Design Conversational AI around the customer journey, operating model and economics — not around a bot feature list.
Where should Conversational AI remove friction, where should it augment people, and where should human interaction remain the better service design? The answer depends on the process, customer intent, knowledge quality, exception rate, operating ownership and economics — not only model capability.
A production Conversational AI program changes work allocation, knowledge ownership, quality controls, escalation paths, workforce demand, performance measures and governance.
Read the related insight →Containment and deflection are not the same as business value. A credible value case connects AI to demand, handle time, quality, conversion, customer outcomes, risk and cost-to-serve.
Read the AI ROI insight →Strong Conversational AI design includes knowledge grounding, human handoff, escalation logic, multilingual considerations, governance and the edge cases that determine whether customers trust the experience.
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