In a recent LinkedIn post, Noemi Kis✨ explores the advancements in voice AI for customer service, highlighting the capabilities of PolyAI’s specialist AI, Raven, in contrast to more generalist models like ChatGPT and Claude. Kis✨ emphasizes a significant shift occurring in how AI can interact with and resolve customer issues in real-time.
The post begins by drawing a parallel to the predictive text feature in Gmail, noting how this technology has evolved to anticipate customer needs during service calls. Kis✨ points out the potential for AI to streamline customer interactions dramatically.
“You know that autocomplete feature in Gmail that finishes your sentences? Now it’s voice AI that picks up customer service calls and actually resolves issues. No hold music. No ‘press 1 for billing.’ Just: ‘How can I help you today?’ And then it actually helps.”
The Rise of Specialist AI in Customer Service
Kis✨ argues that the key differentiator for Raven lies in its specialization. Unlike generalist AIs that are designed for a wide array of tasks, Raven is built with a singular focus: customer service resolution. This specialization, according to Kis✨, leads to tangible performance improvements.
Performance Metrics: Speed and Execution
The author contrasts the response times and functionalities of generalist AI models with Raven. Kis✨ highlights that while generalist models might take longer to respond and often describe actions rather than performing them, Raven offers near-instantaneous responses and direct task execution.
As Kis✨ notes:
“Generalists (ChatGPT, Claude) → Responds in 2+ seconds → Write paragraphs as answers → Say they did something without actually doing it”
The post then presents Raven’s capabilities:
“Raven: → Responds in under 500ms → Speaks like a human- concise and natural → Executes the tasks”
This distinction is crucial, Kis✨ suggests, because it moves beyond mere conversational ability to actual problem-solving within the customer service context.
Beyond Conversation: AI That Acts
Kis✨ emphasizes that the true innovation is not just in understanding and responding, but in executing specific customer service tasks. This includes actions like checking order statuses, booking reservations, processing payments, and updating account information.
According to Kis✨, the ability of Raven to perform these actions while the customer is still on the line represents a significant leap forward. This is not about generating text or code, but about facilitating real-world transactions and resolutions through conversation.
In Noemi Kis✨’s view:
“Not internet text. Not code. Actual conversations with actual customers. This is what happens when you build AI for one thing and make it exceptional at that thing.”
This perspective underscores the value of focused development in AI, suggesting that true breakthroughs in specific applications come from deep specialization rather than broad applicability. The implication for businesses is clear: specialized AI solutions may offer a more effective and efficient path to enhancing customer experience.
📝 About This Content
This article is based on insights shared by Noemi Kis✨ on LinkedIn.
📅 Originally posted on December 19, 2025 | View original post on LinkedIn →