everywhere. Operational resilience is the new growth strategy.

01 AI as an operational necessity

If stablecoins are the new rails for money, then artificial intelligence is the dispatcher that makes the trains run on time — and profitably. In 2026, AI in fintech is no longer the experimental chatbot toy of 2022. It became a load-bearing piece of operational infrastructure roughly the moment its cost curve crossed below the cost curve of human teams doing the same job.

The numbers from the field are blunt. In Colombia, 86% of fintechs that have deployed AI in production have cut their operating costs by an average of 44%. That isn't a press-release flourish — it's a structural margin shift that compounds quarterly. Here's how it actually shows up inside a payment company:

  1. Smart routing. The system chooses the cheapest and fastest available path for each individual payment in real time — picking the acquirer, the scheme, the corridor — without any human in the loop and without the customer ever knowing a decision was made.
  2. Anomaly detection before settlement. Fraud and operational anomalies are flagged before the transaction completes, which means losses are prevented rather than reconciled after the fact. The economic difference between those two postures is enormous.
  3. Document processing at machine speed. Thousands of KYC documents, contracts and supporting files are read, classified and verified in seconds. What used to require a back-office floor now requires a model and a queue.

For the business, the bottom line is simple: fewer declines, fewer abandoned baskets, fewer angry tickets. The customer doesn't care how clever your algorithm is — they just want the pay button to work the first time, every time.

02 The sleeping giant nobody talks about

Whenever I bring up regulatory technology — RegTech — in a meeting, half the room glazes over. It sounds boring. It also happens to be where the largest unclaimed opportunity in fintech is currently sitting, in plain sight, waiting for someone to pick it up.

Payment technology is only half of the equation. The other half — the half nobody wants to talk about over dinner — is AML, KYC, financial monitoring and statutory reporting. Today, a very large number of operators spend somewhere between 30% and 40% of their entire engineering and operations capacity just feeding the regulator. Think about that ratio honestly. A third of your team is not building product. They are filling forms.

"Picture this: a third of your headcount isn't shipping new features — they're filling in compliance forms. That's a brutal tax on velocity. It's also the largest sleeping giant the market has right now."

— Artem Lyashanov
$15B $82B
RegTech market, 2024 → 2032 ~20% year-on-year growth · projections compiled from leading industry trackers

The translation is straightforward: automate your own bureaucracy, then sell that solution to other operators, and you are looking at a market with effectively no ceiling. Every regulated company is a potential customer, because every regulated company is bleeding capacity into the same paperwork. Ukraine has one of the most underrated positions in this race — Ukrainian fintechs have spent years operating under sustained cyber pressure and an extremely demanding central bank. That combination has produced teams who know how to ship financial software that simply does not break. That "survival under fire" expertise is a finished product. It can be packaged, and it should be exported.

03 The illusion of going global

One final myth worth puncturing: the illusion that AI has somehow made international expansion easy. The story sounds great on a slide. A large language model translates your interface in minutes. Your marketing creative gets localized for any culture overnight. Surely scale is just a checkbox away.

In practice, the questions that actually decide whether you survive in a new jurisdiction are nothing like that:

  1. Local clearing schemes. Do you actually support the domestic settlement systems of the market you're entering — or are you routing through a foreign correspondent and pretending it's the same thing?
  2. Custodial arrangements. Do you understand who legally holds the funds at each step, in this specific jurisdiction, under this specific license? Because the regulator will ask, and the answer cannot be improvised.
  3. Counterparty diligence. Is your system genuinely ready for the kind of forensic exam a foreign tier-one bank will run before they agree to be your partner? Most aren't, and they find out the hard way.

Since 2019 I have watched dozens of conquer-the-world expansion decks land on my desk. The ones that succeeded had one trait in common: they built systems that adapted locally without becoming unstable globally. Here is a counterintuitive data point that I treat as one of the most mature signals on the market: roughly a quarter of Ukrainian fintechs have no plans to expand internationally. From the outside that sounds like a lack of ambition. From the inside it is excellent strategy — depth in your home market is frequently more valuable than a row of flags on a map.

04 In place of an epilogue

The single lesson of the past few years is also the most boring one: discipline gets rewarded. You can stack AI onto every screen of your interface, but if your engine cannot pass compliance on autopilot or detect fraud in milliseconds, you will lose to the team that quietly invested in RegTech while everyone else was painting buttons. You can keep adding flags to the world map in your investor deck, but the real moat is depth and reliability in the markets where you already operate.

Founders & investors · key takeaways
  • Don't fear the boring work. The next billions in fintech are hiding precisely in the processes nobody wants to read about. RegTech and operational tooling are where the asymmetric returns sit.
  • Use AI as a dispatcher, not as decoration. Models that route, monitor and verify pay for themselves in a single quarter. Models that just talk are an expense.
  • Trust is the only durable currency. In a world where the underlying technology is increasingly commoditized, reputation and reliability are the only assets nobody can copy overnight.

2026 belongs to operators who can build systems capable of withstanding the perfect storm — concentrated risk, hostile cyber environments, demanding regulators, fragile correspondents. Be one of them.

Artem Lyashanov, fintech & IT expert. A decade of building payment ecosystems, including the founding years of bill_line (2019–2022).

How we verify

This column draws on open industry reports from the World Economic Forum, recommendations from ISO/IEC 27001, guidance from ENISA and NIST publications on operational resilience. RegTech market sizing is cross-checked against forecasts from leading analytical outlets covering the regulated software sector.

Editorial principle: factual accuracy, transparent sourcing, and a clear separation between expert opinion and news reporting. Where a figure is offered, it has a traceable source. Where an opinion is offered, it carries the author's name.