AI Dictionary › AI Fundamentals

AI Automation

Automazione AI

AI automation is the use of artificial intelligence to automatically perform tasks that traditionally required constant human intervention. It differs from traditional automation (based on rigid rules) in its ability to handle unstructured inputs, data variability, and situations requiring "judgment", characteristics made possible by modern language models.

Definition

Common AI automation applications in business include: automatic categorization and routing of emails and support tickets, data extraction from unstructured documents (invoices, contracts, reports), generation of first drafts of standard documents, automatic summarization of meetings and calls, monitoring and alerts on social media and news, and automated reporting from structured data.

The quality of AI automation critically depends on the quality of the prompts guiding the models at each step of the process. Organizations that invest in prompting training, like those using Grace for their teams, get AI automation systems that are more reliable, accurate and maintainable than those relying on generic prompts.

Related terms

• AI Workflow
• AI Agent
• API
• RAG (Retrieval Augmented Generation)
• Agora Intelligence

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

Put it into practice

• Real scenario: apply this concept with an instant AI verdict.
• Daily gym: short drills to train dictionary concepts.
• Playoff game: challenge other players, elimination-style.

📱 Download the Android app (beta) iOS coming soon

Say what you mean. Get what you need.

Grace Certified, the AI coach that trains and certifies your prompt engineering, by Agora Intelligence.