Build vs. Partner: A three-year TCO analysis of multi-agent AI deployment for commerce at scale
Deep dive into AI economics for retail CX.
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.