In this series, AI Start — Understanding AI without a technical background, we explore step by step what AI is, how it works in everyday work processes and how professionals can use it consciously and responsibly.
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Three layers in digital systems
When organisations introduce AI, confusion often arises.
Some systems are called AI when they are not.
It helps to distinguish three layers:
- Workflow
- Automation
- AI
Workflow
A workflow describes how work flows through processes.
For example:
- A customer sends a question
- The question is read
- Information is looked up
- An answer is sent
This process is a workflow.
Automation
Automation means software performs tasks based on rules.
For example:
- forwarding an email automatically
- checking a form
- saving a document in the right folder
The system simply executes rules.
AI
AI comes into play when software needs to interpret information.
For example, when a system needs to recognise:
- what an email is about
- the main points in a document
- which information is relevant
AI does more than follow rules.
It interprets information.
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How these three work together
In practice, workflow, automation and AI often work together.
For example, in a customer-service process.
Workflow:
- A customer sends an email
- The question is registered
- An employee handles the question
- The answer is sent
Automation:
- the ticket automatically receives a number
- the question is assigned to an employee
AI:
- the email is summarised
- the system recognises the subject
- a draft answer is proposed
AI does not replace the entire process here.
It supports particular steps.
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Why the distinction matters
When professionals understand this distinction, they can better assess:
- what technology can and cannot do
- where automation is sufficient
- where AI adds value
AI rarely stands alone.
In practice, AI almost always works within existing workflows.
Summary
Digital systems often consist of three layers: workflows, automation and AI. Workflows describe processes, automation executes rules and AI helps interpret information.
In the next article, we explore how AI appears concretely in professionals’ everyday work.