R2i’s Insurance Industry Expertise

Trusted IT for the finance and insurance sector

Companies in the insurance and finance sectors rely on our technological expertise, our cloud solutions, and our services because we understand the competitive challenges of your industry.

Through IT solutions, we can help you with governance, regulatory compliance, security, and new technology integration to better meet changing customer expectations and improve operational resilience.

Tell us about your needs

They trust us

YOUR CHALLENGES

OUR SOLUTIONS

Regulatory Compliance

Regulatory compliance requires the continuous adaptation of internal processes to meet ever-changing standards and the integration of technological innovations to better protect data and customers.

Data Anonymization

To conduct risk analyses, detect fraudulent behavior, or produce statistics and reports without exposing individual data, it is necessary to use data anonymization and masking tools such as DOT Anonymizer from ARCAD Software.

Increased Cybersecurity Threats

Companies in the insurance and finance sectors must not only protect their infrastructure and customer data, but also be able to recover quickly from attacks if necessary.

Cyber Resilience

Cybersecurity is essential to protect your IT environment. However, in the event of a successful attack, only a rapid response can limit the impact. This is why a solution such as the IBM Defender suite, with IBM Cyber Vault and Predatar, helps improve cyber resilience in the insurance and finance sectors beyond the limits of cybersecurity alone.

Integration of New Technologies

Agility and Digital Customer Experience

To improve efficiency and customer experience, companies in the insurance and finance sectors are adopting new technologies like the cloud.

Edwin, R2i’s Canadian cloud, helps better manage the complexity of hybrid environments and optimize associated infrastructure costs.

Case study

Data Anonymization for Innovation in Insurance

A major Canadian insurance company seeks to use its historical claims data to train AI models to improve pricing and fraud detection, while strictly respecting policyholder privacy.

Challenges

The direct use of production data presents significant legal risks. Manual anonymization methods are too slow and expensive, and impair the statistical quality required by AI models.

IT solution implemented

R2i deploys an automated anonymization platform. Integrated into existing data flows, it uses advanced techniques to generate reliable and statistically relevant synthetic or anonymized datasets, accessible in secure development environments.

Results

The client now has fast and secure access to high-quality and anonymous data for its innovation and data science teams.
Regulatory compliance is guaranteed, eliminating the risk of fines.
Data preparation time is reduced, accelerating the development and deployment of new analytical and AI models, thereby improving competitiveness.