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Artificial intelligence is profoundly transforming the banking and insurance sector. By automating complex processes, reducing risks, and offering more personalized services, AI allows financial firms to become more efficient while better meeting customer expectations. From risk management to fraud detection, to improving the customer experience, AI plays a central role in optimizing operations and creating innovative solutions adapted to the current challenges of banks and insurance companies.
Craft AI helps financial institutions automate complex processes such as document extraction and classification, the generation of accurate financial reports, and the production of real-time analyses. This approach not only makes it possible to gain operational efficiency, but also to offer tailor-made services, thus strengthening the competitiveness and compliance of businesses. AI allows financial institutions to reinvent themselves by offering ever more adapted services and remaining competitive in a constantly changing environment. Companies in the sector can anticipate customer needs, improve risk management and offer innovative solutions through process automation.
In highly regulated industries like banking and insurance, it is essential to adopt AI solutions that are both reliable and transparent. These systems must meet strict standards and protect sensitive customer data. Transparent AI builds the trust of consumers and regulators, which is crucial for avoiding legal or reputational risks.
AI allows advanced personalization of banking and insurance services by analyzing customer behavioral data. This approach allows businesses to offer tailored product recommendations, such as tailored financial advice or insurance offers tailored to the specific needs of each customer. This improves customer satisfaction, retention, and overall customer experience.
Artificial Intelligence is paving the way for practical solutions that enable banks and insurers to meet modern challenges while improving customer experiences and reducing risks. Here are some concrete use cases:
Banks use AI to analyze complex customer data, such as credit history, buying behaviors, and external factors such as economic or social trends. These analyses make it possible to generate a personalized risk score for each client and to make informed decisions on the granting of loans, thus adjusting interest rates and reducing the risks of default.
AI plays a key role in detecting fraud by analyzing thousands of transactions in real time. It detects behavioral anomalies, such as unusual purchases or suspicious documents, allowing businesses to react quickly and block fraudulent transactions before they happen. These tools ensure enhanced security while providing a seamless customer experience.
Insurance companies use AI to analyze the behavioral data of policyholders: driving habits (for car insurance), connected health data (health insurance), or geographic risks (home insurance). For example, insurers can adjust premiums based on actual usage, offering reduced rates to careful drivers. AI tools can also recommend complementary products or adjust offers according to the evolution of policyholders' lifestyles, allowing insurance companies to offer dynamic and personalized offers.
In claims processing, AI makes it possible to automate and accelerate several stages of the process. When an insured declares a claim, AI can immediately analyze the images and documents sent, identify the damage, and estimate the amount of the claim. This improves the productivity of internal teams while providing a quick and satisfactory resolution for customers.
Generate data similar to the original while ensuring confidentiality through synthetic data.
Ready-to-use solutions that integrate with existing banking and insurance systems (CRM, etc.).
Hosting available on the main sovereign clouds (Scaleway, S3NS, NumSpot)
Minimize the amount of energy required to train and use your models and control your costs
Control the reliability of the results by keeping your models under control
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