AI agents: Customer Service
8 production-ready agents in Customer Service. Each one describes what it does, a practical example, the effect month by month, a payback calculation tied to a real role, and the systems it reads data from.
Analyzes inquiries and identifies the root causes generating workload.
Classifies and routes requests by topic, urgency, and customer.
Processes incoming customer calls: order statuses, availability, common questions, by voice, 24/7.
Answers typical customer questions 24/7, escalates complex issues to an operator.
A 24/7 bot in Viber and Telegram answers typical customer inquiries: prices, fuel availability, application status, fuel card balance. Escalates complex questions to an operator.
Personal cabinet-assistant for B2B clients: requests, delivery statuses, documents, reconciliations, balances. Operates with strict RBAC for each client.
Evaluates dialogues against a checklist and highlights areas where service is lacking.
Prompts the operator in real-time: ready answers, client data, next steps, email drafts - the operator works faster and more accurately.