Your 3 biggest time sinks
Together we find the processes that cost the most time and lend themselves to automation.
Free and without obligation
In 30 minutes you will know what can be automated at your company.
In the automation check we look at your processes together and show you where automation and AI save the most time, and where they do not.
Automation check result
Example| Process | Time per month | Effort | Recommendation |
|---|---|---|---|
| Transfer inquiries into the CRM | 18 hrs | Low | Start now |
| Capture incoming invoices | 12 hrs | Medium | Start now |
| Create the weekly report | 4 hrs | Low | Later |
| Calculate quotes | 9 hrs | High | Not worth it |
How much time does a single process cost you?
Take a task that repeats every week, for example transferring inquiries into the CRM. The maths is simple, but usually surprising.
Your own estimate
Time per month
35 hrs
for this one process
Time per year
416 hrs
based on 52 working weeks
Time freed up per year
250 hrs
at 60% that can be automated
A plain calculation based on your input. How high the automatable share really is in your case is something we clarify in the check.
What you take away from the check.
A realistic assessment
You learn what is feasible, where to start and where automation is not worth it.
Next steps to take with you
After the call you get a short summary by email, whether or not we end up working together.
- 1
Pick a slot
You book a free 30-minute slot, no preparation needed.
- 2
Look at it together
In a video call we go through your recurring tasks.
- 3
Get the result
You receive your overview with priorities and rough effort estimates.
What AI changes in everyday work.
No promises of our own, just results from independent research.
60-70%1
Share of total working time100%
+15%2
Without AI assistantBaseline
With AI assistant+15%
-40%3
Without AIBaseline
With ChatGPT-40%
- 1McKinsey Global Institute (2023): The economic potential of generative AI. The next productivity frontier. McKinsey & Company.
- 2Brynjolfsson, E., Li, D., Raymond, L. (2025): Generative AI at Work. The Quarterly Journal of Economics, 140(2).
- 3Noy, S., Zhang, W. (2023): Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654).
30 minutes well spent.
Book your free check. Or take a closer look first at how we work.