Kranthi Nekkalapu

As enterprises move from GenAI experimentation to production, the hardest problems are no longer models or agent frameworks—they are enterprise‑scale orchestration and observability. At Suncorp, we have deployed 16 production‑grade agentic AI solutions that are now converging into an enterprise claims automation capability. This session shares the reference architectures and engineering patterns behind this journey, focusing on two pillars: agentic orchestration, where Databricks supports low‑latency, governed workflows and shared agent memory using Delta Lake, Vector Search, Agent Bricks, and Lakebase, and AI observability at scale, where we use MLflow evaluation, OpenTelemetry, Databricks Apps, and AI/BI Dashboards to trace agent behaviour, decisions, quality and risk. Attendees will leave with practical patterns for building orchestrated, observable agentic AI in a regulated enterprise.

The insurance industry is rapidly evolving as advances in data and artificial intelligence (AI) drive innovation, enabling more personalized customer experiences, streamlined operations, and improved efficiencies. With powerful data analytics and AI-driven solutions, insurers can automate claims processing, enhance risk management, and make real-time decisions. Leveraging insights from large and complex datasets, organizations are delivering more customer-centric products and services than ever before. Key takeaways: Real-world applications of data and AI in claims automation, underwriting, and customer engagementHow predictive analytics and advanced data modeling help anticipate risks and meet customer needs. Personalization of policies, optimized pricing, and more efficient workflows for greater ROI. Discover how data and AI are fueling growth, improving protection, and shaping the future of the insurance industry!