# Chatbot, Telegram bot, or AI agent: how we choose for a business Canonical HTML: [https://agents.chota.by/en/blog/ai-agent-vs-generic-chatbot]() Language: en Guides Published: 2026-04-22; modified: 2026-07-22. Author: [Chota Team]() — Product editorial team This article was prepared by the Chota team. Product claims were checked against the platform's current capabilities, while external facts were checked against the primary sources linked on the page. Material changes are reflected in the update date. Historical post: capabilities and terms reflect the publication date. The current voice pilot is connected with the team. [Current product]() [Current pricing]() We first map the channel, the customer's next step, and where data is recorded. Only then do we choose a chatbot, Telegram bot, or connected AI agent. ![Comparison of a scripted chatbot, a standalone Telegram bot, and an AI agent connected to booking and CRM]() ## Where a scripted chatbot stops A button-based chatbot works well when branches are known in advance: choose a service, open an instruction, or leave contact details. It is predictable and often cheaper than a complex solution, but it handles free-form wording poorly and becomes difficult to maintain as exceptions grow. A standalone Telegram bot fits a process that stays inside one channel. If a staff member still copies the result into a CRM, calendar, or spreadsheet, the workflow bottleneck remains. ## What an AI agent adds A Chota AI agent uses business materials, supports free-form dialogue, and can connect the conversation to a next action such as lead qualification, booking, or structured handoff into a working system. That does not make the agent an autonomous employee without boundaries. Financial, medical, legal, and unusual decisions need a controlled transition to a person. ## Our selection rule We choose the smallest sufficient solution. Stable branches point to a scripted bot. One channel with custom logic may call for a Telegram project. Knowledge, free-form dialogue, and actions across several systems are signals to evaluate an AI agent. - How many channels and knowledge sources participate in the process. - Which observable next step should follow the reply. - Where and how a staff member takes control. - What happens when an integration fails or evidence is insufficient. ## Sources - [Chota product]() - [Chota services]() [How we launched the Chota knowledge base and where its limits are]() [Chota roadmap: what we started in April 2026 and do not yet call finished]()