# Introduction to Automations ## Automations is designed for AI Agents Whether you need a support assistant that drafts complex ticket resolutions or a background agent that orchestrates multi-system order processing, Ebbot Automations provides the infrastructure. Instead of rigid "if-then" logic, our platform treats **LLM Nodes** as first-class citizens. This allow you to: * Use LLMs to determine the best next step based on the context of a conversation or ticket history. * Automatically summarize logs, classify sentiment, and extract key entities from free-text inputs. * Let AI agents act as the connective tissue between customer support platforms, order processing systems and your internal APIs. ## Responsive and event-driven automations Ebbot Automations is designed to be highly responsive to your business environment. Your workflows can react to a wide variety of signals across your connected systems—whether it’s the moment a new ticket is created, an incident is updated, or any other critical event occurs within your stack. This event-driven approach ensures your agents are always active exactly when and where they are needed. ## Automations combines precision with intelligence Ebbot Automations isn't just for AI. It's also a robust engine for traditional, static workflows. You can build deterministic processes where precision is paramount, while seamlessly injecting AI intelligence where it's needed most. This hybrid approach allows you to maintain strict control over business-critical steps while leveraging LLMs for tasks that require human-like reasoning. * Deterministic Logic through reliable, static flows for predictable data processing and system synchronization. * Augment your flows with LLM nodes and tools to handle edge cases, summarize context, or make complex decisions. * Monitor every execution to see exactly how your hybrid workflows and AI agents are performing. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.ebbot.ai/ebbot-docs/core-capabilities/automations/introduction-to-automations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.