Glossary · AI in business

AI Automation

In short

AI automation means recurring workflows run automatically, and AI takes over steps that used to need understanding. For example, it reads receipts or sorts emails.

Explained simply

Classic automation follows fixed rules. An example: every invoice above a certain amount goes to the managing director for approval. That works as long as the data is clean and always structured the same way.

AI automation can also handle messy information. It reads a scanned invoice, for instance, recognises supplier and amount and enters both into the system. A person only checks the cases where the AI is unsure.

Typical examples from our AI Solutions are quotes and contracts, receipt checking, and CRM and sales. A CRM is the software in which you manage your customer contacts.

What does this mean for your business?

AI automation pays off fastest for recurring, text-heavy tasks with clear rules. Start with a single workflow and measure the benefit. Then decide on the next step.

Data protection matters too. Clarify which data an AI step may process and where it is stored. A person should still approve important decisions. You measure the benefit in time saved or fewer errors, for example.

Frequently asked questions

What is the difference between AI and automation?
Automation carries out fixed steps. AI can understand and classify content, such as a text. AI automation combines the two: fixed workflows with AI steps in between.
What are the disadvantages of automation?
An automation needs maintenance when systems or processes change. AI steps can make mistakes. That is why a person should check important decisions.

How JJW helps

AI in business

We build AI automations for specific business processes, matched to your systems and your data protection.

See AI Solutions →

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Author: Jeremy James Wilhelm