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Build vs. Partner: A three-year TCO analysis of multi-agent AI deployment for commerce at scale

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Deep dive into AI economics for retail CX.

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Deploying generative & agentic AI in high-volume commerce environments is no small feat. With millions of monthly active users across multiple languages, categories and channels, brands face a pivotal decision: build a custom AI stack from scratch or partner with a purpose-built CXaaS platform?

This whitepaper explores the Total Cost of Ownership (TCO) over three years for deploying a multi-agent AI system, comparing the build-it-yourself path with partnering through Tata Communications’ CXaaS offering powered by Vayu Cloud.

What You’ll Learn:

  • Breakdown of AI deployment costs: Data preparation, model training, agent development, inference, and orchestration.
  • Build vs. Partner comparison: Discover how partnering with Tata Communications’ CXaaS powered by Vayu Cloud can reduce TCO by up to 40%.
  • Deep dive into multi-agent architectures: Explore how orchestrated AI agents deliver speed, scale, and specialisation.
  • Practical frameworks: Step-by-step guidance to estimate your own AI deployment costs over a 3-year horizon.
  • Enterprise-grade insights: Designed for decision-makers in retail, e-commerce, digital transformation, and IT strategy.