Insurance core platform built on SaaS with AI-driven process automation
msg.Insurance Suite is an enterprise SaaS platform for insurance operations, combining SAP financial modules (FI, CO, PS) with Java/Spring microservices and cloud infrastructure (AWS, Kubernetes). The stack reveals a traditional banking-system backbone modernized with containerization and Python scripting. Active projects cluster heavily around data migration (legacy to modern systems), actuarial modeling, and Riester product automation—indicating customers wrestling with aged policy administration platforms and regulatory complexity. Engineering hiring (mostly mid-level and intern-focused) suggests capacity building for implementation rather than core R&D.
msg.Insurance Suite delivers end-to-end policy administration and core insurance operations software for carriers across all lines of business. Built as a joint offering from two specialized msg IT divisions with nearly 2,000 employees, the platform handles policy lifecycle management, claims processing, product modeling, and regulatory calculations (Riester allowances, actuarial requirements). Customers are primarily mid-to-large insurers across EMEA, served through both SaaS delivery and on-premises implementation. The product roadmap emphasizes migration acceleration—helping insurers transition from legacy monoliths to a unified, cloud-native architecture—and process digitization via AI-assisted workflow automation.
SAP FI/CO/PS for financial processes, Java/Spring Boot/Hibernate for application services, AWS and Kubernetes for cloud infrastructure, Python for scripting, Vue and Angular for UI, with version control via GitHub and Copilot integration for development acceleration.
Leinfelden-Echterdingen, Germany. The company operates as a public entity with 1,001–5,000 employees and generates approximately €300 million annual turnover across its two founding divisions.
Primary initiatives include migrating legacy actuarial data to the modern platform, implementing customizations for customer environments, automating Riester product processing, and integrating msg.life factory components into existing system landscapes to reduce manual workarounds.
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