Core Insurance System Transformation
End-to-end modernization and replacement of the core insurance system for a leading non-life insurer working with more than 3,000 agents and managing over 1 million active policies.
Every organization starts from a different place and faces different challenges. That is why technology, data and AI are never goals in themselves for us they are tools for solving real business problems.
What matters is the outcome. Explore selected projects and the results we have delivered together with our clients and partners.
Our experience spans organizations across multiple industries. We design and develop solutions that support business growth from strategy and architecture through digital solutions, enterprise platforms and data to AI-powered solutions.
Have an idea, challenge, or project? Together we will translate it into a concrete solution and business value.
End-to-end modernization and replacement of the core insurance system for a leading non-life insurer working with more than 3,000 agents and managing over 1 million active policies.
Support and oversight of the selection process for a new IT platform for a life insurance company.
Support in selecting the target IT platform for a property and casualty insurer.
Support in preparing a proposal for an RFP covering an IT platform for reinsurance operations.
Support in selecting a new IT platform for a multi-line insurance organization.
Development of a Business Case and market entry strategy for Poland.
Development of a Business Case and strategy for entering the Polish market.
Implementation of an online platform supporting insurance sales through both agent and direct channels.
Modernization of the sales process for agents’ networks and multi-agencies.
Development of an online platform enabling the sale of health insurance products and medical services.
Transition of maintenance responsibility for three business-critical systems previously developed and supported by an external vendor.
Design and implementation of Agentic AI solutions automating complex business and decision-making processes while maintaining security, control and full auditability.
Role assessment and effectiveness of the existing data warehouse across architecture, data quality, security and business usage, together with identification of key risks and future development priorities.