When we talk to companies, the first thing they tell us is almost always the same:

"There's not much to automate here."

Then, after half an hour of conversation, at least three or four tasks come out that the team repeats every day without even thinking about it anymore.

They aren't the "big processes" — invoicing, CRM, ERP. They're the invisible steps in between: copying data from one system to another, forwarding emails, chasing approvals, hunting for scattered attachments. Stuff nobody calls a "process," but that adds up to hours lost every week.

Here are five we see practically everywhere.

1. Sorting incoming emails

Every day emails arrive with requests, documents, questions, reminders. And every day someone reads them, figures out who to pass them to, forwards them, and hopes they get handled.

The result? Lost emails, late replies, one person acting as a "human switchboard" between departments.

What changes when you automate: emails are classified, routed to the right team, and turned into tasks (see the demo on request sorting and customer switchboard). Nobody has to act as a manual filter anymore.

2. Copy-pasting between systems

This is the world champion of hidden processes.

A piece of data arrives by email, gets copied into Excel, then into the ERP, then into the CRM, then into a report. Every step is a chance to make mistakes, waste time, and create inconsistent data.

What changes when you automate: data moves between systems on its own (see for example how the demo matching delivery notes and supplier invoices works). People stop acting as a "human bridge" between software that doesn't talk to each other.

3. Searching for documents and attachments

"Where's that invoice?" — "Who has the latest version of the contract?" — "Can you send me that attachment you received?"

It seems like nothing. But when it happens ten times a day, it becomes a serious problem. Not just for the time lost, but for the constant interruption of work.

What changes when you automate: documents and attachments are organized and automatically linked to customers, suppliers, or cases. Searching becomes finding.

4. Internal reminders and follow-ups

"Did you see my email?" — "Can you confirm that figure?" — "I'm waiting for the file to close the case."

In many companies, a huge share of time isn't spent doing the work, but keeping it moving. When the process depends on people's memory, timelines stretch and things get lost.

What changes when you automate: reminders, nudges, and deadlines go out automatically following agreed rules (check out the demo payment reminders and receivables). The team stops chasing and only supervises the critical cases.

5. Repetitive checks

Verifying that a document is complete. Checking required fields. Comparing data between two sources. These checks matter, but they're often predictable and always the same. Having an experienced person run them is a waste of expertise.

What changes when you automate: the system handles the simple cases and flags only those that really need attention. Your skilled people work on the exceptions, not on screening.

How to tell if it's worth stepping in

Not everything should be automated. But if a task:

  • repeats often
  • requires little human judgment
  • follows clear rules
  • involves several people or tools
  • causes recurring errors or delays

...you're probably paying to have it done by hand without realizing it.

The starting point

The right question isn't "where can we use AI?" It's much simpler:

"Which repetitive tasks cost us time every week without us noticing?"

In our experience, 30 minutes of analyzing the real workflow is enough to find at least one high-impact automation. Without upending anything, without changing your ERP.