Sector Challenges
- Claims management processes that remain largely manual and paper-based
- Growing pressure to digitalize customer journeys: quoting, subscription, self-service
- Fraud detection and risk assessment requiring advanced analytics capabilities
- Legacy policy administration systems that are difficult to integrate with new channels
- Data quality and consolidation challenges across multiple internal systems
How Hydatis Helps
- AI-based decision-support and fraud-detection models for claims and underwriting
- Digitalization of customer journeys: online quoting, self-service portals, mobile apps
- Data engineering and BI to consolidate policy, claims and customer data
- Custom software development for policy administration and claims workflows
- Staff augmentation with data scientists, software engineers and QA specialists
Our Approach
We combine software engineering with applied data science, so insurers get working systems, not just proofs of concept. Our teams take use cases from an initial assessment through to production, integrating with existing policy and claims platforms rather than requiring a full replacement.
Why Hydatis for Insurance
Insurance data is sensitive and highly regulated, and models used in claims or underwriting must remain explainable to claims handlers and auditors. Our approach favors decision-support tools that keep humans in control of final decisions, rather than black-box automation.
Delivery Model
Projects typically begin with a short discovery phase to identify where data quality or process bottlenecks limit digitalization, followed by an incremental delivery plan so value is visible early. Whether the need is a single data scientist or a full product team, engagements scale with your roadmap and integrate with your existing policy and claims systems.
Illustrative Use Case
Illustrative example, not a named client. An insurer wanted to reduce manual review time on incoming claims. Hydatis’s data science team built a decision-support model that flagged high-risk claims for priority review, helping reduce average processing time while claims handlers retained full control of final decisions.