Banking & Insurance
Secure your data & manage your risks
With Data Science & Machine Learning, detect fraud in real time, optimise credit scoring, build customer loyalty and maximise the performance of your portfolios.
THE CHALLENGES FACING THE SECTOR
The Challenges Facing Banking and Insurance Today
The financial sector faces massive volumes of data and strict regulatory constraints (AML, GDPR). In an increasingly competitive environment, banks and insurance companies must limit fraud, control risks and improve the customer experience.
Using data science and machine learning, HAXAN helps financial players turn these challenges into opportunities by combining security, compliance, and operational efficiency.
The banking and insurance sector must combine security, profitability and customer experience in a context of intense competition and demanding regulations. Three challenges stand out :
Security & compliance
Institutions must comply with strict regulations such as AML or GDPR, while ensuring the protection of sensitive customer data.
Fraud & risk management
Combating fraudulent transactions and improving credit scoring are essential for limiting losses and strengthening confidence.
Customer experience & loyalty
Customer satisfaction depends on the ability to anticipate churn and offer tailored services that create long-term value.
OUR SOLUTIONS
Use Cases for AI in Banking & Insurance
01
Real-time fraud detection
Predictive algorithms that immediately identify suspicious transactions, reduce false positives and limit financial losses.
02
Risk analysis and credit scoring
Robust models to refine scoring, anticipate payment defaults and make credit decisions more reliable.
03
Customer churn prediction
Behavioural analysis and refined segmentation to identify signs of attrition, take action before the customer leaves, and strengthen loyalty.
04
Investment portfolio optimisation
Predictive models and algorithms to maximise returns while controlling risk, with automatic updating based on market developments.
Beyond these use cases, our solutions guarantee you measurable impact and a rapid return on investment.
OUR SOLUTIONS
Benefits for Your Business
Choosing HAXAN for your data and AI projects in the banking and insurance sector means transforming your regulatory constraints and data volumes into real drivers of performance and trust.
Enhanced security and compliance
Our solutions help you meet the most stringent regulatory requirements (AML, GDPR, Solvency II) while ensuring the protection of sensitive data. You reduce your legal risks and protect your reputation with customers and authorities.
Reduction in financial losses
Real-time fraud detection and credit scoring optimisation help limit fraudulent transactions and improve the reliability of lending decisions. The result: a significant reduction in losses and better risk control.
Operational efficiency and measurable ROI
Process automation and the use of predictive models reduce processing time, improve team productivity and speed up decision-making. Each project is designed to generate a rapid and measurable return on investment.
Enhanced customer experience and increased loyalty
By anticipating customer needs and behaviours, you increase satisfaction, retention and trust. AI thus becomes a strategic tool for creating long-term value and differentiating yourself from the competition.
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Banking & Insurance
Our Support Methodology
In the banking and insurance sector, security, compliance and performance requirements demand a rigorous methodology. At HAXAN, we structure our projects around three key stages:
To discover how to secure your data and boost your competitiveness with AI :
1. Audit & regulatory framework
We analyse your transactional data, risk management processes and regulatory constraints (AML, GDPR, Solvency II). This phase allows us to target priority use cases such as fraud detection, credit scoring and churn prevention.
2. Deployment of secure AI solutions
Our experts design and train predictive models tailored to your needs (fraud, scoring, investment portfolio). The solutions are integrated into your existing systems with a focus on security, confidentiality and interoperability.
3. Monitoring & continuous improvement
We provide real-time monitoring through robust MLOps practices. Models are regularly recalibrated to adapt to market developments, new regulations and customer behaviour.