Insurance Software Modernization Services

ScienceSoft’s consultants assess legacy insurance systems and their infrastructure to identify modernization opportunities, constraints, and risks. We work with you to find realistic, cost-aware strategies for gradual modernization that would minimize business disruption and target the biggest pain points first.

ScienceSoft helps insurance organizations upgrade their operations through the strategic adoption of AI, without replacing core systems. We add agentic, assisting, generative, and predictive capabilities around and within existing software environments, targeting workflow gaps where AI can improve speed, accuracy, or staff productivity.

ScienceSoft revamps insurance apps built on outdated programming languages, frameworks, and databases by migrating them to modern, scalable, and cloud-optimized technologies. Our engineers apply DevOps practices and tools to enable faster, more reliable transitions and simplified maintenance.

ScienceSoft’s engineers improve the internal structure, logic, and data models of insurance systems without changing their architecture. This may include optimizing data access and storage procedures, reviewing and refactoring software code, repairing integrations, and enabling web and mobile access.

ScienceSoft’s architects redesign legacy insurance systems to improve scalability, interoperability, security, and compliance. This may involve strangling monolithic platforms to modular (SOA, microservices) architectures, transitioning databases from single-node to distributed or managed cloud setups, and optimizing architectures for cloud elasticity and higher availability.

ScienceSoft’s data architects and engineers consolidate insurance data into centralized, cost-effective storage and implement data integration and data quality validation pipelines. We also deploy scalable data management platforms that support real-time analytics, reporting, and decision-making across areas like underwriting, claims, and risk management.

ScienceSoft can implement new software features (e.g., automation logic, self-service options, interfaces) to extend the capabilities of the existing systems. Our engineers can develop new modules and components from scratch, build them on selected platforms, or integrate aging systems with chosen ready-made components through custom connectors.

ScienceSoft adds agentic, GenAI, and ML capabilities to insurance software ecosystems and implements enterprise AI foundations (AI gateways, integration layers, model deployment and monitoring infrastructure, etc.). We can adapt commercial and open-source models, fine-tune or retrain them on proprietary data, or build custom models where ready options do not fit.

ScienceSoft’s integration architects connect legacy insurance systems with internal and external software, including modern insurtech platforms, producer systems, asset and risk data platforms, and KYC/AML services. We design custom APIs and connectors, API gateways, and integration layers to support secure data exchange without major changes to core applications.

ScienceSoft moves insurance apps from on-premises or legacy cloud infrastructure to modern clouds, using rehosting, replatforming, or cloud-native transformation depending on the client’s needs. Our experts design secure, scalable architectures for cloud and hybrid setups, and use Ispirer Toolkits to automate up to 95% of routine migration tasks.

ScienceSoft’s engineers isolate insurance software modules or app components and package them into portable containers. Containerization enables granular allocation of computing resources to each component, leading to more efficient resource use at the system level. It also supports identical running of insurance app components on local machines, on-premises servers, and in the cloud.

ScienceSoft can audit the security of legacy insurance applications, their underlying infrastructures, and the data they operate, define protection gaps, and suggest practical enhancements. The engineering work may cover fixing code vulnerabilities, evolving application security features, implementing data and network protection tools, and refining access control models.

Compliance consultants, security experts, and software engineers at ScienceSoft work together to assess the compliance of insurance solutions, spot gaps, and align the software’s architecture, logic, data handling workflows, and security toolset with the applicable business policies and regulatory frameworks (NAIC, state DOI, GLBA, NYDFS, GDPR, and more).

ScienceSoft’s experts redesign the UX and UI of legacy insurance apps to improve software usability for target roles (insurance teams, customers, producers, etc.). The focus is on simplifying back-office insurance workflows, enabling faster, error-free interactions for front-line servicing teams, and minimizing friction in digital customer journeys.

If your legacy insurance apps doesn’t work smoothly across web and mobile platforms, ScienceSoft studies the issues, provides remediation guidelines, and revamps the apps for compatibility. Where appropriate, we transform web-based apps into progressive web apps to deliver consistent mobile UX without the overhead of native mobile development.

ScienceSoft’s UX/UI consultants and engineers identify and resolve issues in insurance app navigation, content presentation, and interaction design to enhance solution usability for all users, including those with disabilities. Our team has experience with ADA, Section 508, WCAG, and other recognized accessibility standards.

Rehosting a low-to-medium complexity solution (e.g., a broker portal, a monolithic PAS) to cloud infrastructure with minimal code changes.

Timelines: 2–6 months.

Code refactoring and performance optimization of a medium-complexity insurance automation solution (5–10 modules, 3–7 integrations).

Timelines: 2–8 months.

Deep reengineering (code transformation, tech stack modernization, partial logic redesign) of a core insurance platform (e.g., underwriting, claims) with complex business logic and 5–15 integrations.

Timelines: 6–12 months.

Full-scale modernization of a core insurance system (15+ modules, 10+ integrations) with rearchitecting, integration redesign, and cloud-focused transformation (containerization, orchestration, replatforming).

Timelines: 8–24+ months.