Enterprise claims management
Claims operations need to move fast without compromising control, compliance or quality. Akkuro Claims brings automation, configurable workflows and real-time management together in one platform, helping insurers reduce manual work, accelerate claims handling and adapt as products and requirements evolve. AI agents work alongside claims handlers to prepare, prioritize and structure their work so people can focus their expertise where it matters most.
Intelligent workload prioritization
AI agents continuously assess the claims queue and help prioritize cases based on urgency, complexity and value. Claims that require attention are surfaced sooner, while routine work continues to flow efficiently.
AI-assisted authorization decisions
For claims requiring prior authorization, AI agents review and structure relevant medical documentation and prepare the information needed for assessment. Decision-makers get a clear, well-supported basis for their decision, helping them work faster while maintaining control over quality and compliance. Less time spent searching, sorting and preparing. More time for the decisions that require human expertise.
Enterprise claims management capabilities
Proven where complexity matters most
Akkuro Claims is proven in one of Europe's most demanding insurance environments. Every year, the platform processes approximately 380 million claims with more than 99% Straight Through Processing, demonstrating its ability to support large-scale claims operations with reliability, transparency and efficiency.
Case Study
Scaling claims without scaling complexity
Opportunity
Solution
Built on a containerized microservices architecture, the platform scaled effortlessly to handle peak loads, while new releases were deployed without any downtime. In addition, Akkuro Claims enabled the customer to migrate their entire IT landscape to the cloud.
Impact
Transform your claims operations
Discover how Akkuro Claims helps insurers manage claims faster, reduce operational costs and improve efficiency through enterprise-scale automation.