Last updated:
09.03.2026
AI agent
An AI agent is an AI-powered system that independently performs tasks, makes decisions, and interacts with users – without constant human intervention. In business applications, AI agents handle tasks such as answering customer inquiries, qualifying leads, or processing bookings.
hellomateo uses AI agents directly in its WhatsApp channel: The integrated AI assistant answers incoming customer inquiries automatically and around the clock – precisely, scalably, and in line with the brand's tone.
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An AI agent (also: AI agent) is a software-based system that uses artificial intelligence to act, communicate, and perform tasks autonomously. Unlike simple chatbots that rely on fixed scripts, an AI agent can react contextually, learn from conversations, and initiate complex processes.
How does an AI agent work?
AI agents use Large Language Models (LLMs) and Natural Language Processing (NLP) to understand messages, generate appropriate responses, and trigger external systems as needed—such as a CRM system, a booking platform, or an online shop. They are capable of conducting multi-stage conversations and recognizing user intent.
AI agents in WhatsApp marketing with hellomateo
hellomateo integrates a powerful AI assistant directly into the WhatsApp channel. This AI agent automatically answers frequently asked customer questions, qualifies leads, escalates complex cases to human employees, and thus ensures efficient, scalable customer service. Companies benefit from shorter response times and lower support costs. Advantages of AI Agents in Enterprise Use: 24/7 Availability: AI agents work around the clock without breaks. Scalability: One agent can handle hundreds of conversations simultaneously. Consistency: Every response meets defined quality standards. Cost Reduction: Routine inquiries are automated without requiring human intervention. AI Agent vs. Classic Chatbot: Classic chatbots work with predefined decision trees and can only respond to precisely prepared scenarios. AI agents, on the other hand, understand natural language, interpret context, and deliver flexible, context-aware answers. This flexibility makes them particularly valuable for professional use in CRM and marketing.