Artificial Intelligence is driving enterprise transformation—and nowhere is this more impactful than in the insurance sector, where operations are data-intensive, highly regulated, and cost-sensitive. In this session, we explore how insurers are using Microsoft Azure to build scalable, intelligent automation frameworks that optimize underwriting, claims processing, and customer engagement.

Using production examples, we’ll walk through a modular AI architecture that integrates Azure Machine Learning, Cognitive Services, Logic Apps, and Azure Functions to create intelligent workflows. These systems process thousands of policy applications per hour, triage 85% of claims on first attempt, and reduce decision cycles by over 50%—all while maintaining sub-second predictive response times and near-perfect data accuracy.

The session will showcase patterns for designing secure, compliant, and high-throughput AI pipelines on Azure. You’ll learn how insurers use Azure Synapse Analytics for real-time insights, implement secure model hosting with ML endpoints, and build continuous feedback loops using Azure Monitor and Application Insights. We’ll also cover approaches to integrating AI into existing .NET- and API-driven backends for seamless enterprise-wide adoption.

For teams navigating governance and data protection, we’ll touch on aligning these systems with GDPR, FCA guidelines, and best practices for explainable AI and audit trails—ensuring your cloud-native AI remains both compliant and transparent.

Ideal for Azure architects, cloud engineers, and data professionals, this session provides a practical, referenceable blueprint for delivering AI-powered transformation in real-world environments. Attendees will leave with actionable insights into deploying scalable, intelligent, and resilient automation frameworks using Microsoft’s cloud-native ecosystem.