AI Use Cases
synvert Accelerators
Cloud data & AI are fundamentally changing the insurance industry by assessing risks more accurately, automating processes and optimizing customer care. Insurers benefit from more efficient operations, better fraud detection and personalized services.
Artificial intelligence analyzes large amounts of data in real time, enabling more precise risk assessment and faster underwriting. Claims processing is significantly accelerated by image recognition and automated workflows, while natural language processing efficiently processes customer inquiries. Modern AI models help to identify and prevent fraud at an early stage. In addition, data-driven process mining increases operational efficiency and reduces costs.
With over 30 years of experience and more than 3.000 successfully implemented projects, synvert is the ideal partner for insurers looking to drive their digital transformation with cloud data & AI.
Development of a KPI cockpit for analyzing key performance indicators (KPIs) and for monitoring the fulfillment of service level agreements (SLAs) in the insurance industry. The solution enables real-time analysis of claims processing, policy administration and customer service, detects deviations at an early stage and optimizes processes.
A Retrieval Augmented Generation (RAG) based chatbot makes insurance documents for life, health and property insurance intelligently searchable and provides AI-supported, precise answers in natural language. It extracts relevant passages, understands complex queries and improves efficiency in customer and case processing.
Conceptualization and implementation of the entire data management for a group-wide IFRS 17 implementation for a leading Swiss insurance company. In this process, more than 200 information systems of different group companies were connected.
Knowledge transfer in the field of data science, implementation of various advanced analytics use cases such as next-best-offer, next-best-customer, potential analysis and document verification. Establishment of a central advanced analytics environment. Automation of the document review leads to a saving of costs by an external reviewer and speeds up the processes.
Analysis, design and implementation of a planning system for cost centre planning including cost allocation and target/actual comparison. Survey of the cross-departmental technical requirements for the company-wide DWH system. Design and implementation of a company-wide data warehouse.
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