The #1 AI behavior hurting your customers’ experiences

AI customer service most often damages customer experiences when it loses conversational context as customers move between channels, with 40% of businesses identifying this as a leading cause of dissatisfaction, alongside limited empathy, poor handling of exceptions, and irrelevant responses. The article argues that these failures are primarily infrastructure and identity-resolution problems rather than shortcomings of AI models, since chat, voice, email, and SMS systems commonly store separate session histories and customer identifiers. Consumer data reflects the impact: many customers must repeat themselves, reach human agents without prior context, or abandon interactions when systems fail to recognize them. It recommends attaching context to persistent customer profiles rather than individual sessions, unifying channel histories, synchronizing new information in real time, resolving identities before interactions occur, and measuring repeat explanations, recognition rates, and transition-specific abandonment to identify and improve broken cross-channel experiences.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.