Technical SME

From 4 hours to 20 minutes: automating reporting in a technical SME

Guided Automation · Duration: 5 weeks

In summary

The context

Technical SME

20 people

Data spread across 3 systems

Manual weekly report

The problem

4 hours/week to produce the report

Data aggregated by hand from 3 systems

Constant risk of copy-paste errors

The result

Report in 20 automatic minutes

Zero manual intervention

Data always up to date in real time

Context

The context

A technical SME with 20 employees. Every week, one person spent 4 hours aggregating data from three different systems to produce the internal operational report.

The process worked but was costly, risky and not scalable. If that person was away for a week, the report arrived late or didn't arrive at all.

Analysis

The problem

This case was different from the others: the process was already clear. There was nothing to redesign — there was something to automate.

The analysis confirmed the flow was solid: the person who ran it knew exactly what to do, in what order, with which data. The problem was that they did it by hand. Every week. For years.

What the Audit found

·

3 systems with data not synchronised with each other

·

Manual export from each system + aggregation in Excel

·

No automatic check on errors or missing data

·

Dependency on a single person to produce the report

Intervention

The intervention

Analysis and tool selection

week 1

Analysis of the existing flow and the three systems involved. Evaluation of the available integration options. Choice of n8n for connection flexibility and ease of future maintenance.

Implementation

weeks 2–4

Development of the three data-extraction flows, aggregation logic and automatic validation. Testing with real data from the last 8 weeks to verify the correctness of the results.

Training and launch

week 5

Training session with the process owner and their backup. Complete system documentation. Follow-up in the first 3 weeks after activation.

Results

The results

4h→20'

Report production time

−100%

Manual intervention

Real-time

Data updates

What concretely changed

The report generates itself every Monday morning. In 20 minutes. Without anyone having to do anything.

The data is always up to date — not only when someone has time to update it. And the system includes automatic validation: if data is missing or there are anomalies, a notification arrives before the report is distributed.

The person who used to run the manual process now uses those 4 hours for something else.

Something I didn't expect

This case confirms something I've learned over time: not everything needs to be redesigned before being automated. When the process is already clear and works, automating it is the right move. The difficulty is recognising when you're in this case and not jumping to the conclusion that "just automate it" when the process still needs fixing.

Does your situation remind you of this case?

It doesn't have to be identical. Tell me what your process looks like now and I'll tell you honestly whether I can help.

Write to me →