Automation

Technical terms
About 1 min read

A process that minimizes human intervention and runs tasks independently through technology. It has evolved from classical methods that follow simple, repetitive rules to intelligent automation, where AI assesses situations and processes complex workflows.

Also known as
AutomationWorkflow automationWorkflow Automation

Detailed explanation

Automation is a technological means to increase productivity and reduce errors by allowing systems to operate on their own according to set algorithms or logic. While automation in the past centered on RPA (Robotic Process Automation) performing simple, repetitive tasks, today's core focus is 'autonomous automation,' which integrates with Large Language Models (LLMs) to interpret unstructured data and decide execution sequences on its own. Through this, businesses not only cut simple operating costs but also establish environments where humans can focus on high-value tasks such as data analysis and strategic decision-making.

Why it matters in tool selection

When choosing automation tools, 'scalability' and 'flexibility' are more critical than mere 'feature implementation.' Since fixed rule-based tools are vulnerable to changing business environments, priority should be given to AI integration capabilities that can handle unstructured data, as well as connectivity with the existing API ecosystem.

Checklist for implementing automation

  • Does it connect seamlessly with various third-party apps through API integration?
  • Is there a feedback loop to detect exceptions (errors) and notify the person in charge?
  • Is it manageable (low-code) enough for business practitioners without coding knowledge to maintain?
  • Is the structure designed so that learned logic can be updated to reflect the latest data?

Intelligent automation workflow

  1. 01

    Trigger

    Detects conditions that initiate automation, such as receiving a specific email, data changes, or scheduling.

  2. 02

    Reasoning

    AI analyzes the input data to grasp the intent and context of the task to be performed.

  3. 03

    Action

    Performs actual tasks such as API calls, document creation, and data transmission based on the determined path.

  4. 04

    Verification

    Verifies whether the execution result matches the goal, logs the outcome, or passes data to the next step.

Real-world use cases

A workflow can be implemented where, upon receiving an inquiry email in customer support, an AI automation system analyzes the sentiment, classifies the category, drafts a response, and leaves it pending approval by the person in charge.

Commonly confused terms

RPA

Has a strong 'macro' nature, simply repeating user screen clicks or set rules.

AI Agent

An active entity that designs task sequences, selects tools, and executes them on its own when given only a goal.

Related terms

RPAAI Agent