Glossary

AI Automation System

What is AI Automation System?

An AI automation system combines traditional process automation with AI capabilities such as understanding text, classification or decision support. This makes it possible to automate workflows with unstructured inputs too, such as emails, forms or enquiries. A typical setup is a chain of trigger, processing steps, conditions and output, with human approval at critical points. Example: incoming enquiries are automatically categorised, summarised and forwarded to the right department.

How KI.ordo helps

With KI.ordo flows, such systems can be assembled without coding from 12 building blocks and started by click, API, webhook or schedule, with every step logged.

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Topics

Automation
Processes
Workflows

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Related terms

No-code

No-code refers to tools that let people build applications, automations or websites through graphical interfaces without writing program code. Business teams can implement and test processes themselves instead of waiting for IT development. Limits appear with very specialised requirements, large data volumes or deep integrations. Example: a sales team uses drag and drop to build a flow that sorts and summarises new enquiries.

automation
tools
+1

Intelligent Agents

An intelligent agent is a system that perceives its environment, processes information and chooses actions on its own in order to reach a goal. Today the term usually refers to software built on large language models that follows instructions, draws on knowledge and calls tools such as a search function or an API. How much an agent may do independently should be decided deliberately. Example: an agent answers customer questions using the product documentation.

Agents
Autonomy
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Customer service automation

Customer service automation means having software handle recurring customer enquiries fully or partly – for example through chatbots, suggested replies or pre-sorting tickets. Common questions about opening hours, delivery status or returns can be answered around the clock, while the team gains time for difficult cases. Reliable knowledge sources and an easy hand-over to people are essential.

Customer service
Chatbot
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Template

Human-in-the-Loop

Human-in-the-loop describes workflows in which people step into an AI process at defined points: they review results, approve or correct them, or take over difficult cases. The principle reduces the risk of faulty output and keeps accountability with people, especially for decisions affecting individuals, money or legal matters. Example: an AI agent drafts replies to customer enquiries and a member of staff checks them before they are sent.

Approval
Oversight
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