Most enterprise chatbot projects that fail in 2026 do not fail because the AI was inadequate. They fail because the business treated a custom AI chatbot like a software purchase rather than a system design decision. Retrieval-Augmented Generation and large language models have fundamentally changed what conversational AI can do for customer experience, but they have also raised the stakes on architecture, governance, and total cost of ownership. Gartner projects that conversational AI will save $80 billion in contact-center labor costs by 2026. The question for CIOs and product leaders is not whether to build, but how to build it right and at what cost.
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