How it runs today
- 01Figures are gathered from several systems.
- 02A template is filled in, deviations are commented.
- 03The report is ready on the fifth - for a month that ended on the first.
Use case
Reports and analyses
Monthly reports, KPI overviews, analyses for the management: high effort, little variation, and still done by hand every time.
The case with the clearest time saved
The difference
The same process, once as it is today and once with us.
- 01Data sources
- 02Analysis
- 03Report
A person does itThe system does it
How it would run with us
- 01The figures are pulled from the source systems on the cut-off date.
- 02Your template is filled in and anything conspicuous is named.
- 03The report is ready on the first working day - for the month that ended on the first.
What it gets you
- The report is ready on the first working day, every month, in the same shape.
- Putting it together no longer costs anyone a day.
- What stands out is named - the judgement stays yours.
Where it does not fit
If the figures in the source systems are unreliable, a faster report only makes them wrong faster. Then data quality is the project.
Frequently asked
How long does implementation take?
3 to 5 weeks. Building it is usually the shorter half - the time goes into access, coordination and test cases.
What do we have to provide?
Read access to the systems the figures come from. An existing report as the template - structure, key figures, recipients. The definition of every key figure. In our experience that is the part that costs the most time. Nothing more is needed to start.
How will we know it works?
From verifiable criteria agreed before the build: Run three months retrospectively, the system produces the same figures as your previous report. Deviations are commented, not merely flagged. The report is ready on the first working day, not the fifth.
Does the AI decide on its own?
Compilation runs independently. The judgement stays with people - explaining a figure is management work, not arithmetic.
When is this not worth it?
If the figures in the source systems are unreliable, a faster report only makes them wrong faster. Then data quality is the project.
Which sectors does this suit?
In our experience particularly All sectors. The process itself is sector-independent, though - what matters is whether it repeats.
Let us start with a conversation.
You tell us where your time goes. We put it in writing: what is worth automating, and roughly what that costs.
