Definition

What is AI Automation?

AI automation combines artificial intelligence models with workflow automation to handle tasks that require judgment, language understanding, or pattern recognition. It extends what traditional rule-based automation can do.

How it works

Traditional automation follows fixed if/then rules. AI automation adds a layer of intelligence, allowing systems to classify emails, summarize documents, score leads, or extract data from unstructured sources. Large language models (like GPT-4 or Claude) are commonly integrated into automation pipelines via API calls. For example, an AI automation might read inbound support emails, categorize them by urgency, draft a response, and route the ticket to the right team. The AI handles the interpretation while the automation handles the routing and execution.

Last updated: March 2026