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 process
Where a person is needed - and where they no longer are.
Step 01ClaudeLab
Data sources
Intake
Step 02ClaudeLab
Analysis
Checking
Step 03ClaudeLab
Report
Output
The difference
The same process, once as it is today and once with us.
Step 01 · today
Step 01 · with us
Step 02 · today
Step 02 · with us
Step 03 · today
Step 03 · with us
What we build
- Component 01
- Figures are pulled from the source systems automatically.
- Component 02
- The existing template is filled in - no new format is forced on you.
- Component 03
- Anything conspicuous is named, but not judged.
Degree of autonomy
Compilation runs independently. The judgement stays with people - explaining a figure is management work, not arithmetic.
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
What does it cost to automate reports and analyses?
From €6,900 for the first process, from €4,900 for each further one in the same project. The firm price follows the audit (€2,500, credited against the project) - before that, any number would be a guess.
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.
Tell us where your time goes.
In the audit we record the process, work out what is worth automating, and you get a plan with fixed prices - credited against the build if you go ahead.