Cost Analysis of Multi-Agent AI Deployment for Commerce

This whitepaper presents a detailed analysis of the total cost of ownership (TCO) associated with deploying a multi-agent AI system for commerce at scale over a three-year period. It compares the financial implications of building an AI stack in-house versus partnering with Tata Communications' CXaaS offering powered by Vayu Cloud. The analysis indicates that partnering could lead to a potential 40% reduction in TCO while maintaining equivalent performance and control. The document outlines the complexities involved in deploying generative AI, including the need for a multi-agent system that can efficiently handle vast volumes of data and provide real-time, personalized customer experiences. It also discusses the architecture of a multi-agent AI system, the phases of an agentic AI project, and the various cost considerations that enterprises must account for when implementing AI solutions at scale. The paper aims to provide a comprehensive framework for understanding the financial aspects of AI deployment in a commercial context.