Generative AI Chatbot
for Customers

CoSupport Customer is an AI Copilot for customer support. It integrates with business communication channels, such as e-mail, Slack, social media, website and app chats. Its task is response automation. The solution is based on a large language model (LLM) that ensures the solution’s features for quick, precise, and personalized responses.

The solution provides up to 100% of response automation. At the same time, you keep full control over the flow of requests and the fractions of automated and human-curated responses. In other words, an AI chatbot for customer support can be tailored to your business priorities. For example, we can tune the solution so that all refund requests are addressed by a human agent. Another example involves requests from potentially significant leads — we can automatically direct them to human agents. You determine which leads are considered significant.

CoSupport Customer automatically answers clients’ questions. Its “understanding” of the query crux and what information should be processed for precise and on-topic answers is based on a large language model (LLM) - a vast and very smart neural network.

Due to AI technologies that ground CoSupport functionality, the Copilot provides precise, relevant queries and personalized responses.

CoSupport Customer’s primary priority is to take over human agents by providing automated responses to requests. It allows human agents to handle the requests in which a human is irreplaceable: the complex answers requiring a high level of expertise or complaints and emotional queries.

Yes, the customer service AI chatbot provides precise and personalized answers. The following factors ensure such high-quality responses:

• powerful capacities of the LLM that grounds responses on the vast knowledge in different domains and exceptional ability to grasp nuances in queries;

• RAG approach that allows for LLM’s knowledge extension when the query requires highly focused and up-to-date information;

• CoSupport AI’s responsibility for the quality of embeddings (encoded data) and accurate matching of the data from the query and external vector database.

Within the RAG approach, CoSupport AI’s team feeds the LLM with external data focused on certain companies’ experiences and “market history”. Thus, CoSupport Customer’s answers are grounded not only in the general knowledge of the world and particular domain but also in the expert understanding of a particular company’s products and services and their advantages.

Unlike other AI-powered chatbots based on LLMs, CoSupport Customer provides a high level of data security on each level of the solution’s architecture:

• company’s data pipeline is on the CoSupport AI side, including data processing, data encoding and storing;

• your data is kept on the dedicated servers with close to zero risk of intrusion or data leakage;

• the databases connected to an LLM through APIs are built in a way that excludes data leaks or unauthorized access (jailbreaking);

• data related to different projects don’t overlap in an LLM’s “memory,” unlike solutions built on GPT or other well-known language models.

CoSupport Customer, a customer support AI chatbot solution, combines the advantages of a tool based on a large language model—which includes versatile knowledge and high context awareness — with the high level of security inherent in custom AI solutions.

The cost of Generative AI chatbot implementation includes two budget items:

• implementation fee that depends heavily on the systems, platforms, or CRMs we’ll integrate CoSupport Customer with;

• the monthly package, based on the number of responses with extra replies, charged an extra fee.

CoSupport AI offers individual budgeting for each and every project relying on the complexity of tasks and requirements.