The same task is done by hand every week
Transferring quote data, sorting inquiries, writing status updates. Each one takes minutes, together they cost days, and nobody counts them.
Goal · Automate processes
Automate the work that repeats.
Not every process should be automated. With you, we choose a task that repeats, clarify benefit and cost of errors, check the data, build a pilot, handle edge cases, and name an owner.
Analyze my shop
Initial consultation: we find the one task the pilot starts with.
How you'll notice
Three signs that automation is overdue, or was started the wrong way
What rarely happens got automated
A lot of effort for a special case that occurs three times a year. The frequent, boring task keeps running manually.
The automation knows no edge cases
It works for the standard case. In an exception, it quietly does the wrong thing, and nobody is responsible.
How we proceed
From task to pilot with owner
Example process. Which task comes first is decided by frequency, benefit, and data situation, not by technology.
- 01
Choose a task
Frequent, rule-based, clearly bounded. We gather candidates with the team and choose one, not five.
- 02
Clarify benefit and cost of errors
How much time does the automation save? What does a mistake cost? Together they determine how much safeguarding is needed.
- 03
Check the data
Is the required data available, complete, and in the right system? If not, the work starts there.
- 04
Build the pilot
The task is automated for the standard case, with human approval at the critical point and agreed test criteria.
- 05
Handle edge cases
What happens with missing data, unclear inputs, or system errors? Every edge case gets a defined path, usually to a person.
- 06
Name an owner
One person monitors the automation, receives error alerts, and decides on adjustments.
What you hold in your hands
A pilot that runs in daily work
Task selection with reasoning
Why this task first: frequency, benefit, cost of errors, data situation.
Running pilot
The automated task with approval points and test criteria.
Edge case list
Identified exceptions and their defined path.
Operating rule with owner
Who monitors, who receives error alerts, who decides on expansion.
Assessment
We don't automate decisions. We automate preparation.
Where money, customers, or contracts are involved, a person decides. The automation handles collecting, transferring, and preparing, and reports when something doesn't fit. We don't cite time savings in percent.
Frequently asked questions
Clearly answered.
Which task suits the first pilot?
One that comes up often, follows clear rules, and whose cost of errors is manageable. It's rarely the most spectacular, but it's the one where the benefit shows quickly.
Do we need AI for this?
Not always. Many tasks can be automated with simple rules. AI is used where inputs are unstructured, such as pre-qualifying inquiries. We choose the tool based on the task.
What if the pilot doesn't work?
Then the test criteria show what went wrong: the data, the task choice, or edge cases. You decide whether to adjust or stop, without anything left hanging in operation.
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