Frende
Frende has 3 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 3 countries. Key partners include Blue Prism.
Hyperscaler mix
See whether Frende's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Frende builds AI
Build / Buy / Compose across this company's documented cases
2 of 3 cases classified (67%) · Compare all use-case types
Technology snapshot
What Frende uses across visible cases
AI Agents appears in 1 of 3 indexed cases; 9 named technologies are mentioned, led by Generative AI.
All Use Cases (3)
Frende Streamlines Claims and Invoice Processing with Digital Workers
Frende, an insurance company in Norway, sought to improve customer service and claims handling efficiency without increasing staff. Facing hundreds of daily customer inquiries and vendor invoices, they experienced issues like misrouted emails, duplicated reviews, and slow invoice processing. By deploying SS&C Blue Prism digital workers integrated with Microsoft AI technologies, Frende automated the triage, summarization, and routing of claims emails and automated non-standard invoice processing from vendors. Digital workers extract information using large language models to interpret unstructured data, summarize claims, and validate invoice details. This solution allowed Frende to handle a growing customer base without hiring more claims handlers, reduced customer dissatisfaction by 20%, enabled vendor payments within a day, and achieved an NPS score of 88. Frende’s approach is now foundational for further automation, including end-to-end travel claims processing.The article outlines the business and technical context, customer and partner involvement, and clear metrics for business impact, including automation share and customer satisfaction.
Frends accelerates automation and integration for professional services
Frends iPaaS, built and hosted on Microsoft Azure, offers professional service organizations in Finland the ability to streamline business processes and increase efficiency through intelligent automation and seamless integration.Now available via the Azure Marketplace, Frends enables customers to use Microsoft Azure Consumption Commitment (MACC) credits, simplifying procurement and billing for organizations already invested in the Microsoft cloud ecosystem.Frends uses a low-code, user-friendly platform that leverages open standards such as OpenAPI Specification and BPMN. This accelerates the onboarding of new solutions and integrates natively with .NET and C# tools, further simplifying complex API and automation challenges.The azure-native approach allows professional services firms to maximize their existing investments and benefit from advanced automation, API management, and hybrid integration.Recognized as Microsoft Partner of the Year for Cloud Solutions in Finland (2023) and listed in the 2024 Gartner Magic Quadrant for iPaaS, Frends has demonstrated outstanding delivery of integration solutions in the professional services sector.
Insurer Automates Claims with Generative AI and Robotic Process Automation
This case describes how insurance companies automate claims processing by integrating SS&C Blue Prism's enterprise AI, generative AI, and Robotic Process Automation (RPA) with Microsoft Azure.Previously, claims handling was slow and error-prone because adjusters manually entered and verified data, leading to delays and dissatisfied customers.Enterprise AI now automates repetitive tasks, facilitates document review and summarization, and securely accesses data sources to create a single source of truth.Generative AI extracts key details from lengthy accident declarations, summarizes data, and populates claims systems, increasing accuracy and speed.The solution delivers audit trails, end-to-end process compliance, reduced manual errors, and enhanced customer notification and experience.The technology allows real-time fraud detection, automates low-risk claims, and provides analytics for fraud prediction and prevention.Integrations also support AI chatbots, IoT/telematics notifications for new claims, and computer vision for damage verification and estimation.The implementation has reduced claim cycle time by 20 minutes per claim, improved customer satisfaction, and freed adjusters for complex tasks.