The aim of the paper was to present the development and implementation of a chatbot in the Python programming language in the field of banking. A digital assistant (chatbot) is a system that mimics a person's conversation through textual or audio interaction. In industry, they are increasingly used to solve simple search tasks, both in the business and consumer environment. Implementing a chatbot can reduce business costs by reducing the workforce or reassigning staff for other jobs, it can increase the quality of business. We divide chatbot systems into two main types: a rules-based system and an artificial intelligence-based system. In a rule-based system, the rules for digital assistant-human interaction are clearly defined, the digital assistant's responses are fully predefined, and are returned to the user based on the identified keywords of his query. The system based on artificial intelligence uses machine and deep learning to give a person in conversation with a digital assistant the experience of talking to the right person, where as a real person, the digital assistant knows how to recognize grammatical errors and continue to understand the meaning of queries. The main disadvantage of this system is the possibility of a predefined flow of communication.