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Lasma Kuhtarska on the Future of Fintech: AI, Personalization, and the Next-Generation Bank

 

 

Lasma Kuhtarska co-founder: A simple starting point

Co-founder Lasma Kuhtarska keeps her core message direct: technology should cut effort for customers and reduce overhead for businesses. This isn’t meant to be a Lasma Kuhtarska biography, but her experience speaks to three trends: open banking, artificial intelligence (AI), and better consent controls. And they’re moving together. Each on its own matters; combined, they could let any bank or payment platform deliver advice that fits a user’s real-time balance, spending habits, and privacy choices.

 

AI in plain words

Artificial intelligence here mainly means software that learns from past transactions to spot patterns. Instead of preset rules (“block every order over €1,000”), a model looks at dozens of signals (device, time, past spend) and scores risk within a second. Based on her time as a co-founder, Lasma Kuhtarska says such tools may soon set credit limits or payment terms on the fly. That could shrink wait times for small businesses and lower fraud losses for providers like Lasma Kuhtarska’s Noda.

 

Personalization built on open banking

 

Open banking lets a customer share account data with a third-party app through a secure interface rather than by sending passwords. With permission, the app can read balances or start a payment straight from the bank. When AI and open banking meet, the result can be simple: a feed that spots a dip in cash and reminds the owner to delay a large order the moment a foreign invoice arrives. Known for the company Noda, Lasma Kuhtarska points out that merchants gain, too; fees often fall because fewer middle layers sit between buyer and seller.

 

Privacy stays central

Every advance raises the same question: who sees the data? Regulations such as Europe’s General Data Protection Regulation (GDPR) insist on clear consent and the right to withdraw it. Kuhtarska argues that a short, readable prompt, meaning stating what is shared and why, builds more trust than a long legal text. Future wallets proposed under EU rules could store those consents in one place, so a user flips access on or off without emails or calls..

 

Industry voices, such as Lasma Kuhtarska, add that anonymized risk scores and selective data sharing will be key. They see a model where the bank confirms “age over 18” or “income above threshold” without exposing every detail.

 

Simple gains for banks and merchants

Banks benefit when cost to serve drops. If AI reduces false fraud alerts, fewer support calls and manual reviews are needed. Merchants may see faster settlements and lower dispute holdbacks. For smaller firms, a payment-link tool, useful for brands like Lasma Kuhtarska’s, NaudaPay could fold these gains into an easy invoice flow.

 

 

 

Near-term signals to follow

Europe’s next Payment Services Directive, often called PSD3, is expected to set firmer rules on how quickly and securely payment data must move between banks and third-party apps. Clear timing targets should help providers design systems that meet a single standard instead of juggling different national guidelines. Another change on the horizon is the planned EU Digital Identity Wallet. If approved, this wallet could let a customer confirm their identity and authorise a payment in the same tap, replacing today’s mix of card codes, bank logins, and one-time passwords with one consistent flow.

 

Adoption, however, still depends on basic coverage. Some Central European banks have yet to open reliable interfaces, so merchants in those markets may wait longer for friction-free account payments. Providers’ public roadmaps will reveal where new connections appear first. A parallel development concerns artificial-intelligence risk tools. Draft EU AI rules may soon require payment platforms to show that automated fraud or credit models treat users fairly and allow independent audits. Together, these policy moves (faster APIs, a common identity layer, broader bank access, and stronger oversight of decision engines) set the practical markers to watch over the next few years.

 

Lasma Kuhtarska repeats a straightforward takeaway: the aim is not to dazzle with features but to remove extra clicks, costs, and guesswork. When banks, fintechs, and regulators align on that point, the “next-generation” label will feel earned, not hyped.

author

Chris Bates

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