Kazakhstan: AI Powers 25% of Payments, Banks Expanding Budgets
Alexander Shlimakov specializes in Salesforce, Tableau, Mulesoft, and Slack consulting for enterprise clients across the CIS region. With a proven track record in technical sales leadership and a results-oriented approach, he focuses on the financial services, high-tech, and pharma/CPG segments. Known for his out-of-the-box thinking and strong presentation skills, he brings extensive experience in solution sales and business development.
Kazakhstan's payment ecosystem is a leader in AI adoption, with 75% of banks using AI for credit scoring, fraud, and marketing.
Kazakhstan's financial sector is undergoing a profound transformation, positioning it as a key AI hub in Central Asia. In Kazakhstan, AI powers 25% of payments, with most banks expanding budgets to further integrate this technology. This AI-driven evolution enhances transaction security, streamlines credit approvals, and powers a new generation of fintech innovation, making the country's payment rails smarter and more efficient than ever before.
How is AI transforming Kazakhstan's payments ecosystem?
Artificial intelligence is revolutionizing Kazakhstan's financial landscape by enhancing security, efficiency, and personalization. AI models now drive one in four transactions, enable real-time fraud prevention and anti-money laundering checks, and allow banks to perform instant credit scoring, significantly improving the speed and safety of financial services.
The scale of this shift is immense. Non-cash transaction volume hit 186 trillion tenge in 2025, a 12% year-over-year increase. According to Sanjar Zhamalov, General Director of Mastercard for Kazakhstan and Central Asia, one out of every four transactions now involves a machine-learning model.
This statistic highlights the deep integration of AI across the financial sector. A remarkable 75% of banks in Kazakhstan now utilize AI for critical back-office functions like credit scoring, fraud detection, and personalized marketing. Even the National Bank has deployed its own supervisory technology (SupTech) to identify potential money laundering in real time by analyzing millions of daily transactions.
"We no longer treat AI as a pilot topic. It is part of the rails", Zhamalov told a recent Almaty fintech round-table.
Mastercard's regional hub in Almaty, established two years ago, now prioritizes hiring local data engineers over expatriates. Their strategic roadmap for 2025-2026 focuses on key AI-driven initiatives:
| Priority | Tech component | KPI |
|---|---|---|
| Digital tenge wallet | Quantum-safe token exchange | < 200 ms settlement |
| Crypto cards | AI risk engine for on-chain→off-chain | 99.97% fraud block |
| SME acceptance | Predictive onboarding | 30% drop in abandonment |
The strategic importance of this trend is officially recognized. Kazakhstan's AI Country Report, released in January 2026, identifies payments infrastructure as a foundational pillar for national AI development. The rationale is clear: the financial sector generates high-quality, high-velocity data ideal for training algorithms that can later be adapted for other key sectors like energy, agriculture, and smart cities.
Regulators have fostered this growth with a technology-neutral framework, allowing banks to either develop their own AI models or license foreign ones, on the condition that all personal data remains within Kazakhstan. This has created a dynamic "sandbox" environment, encouraging innovation: 88% of financial institutions plan to increase their AI spending this year, despite tightening capital requirements.
The impact is tangible for consumers. A unified QR code network launched in September 2025 now connects 15 banks, with full integration mandated by July 2026. Every QR payment undergoes a dual-layer AI security check: one model validates device data in 30 milliseconds, while a second analyzes the transaction against known fraud patterns using graph neural networks. This has dramatically cut false-positive fraud alerts from 2.4% in 2023 to just 0.6%.
Investor confidence is surging. In 2025, AI-focused fintech startups attracted between $73 million and $75 million in venture capital - over half of the country's total VC funding and a fivefold increase from 2023. Many of these startups provide ready-made anti-fraud solutions to smaller banks, democratizing access to advanced security technology.
Global technology vendors are also adapting to this market. A prominent systems integrator has embedded predictive credit scoring into its CRM software for Kazakh banks, reducing loan approval times from days to mere minutes. This technology is now being exported to Kyrgyzstan and Tajikistan, establishing a Central Asian AI corridor powered by Kazakh infrastructure.
"If you can train a model on Kazakh payment flows, you can export it anywhere between here and Tashkent", a senior banker remarked during a recent Astana Hub webinar.
The next wave of innovation focuses on merchant services. Mastercard is piloting an AI-powered system that offers dynamic, same-day working capital loans to small businesses. The system analyzes point-of-sale data, weather patterns, and local foot traffic to price offers. Initial trials in Shymkent have shown promising results, with a 38% uptake rate and default rates under 1%.
While headline figures like transaction volume are impressive, the underlying trend is more significant. According to Mastercard simulations, each percentage point increase in AI adoption yields approximately 4 basis points in system-wide fraud savings. In a market valued at 186 trillion tenge, these savings translate into substantial capital that is being reinvested to further accelerate the development of faster, smarter, and more secure financial technologies.