Yellow.ai announced that it has launched Orchestrator LLM, an industry-first agent model that determines the suitable next step while engaging in personalised and contextually aware conversations.
By retaining context, the generative AI agent model enables faster and accurate issue resolutions, resulting in more than 60% increase in customer satisfaction.
As per the company, by retaining context, the generative AI agent model enables faster and accurate issue resolutions, resulting in more than 60% increase in customer satisfaction. Leading this innovation, Yellow.ai’s Orchestrator LLM directly tackles these challenges by:
Customer Experience Advanced Context Switching: Orchestrator LLM works better in context switching and engages in small talk, ensuring smooth transitions between queries for an uninterrupted user experience. By retaining past interactions within a memory window and revisiting original queries, Orchestrator LLM facilitates human-like conversations.
Zero Training for Maximum Operational Efficiency: It makes real-time decisions about activating the appropriate agentic workflow or conversational flow in response to user requests. This streamlining of processes significantly cuts operational costs by 60% and boosts agent productivity by 50%.
The company stated that it is making significant strides in developing multiple in-house LLMs for diverse customer service use cases. The company launched the YellowG LLM for zero setup, goal-oriented conversations, summarization, and Q&A answering, along with Komodo-7B, Indonesia’s first model for customer support in 11+ regional languages. With a less than 1% hallucination rate and an average response time of 0.6 seconds. Moreover, the company has deployed 150+ generative AI bots for enterprises, showcasing its robust generative AI capabilities and focusing on delivering AI-first solutions for customer service.
Raghu Ravinutala, CEO and Co-founder, Yellow.ai stated “Unlocking the full potential of LLMs requires a strong orchestration framework. Our Orchestrator LLM serves as a central integration hub, seamlessly collaborating with various AI tools and backend systems to deliver more cohesive and personalized customer experiences. The launch further underscores our commitment to developing multiple in-house LLMs and driving our mission to redefine the customer service sector through AI-first solutions that deliver human-like experiences autonomously.”
Eric Hansen, CIO, Waste Connections said “Orchestrator LLM can truly revolutionize the customer service industry. Its ability to anticipate customer needs and deliver instant, relevant responses will boost customer loyalty and operational efficiency.”
