For many European banks, digital transformation has become the price of entry to the modern financial arena. New systems are rolled out, AI pilots are announced, and innovation headlines are claimed.
But stepping onto the floor is not the same as knowing the steps. When critical credit risk decisions still rely on patchy data, manual checks, and disconnected systems, the performance falls short of the promise.
Recent research from nCino, surveying 220 senior banking executives over 12 major countries, underscores this gap. More than 70% of institutions describe their digital transformation as “advanced” or “complete,” yet over half only access the right data to review their loan portfolios on a monthly or less frequent basis. In credit risk, where timeliness can be the difference between proactive management and reactive firefighting, this delay is significant.
Confidence Versus Capability
Confidence in managing credit risk remains uneven, 27% of surveyed institutions are not confident in their ability to manage it effectively. Even among those expressing high confidence, many are not directly involved in the day-to-day credit risk function, suggesting optimism sometimes comes from distance rather than operational reality.
The consequences are tangible. Manual checks, disconnected systems, and delays in data availability hinder fast, accurate decision-making. Larger institutions face the complexity of integrating multiple subsidiaries and data sources, while smaller ones often lack the resources to invest in advanced tools.
The Investment Push in the Nordics
Nordic banks are outpacing many of their European peers in their commitment to credit risk technology. While institutions across Europe are scaling up budgets, the Nordics are ahead of the pack: nearly half of banks in the region are increasing IT spend by up to 5% this year, with a further 28% committing to rises of 6–10%. These figures surpass the growth seen in Benelux, France, and the UK&I, underscoring a future-focused approach to risk management.
The investment is anything but piecemeal. Nordic banks are concentrating on two clear priorities:
- Automation of manual processes, reducing inefficiencies and freeing analysts from repetitive tasks.
- AI-driven credit scoring and early warning models, designed to improve risk prediction and monitoring.
But the Nordic stance on AI is distinctive. Institutions here are known for their strong focus on trust, transparency, and human oversight. Predictive models are viewed as powerful tools, yet their adoption is cautious. The emphasis is on explainability, models must be interpretable by credit officers so that human judgment remains at the center of decisions.
This reflects a broader shift in roles rather than a replacement of them. A striking 91% of Nordic respondents believe the credit analyst role will evolve, moving away from manual checks toward strategic, complex risk assessments, with AI serving as support, not substitute.
AI: Ambition Meets Caution
Artificial intelligence is firmly on the agenda, with majority institutions either using, piloting, or considering it. However, only 20% have reached extensive implementation in credit risk processes. Large institutions lead the way, one in four is extensively using AI, while smaller and medium-sized players often cite cost, portfolio size, and in-house expertise as limiting factors.
The hesitation is not without reason. Data privacy, explainability, and integration challenges remain significant. Many institutions maintain a “human-in-the-loop” approach, ensuring that credit decisions, particularly for complex or high-value lending, are reviewed by experienced officers. This balance reflects both regulatory expectations and risk management prudence.
The Real Test of Digital Transformation
The report’s findings highlight a critical point: in credit risk management, technology adoption without data readiness is like adding more floors to a building with unstable foundations. True transformation depends on addressing core issues: data quality, integration, and regulatory alignment, before expecting AI, automation, or analytics to deliver their full potential.
For European banks, the path forward is not simply about acquiring the latest tools. It is about ensuring that these tools operate on a reliable, integrated data foundation, enabling faster, clearer, and more defensible credit decisions. Without that groundwork, the “advanced” transformation remains more façade than function.
Download nCino’s comprehensive research report to gain deeper insights into how European banks are transforming their credit risk management strategies.