AI and automation are redefining how enterprise insurers manage underwriting, claims, and service ops—and .NET developers are at the forefront of enabling this transformation. This session explores how companies are building real-time, AI-powered systems using C#, ML.NET, Azure Cognitive Services, and .NET-integrated RPA to streamline operations, cut costs, and increase fraud detection accuracy.

We’ll dive into a modular architecture that combines ML, NLP, and orchestration frameworks with .NET-based APIs and background services. Learn how AI-driven decisioning and intelligent workflows built with familiar .NET tools process thousands of applications per hour and automate up to 70% of manual tasks, all while ensuring security and compliance.

With real-world implementations, performance benchmarks, and architecture diagrams, this talk equips .NET professionals with an actionable framework to scale AI inside regulated enterprise environments—delivering impact without abandoning proven technologies.