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AI in Finance,
Banking & Insurance

Data & AI in Finance, Banking & Insurance


The financial services and insurance industry is undergoing fundamental transformation. Digital business models, automated decision-making, and data-driven risk assessment are becoming increasingly important – along with rising demands for model transparency and explainability (XAI).

Especially in sensitive areas like credit scoring in banking or underwriting, decisions must be traceable and auditable. Black-box models quickly reach regulatory limits – particularly under evolving frameworks such as the EU AI Act and sector-specific requirements from BaFin, EIOPA, and other supervisory bodies.

At the same time, customer expectations are shifting rapidly: Digital, personalized, and seamless experiences are now expected – even for complex services like financial advice. In parallel, cyber threats and compliance risks are intensifying.

As one of Europe’s leading data and AI consultancies, we help banks, insurers, and financial service providers turn these challenges into tangible competitive advantages.

We see data as a strategic asset – and enable real gains in efficiency, transparency, and innovation. With a strong track record of successful projects in the finance and insurance sector, we combine deep regulatory insight, proven delivery expertise, and state-of-the-art AI technologies.

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Alexander Thamm, Paneldiskussion
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Benefits of AI
in Finance, Banking & Insurance

Improved Fraud Detection Rates

Advanced models analyze transactional and behavioral data in real time, detect anomalies early, and reduce false positives – increasing security and operational efficiency.

Reduced Time to Credit Approval

AI-powered scoring and automation significantly reduce the time it takes to process loan applications – with full transparency and regulatory-grade explainability.

Lower Non-Performing Loan Ratio

Predictive analytics and robust risk scoring help detect potential defaults early and reduce NPL rates – improving portfolio health and regulatory resilience.

Our Customer Stories

Discover selected examples from our projects. Each reference shows industry-specific solutions for your unique requirements.

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From Idea to Operation

Scalable Solutions

Our interdisciplinary teams of data, AI, and financial experts design tailored solutions – from intelligent credit scoring and fraud detection to robo-advisory and data-driven risk modeling.

We support you across the entire value chain: from strategic planning to development, integration, and ongoing operations. Our approach is never one-size-fits-all – we craft solutions that fit your regulatory environment, data landscape, and business goals.

Our promise: measurable business value – from faster decisions to improved risk resilience and customer satisfaction.

Curious where your hidden potential lies?
Let’s talk – our experts are happy to explore it with you.

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Our Approach:
The [at] Data Journey

[at] Data Journey by Alexander Thamm GmbH, Data Strategy, Data Lab, Data Factory and DataOps in einem Flowchart
Alexander Thamm GmbH 2025

Our Digital Journey offers a holistic framework for data and AI projects, allowing us to fully understand our clients' challenges and provide tailored, effective solutions.

It encompasses four intertwined practices: Data Strategy, Data Lab, Data Factory, and DataOps. This holistic approach to planning and implementing Data and AI projects allows us to maintain a continuous overview of cutting-edge technologies and trends. Additionally, this setup provides our customers access to a qualified team of experts who can address and assist with various issues at every stage of the journey.  Note that although our Digital Journey is a holistic concept, its individual components and services can also be accessed independently. Nevertheless, all areas are integrated into every project. This is how we turn data into real value.

We support your data project – from the initial idea to the final product.

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Want to explore the potential of AI and Data Science for your business? Interested in learning more about our use cases and technology? Talk to our experts!

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