Home Transaction Banking In the Age of AI, RBI Doubles Down on Relationship Banking
Artificial intelligence (AI) is changing how corporate and institutional clients interact with their banks. At Raiffeisen Bank International (RBI), Sabine Zucker, Head of Group Transaction Banking, and Elitza Kavrakova, Group Head Institutional Clients, explain why AI will enhance rather than replace relationship banking.
AI is rapidly changing banking. What are the biggest challenges and opportunities for clients and financial institutions?
Elitza Kavrakova: The biggest question for organisations today is no longer whether they should adopt AI, but rather how to do so responsibly and effectively.
Financial institutions and corporates face multiple challenges. They need to strike the right balance between innovation, regulatory compliance, cybersecurity and data governance. At the same time, there is a genuine risk of becoming overly reliant on AI.
While AI can significantly improve efficiency and decision making, it should remain a co-pilot rather than an autopilot. Human judgment, accountability and critical thinking remain indispensable, especially in areas such as risk management and compliance.
Clients also continue to value human interaction. Technology can enhance the client experience, but trust-based relationships remain at the core of banking.
How are client expectations changing and what does this mean for relationship banking?
Elitza Kavrakova: Clients increasingly expect real-time access to information, faster execution, greater transparency and more proactive services from their banking partners.
They are also looking for actionable intelligence that helps them anticipate developments and make better decisions. This is where AI has the potential to fundamentally change the role of relationship managers. AI will elevate relationship managers from being information providers to becoming strategic advisors.
At RBI, we already use data-driven insights to support client engagement. AI can help relationship managers better interpret and understand client needs, identify opportunities earlier and provide more relevant solutions to navigate increasingly complex environments. This can include next-best-offer recommendations, data-driven pricing decisions, more effective meeting preparation and stronger post-sales engagement.
AI can also help identify relevant developments earlier, enabling relationship managers to engage with clients in a more informed and meaningful way.
How is technology transforming transaction banking and client connectivity?
Sabine Zucker: Customers are increasingly interested in a smooth and seamless interaction with their bank. This requires strong connectivity between banking platforms and clients’ treasury or bookkeeping systems. APIs play a major role here, as they provide the basis for straight-through connectivity and support increasingly tailored client experiences.
Looking ahead, the integration of AI into transaction banking could drive a new wave of innovation, including smarter liquidity management, predictive cash-flow forecasting and advanced fraud prevention capabilities.
This will help banks meet rapidly changing client expectations. For example, a few years ago, corporates rarely used instant payments. Today, companies expect instant information on their liquidity position at any point in time, enabling them to make faster and better-informed decisions.
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