Intent-Less Architecture Built for the Enterprise
Focus on resolving employee issues quickly and efficiently with our intent-less platform architecture, powered by enterprise-ready AI and our secure BaristaLLM.
understood
Leverage the Best Language Model for the Task
BaristaLLM is our domain-specific large language model that has been optimized for the employee domain and securely grows from every interaction. The language model has been trained across 15 enterprise departments and in over 100 languages, and is enhanced by customer content, such as internal knowledgebases, intranet sites, ticket/chat history, and service catalogs. Because of this, we ensure all customer data is handled with maximum encryption and compliance.
BaristaLLM is a secure and private language model that enables our Barista platform to not only understand employee language, but also provide the best outcome based on context and content. When employees ask questions that are better answered by a real-time data source such as the web or a public LLM like ChatGPT, BaristaLLM can redirect these questions and tasks, as well as to other domain-specific or customer-built large language models. This enables Barista to deliver the highest resolution rate in the industry.
Focus on Solving Tasks, Not Building Intents
Traditional bot development involves intricate processes like creating entities, utterances, and intents, often requiring specialized and expensive developers. This complexity can be a significant barrier, especially for organizations looking to implement effective virtual agents without a large team.
Espressive addresses these challenges by eliminating the need for complex intent creation and offering a more streamlined, scalable solution. BaristaGPT, our intent-less platform architecture, is designed to hide the complexities of ITSM. Whether employees are using forms, chat, or any other interface, they can describe their issues in their natural language. Our platform—powered by BaristaLLM—automatically determines the appropriate action, whether it’s an incident, a service request, or another type of inquiry. This means employees don’t need to know the specific nature of their issue or how to navigate complex categories—they just get the help they need.
Fastest Time-to-Value
Understand language with a high degree of accuracy.
Barista leverages our LLM to analyze conversations across over 20 different criteria to understand the full context of what users are asking. This includes language translation, multi-intent detection, content filtering, summarization, and more.
Retrieve all potential answers, all at once.
When employees ask questions, our LLM retrieves all content simultaneously, enabling our ensemble model to choose the best answer based on content and context. In addition, built-in context switching enables the model to change tasks when added context or new questions changes the initial prompt.
Select the best outcome for the highest resolution rate.
Our ensemble model chooses the best outcome based on content and context. And with the ability to have multi-turn conversations, Barista can retrieve knowledge, run automations, and provide insights all in one employee conversation. The result is resolution rates of 67% or higher.
Learn More About Espressive Architecture
Predictive and multi-turn experience.
Our ensemble model, the Barista Experience Selector, combines generative AI and other AI technologies to make real-time decisions on the best possible outcome for the highest deflection rate.
Architecture that adapts and scales
Espressive architecture uses our private BaristaLLM by default, but custom or proprietary LLMs can be easily utilized. In addition, public LLMs can be securely accessed to further increase productivity.
Securely growing and
learning.
BaristaLLM is supplemented with your internal content and knowledge, which is why we make sure it’s handled in a secure way, compliant with the most stringent security protocols.
