Short answer
AI automation is software that reads unstructured input, decides what to do with it, and completes the task inside your existing tools. Traditional automation moves data between systems when the format never changes. AI automation handles the email, the PDF, the scan and the exception, which is where most of the work actually sits.
Key takeaways
- AI automation reads what was never structured: emails, PDFs, scans, spreadsheets.
- Rule-based automation stops at the exception. AI automation asks a person and continues.
- Most companies start with invoices, email replies, reporting, proposals or data entry.
- Four to eight weeks from the first call to a system in daily use.
What AI automation does that rules cannot
It reads what was never structured
A freight order arrives as a paragraph with a PDF attached. The system pulls the addresses, the dates, the goods and the price out of it and writes an order into the CRM. We built exactly that across eight European markets and five freight modes.
It decides
A price request and a booking look alike in an inbox. The system tells them apart and asks before it books anything.
It handles the exception instead of stopping
When the cargo ready date is missing, it emails the sender, waits for the answer, and continues the same job when the answer comes back.
It applies your rules, not generic ones
The same system knows that a reference number goes in Notes and a truck plate goes in its own field, because somebody wrote that down once.
AI automation and traditional automation
| Traditional automation | AI automation | |
|---|---|---|
| Input | A fixed form or field | An email, a PDF, a scan, a spreadsheet |
| Rule | Written by a person in advance | Learned from your documents and your past work |
| Exception | Stops and waits | Asks the sender, then continues |
| Fails when | The format changes | The task was never defined |
Both have a place. A step that copies a form into a sheet does not need a model. The order email a customer wrote in their own words does.
Where companies start
The first automation is almost always one of five.
- 1Invoices and documentsOut of a PDF or a photo and into the accounting system, with the exceptions flagged for a person.
- 2Email repliesDrafted in your tone, from your own documents, for someone to check and send.
- 3ReportingScattered files and exports turned into one summary on a schedule.
- 4Proposals and quotesPulled from your templates, pricing and past work instead of written from a blank page.
- 5Data entry between systemsThe order, the candidate, the ticket, keyed once instead of twice.
What that returns, from builds we have delivered: 60% fewer repeated internal questions at an accounting firm, about 1,380 hours a year at a recruiting firm, 10k+ videos a month reviewed at an automotive data company, and 55,200 EUR a year across five departments at one company in a single day of building.
What you need before you start
- One process that repeats. If it happens twice a month, it is not the place to start.
- Your rules written down. Not perfectly, but written. This step decides whether the output is usable, and it is the one everybody skips.
- Access to the tools the work lives in. Email, drive, CRM, project tool. The work has to be done where it already happens.
- Somebody who owns it. A system with no owner is stale within a month.
How long it takes and what it costs
Most builds take four to eight weeks from the first call to a system in daily use. Cost follows the work, and we quote a fixed price once the process is mapped. Licences are separate and you buy them directly.
