AI Assistant
Your digital assistant
In modern business, customers use various communication channels. Livecaller allows you to unify all communication channels—web chat, email, and social media—into one platform and manage all messages centrally
How does the AI assistant work?
Our digital assistant is built on the latest advancements in artificial intelligence—large language models (LLMs). These models are trained on trillions of words and can communicate in a natural, human-like way.
What truly sets our AI assistant apart is its use of a RAG system, which means dual intelligence: it not only relies on its pre-trained knowledge but also searches and retrieves information from your company’s database in real time. This technology combines the creative capabilities of an LLM with instant data retrieval from your knowledge base, ensuring maximum accuracy and guaranteeing that every response is based on the most up-to-date and relevant information.
Multi-agent intelligence
Solving comples tasks
Livecaller’s system uses Agentic RAG technology — the latest step in AI, where multiple intelligent agents work together to solve complex tasks. Simply put: imagine a team of experts, with each agent specialized in a specific task. This approach allows the system to run multiple search sequences, compare different sources, and provide the most accurate answer. For example, when a user has a complex question, the agents collaboratively process the request step by step
Search agent
Searches and selects relevant information
Analytical agent
Evaluates data and context.
Generative agent
Creates accurate, personalized responses
Routing agent
Decides where to route the query
Full integration with all communication channels
The digital assistant operates across all communication channels through a unified system — web chat, email, and social media (Facebook, Instagram, Telegram, WhatsApp, Viber). The system uses contextual memory technology, which allows the AI assistant to fully retain conversation context and user history when switching between channels.
The model’s rapid adaptation capabilities enable the system to assess the complexity of each request and automatically determine whether human involvement is required. This process is guided by a confidence evaluation system that accurately measures the AI’s certainty in the correctness of its response.
Predictive Analytics and Business Intelligence
The AI assistant performs deep analytics of customer behavior in several areas:
Pattern Recognition - The system automatically identifies trends in customer behavior and impressions.
Behavioral Analytics - It creates detailed profiles for each customer, enabling better service delivery
Predictive Modeling - It stores customer requests in advance and prepares proactive recommendations.
The system uses sentiment analysis algorithms that automatically assess the user’s satisfaction level and emotional state. Most importantly, predictive modeling technology, combined with the RAG system, enables the AI to anticipate customer requests in advance and prepare proactive recommendations.
Sales growth and efficiency optimization
The digital assistant operates on all communication channels with a unified system—web chat, email, social media (Facebook, Instagram, Telegram, WhatsApp, Viber). The system utilizes contextual memory technology, which enables the AI assistant to fully retain the context of the conversation and the user's history when switching between channels
The model's rapid adaptation capabilities allow the system to evaluate the complexity of every request and automatically determine whether human involvement is necessary. This process is carried out through a confidence evaluation system, which accurately measures the AI's certainty in the correctness of a specific answer.
