
Insurance
In an industry driven by data, risk assessment, and customer trust, AI has become a key enabler of operational efficiency and innovation.
Polynom supports insurance players in leveraging AI to streamline processes, enhance decision-making, and deliver superior customer experiences.
AI for Insurance: From Complexity to Performance
Insurers handle large volumes of data across underwriting, claims, and customer interactions. By leveraging advanced analytics, machine learning, and generative AI, they can improve operational efficiency, enhance risk assessment, strengthen fraud detection, and deliver more personalized customer experiences. AI is no longer experimental — it has become a strategic enabler of performance, scalability, and competitiveness.

Insurance operations are inherently complex
Insurance organizations manage massive volumes of structured and unstructured data across underwriting, claims, compliance, and customer interactions — often across fragmented systems and siloed workflows.
High operational complexity
Fragmented automation
Slow decision cycles
Rising regulatory pressure
Beyond pilots. Beyond isolated models.
Agentic AI is not an experimental approach. It represents a strategic operating layer that enables insurers to scale intelligence, improve resilience, and continuously optimize core value chains.
Faster decision-making
Higher operational performance
Built-in scalability
Continuous optimization

Service
Description
#1
Intelligent Claims Management
We design AI-powered solutions that optimize claims declaration workflows, improve data indexing, and enable faster decision-making by leveraging structured inputs, documents, images, and free-text data.
Advanced Fraud Detection
Using pattern recognition and anomaly detection, our AI solutions identify suspicious behaviors and inconsistencies, strengthening risk control and loss prevention.
Customer Assistance & AI-Driven Support
AI assistants and intelligent interfaces help insurers provide real-time, accurate responses to policyholders, improving accessibility while reducing back-office workload.
