What is Intelligent Automation?
Turkish: Akıllı Otomasyon
Intelligent automation adds AI to rule-based workflows to automate document, message, classification, and decision processes.
What Is Intelligent Automation?
Intelligent automation extends rule-based automation with AI, machine learning, OCR, natural language processing, and decision support. The goal is not just to create a robot that clicks buttons, but to design workflows that can interpret unstructured documents, emails, requests, and conversations.
For example, reading an incoming invoice with OCR, matching the supplier against ERP records, sending mismatches for approval, and posting valid records to accounting is an intelligent automation scenario. Classifying support tickets, summarizing contract clauses, or scoring sales opportunities can be handled in a similar way.
Core Components
Intelligent automation often combines RPA, workflow orchestration, API integrations, data validation, LLM-based text processing, and human approval steps. Tools such as n8n can support low-code orchestration; critical decisions should include audit logs and rollback paths.
What to Watch
Model output should not be treated as perfectly correct. Without confidence scores, human review, data privacy controls, compliance checks, error queues, and performance monitoring, automation can accelerate the wrong decision.
Related Terms
Hyperautomation combines RPA, AI, process mining, and integrations to automate end-to-end business processes across multiple systems.
LLM (Large Language Model)An LLM is a model trained on large text datasets that can understand and generate natural language, forming the basis of tools like ChatGPT.
n8n (Workflow Automation)n8n is a workflow automation tool that connects APIs, databases, and business apps through visual nodes, schedules, and event triggers.
RPA (Robotic Process Automation)RPA uses software bots to perform repetitive, rule-based office tasks through screens, forms, and existing business applications.