Architecting Agentic AI: Global Frameworks for Data-Driven Transformation

About the Session

The global business landscape is witnessing a paradigm shift from traditional rule-based automation to agentic artificial intelligence systems that can autonomously manage complex, multi-step workflows across diverse industry verticals. This presentation explores how organizations are implementing AI-driven architectures to achieve operational improvements across finance, healthcare, manufacturing, and service industries. The research examines core technological components including natural language processing engines, workflow orchestration platforms, and real-time analytics systems that enable autonomous decision-making at enterprise scale. These systems focus on improving processing efficiency through enhanced document processing, data extraction, and predictive analytics capabilities. The architecture employs cloud-native microservices design patterns with event-driven communication, enabling integration across existing enterprise ecosystems while supporting scalable data processing requirements. Organizations implementing these agentic systems aim to reduce operational overhead and processing complexity while maintaining accuracy in automated workflows. The systems are designed to handle standard business processes with reduced human intervention, utilizing machine learning models that can be trained on industry-specific datasets. The goal is to improve customer experience through more responsive service delivery and enhanced support system capabilities. The presentation will cover architectural frameworks, security considerations, and integration strategies essential for deployment in diverse regulatory environments. Attendees will gain insights into the technical foundations required for autonomous business process transformation, including considerations for compliance, data governance, and audit requirements across different jurisdictions. The session will also address implementation challenges, organizational readiness factors, and change management strategies necessary for enterprise adoption. This examination provides guidance for organizations seeking to leverage agentic AI technologies to transform their operations and competitive positioning in the evolving global digital economy.

Speaker

Naganarendar Chitturi

Senior Solutions Architect, Newrez