Prepare weekly reports without repeating the same copy-and-paste work
If the same report needs similar exports and spreadsheets every week, its preparation may be suitable for automation. I help Swiss SMEs, agencies and project teams bring together agreed data sources and prepare understandable reports. The goal is not simply an attractive document: figures must be comparable and missing information must remain visible.
Discuss your workflowChoose a report with a clear purpose
A useful starting point is a recurring operational report with named recipients: project hours, open tasks or the status of active customer projects. We first define the decision the report should support. Financial consolidation, regulatory submissions and ESG reporting are not automatically included; they require a separate professional assessment.
From source data to defined metrics
Inputs may come from accessible interfaces, approved exports or structured spreadsheets. Before implementation, we agree reporting periods, time zones, units, project mappings and the definition of each metric. Conflicting figures require an agreed authoritative source. A language model does not improvise which number is correct.
Example using fictional data
A short weekly report with a visible gap
Not a client case study or a real project result. All details are fictional.
Input Fictional time and task lists for 12–18 October 2026. Checked as of 19 October 2026, 08:00 (Europe/Zurich).
Preparation Entries for the same week are grouped by project; recorded hours are added and open tasks are counted as of the check time.
| Project | Recorded hours | Open tasks |
|---|---|---|
| Project A | 12 h | 3 |
| Project B | 8 h | Missing |
Checked summary
A total of 20 h is recorded (12 + 8). Project A has 3 open tasks. The task list for Project B is missing, so a total number of open tasks cannot be reported.
Your approval → output The project leads check the period, project mapping and data gap. The report remains a draft until the gap is resolved and is shared internally only after approval.
If a source is missing “Missing” stays “Missing”, not 0. The task list for Project B is requested again; no invented trend or unchecked total.
Check freshness and calculations before publication
Before producing the report, the workflow checks retrieval times, expected records and available reporting periods. Duplicate entries, missing project mappings and implausible totals are flagged. A failed data request must not appear as zero hours or a completed task. Stale data is labelled; the agreed rules may require publication to stop.
Calculated metrics follow traceable rules. Written summaries may describe supported figures but must not invent explanations for changes. You review the draft before it goes to the intended recipients. Particularly sensitive reports can require approval from an explicitly named responsible person.
Outputs and handling failures
The output may be a spreadsheet, PDF or presentation. We agree which details belong in it and who receives access. A concise report can refer back to its supporting data, so a question does not end at an isolated number.
If a source is unavailable or definitions do not match, the workflow creates a visible exception with a named owner. Retries, manual corrections and reissuing the report need clear rules. A previously successful report is not evidence that the current run is complete.
Requirements for a manageable pilot
I need an existing example report, metric definitions, anonymised sample data and people responsible for the sources. Access permissions, storage, retention and distribution are limited in advance. We start with one report rather than promising a comprehensive data platform. If proposal or shared-inbox data should feed into it, those workflows are assessed separately.
Which report starts from scratch every week?
Describe recipients, data sources and manual steps. An anonymised example helps define a practical scope.
Discuss your reporting workflowFrequently asked questions
Does every report need AI?
No. Data transfers and calculations often need only fixed rules. AI may help produce a written summary, but it does not replace metric definitions or data checks.
What happens if a source is missing?
The report identifies the gap or is held back, depending on the agreed rule. Missing values are not silently replaced with zero or an invented estimate.
Can I keep my existing report?
That is often sensible. I assess which parts are reproducible, which remain manual and whether the existing format can include the necessary source and freshness information.