n8nData and reporting

Automated client reporting

Monthly client reports assemble themselves from source systems, with the commentary drafted and a human approving before anything sends.

Starting price$1,350fixed against a written scope
Build window4 to 7 daysfrom access and answers
Hours returned20 a monthconservative end of the range
Payback2 monthsat $38 an hour loaded
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The problem

Why this exists

Reporting week eats two days. Somebody exports six dashboards, pastes them into a deck, writes the same four paragraphs with different numbers, and sends thirty near identical emails.

Trigger

Schedule on the second working day of each month.

The build

What it does, in order

  1. 01

    Pull the metrics

    Every source queried for the reporting window, with the prior period alongside for comparison.

  2. 02

    Compute the deltas

    Period on period and year on year, with statistical noise flagged so a 2 percent wobble is not written up as a trend.

  3. 03

    Render the visuals

    Charts generated server side to a fixed house style, so every client report looks like it came from the same company.

  4. 04

    Draft the narrative

    A model writes the commentary from the actual numbers, constrained to reference only figures present in the data.

  5. 05

    Queue for approval

    The account owner sees the assembled report with the draft commentary and edits before it goes anywhere.

  6. 06

    Distribute and archive

    Approved reports send to the client distribution list and file into the client folder automatically.

The guard rails

What stops it doing damage

This is the part that separates an automation that runs for years from one that quietly corrupts your data for a month.

  • The narrative model is given the numbers and forbidden to introduce any figure not in the payload
  • Nothing sends without a named human approval, recorded against the report version
  • Missing data sources produce a visible gap in the report rather than a silently omitted section
  • Prior period figures are snapshotted, so a late data correction cannot rewrite history

Honest limits

When this is the wrong automation

You have three clients. Three reports is an afternoon, and the automation will cost more than the afternoon for at least a year.

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Build
4 to 6 days
Saves
22 hrs a month
Returns
$836 a month
Payback
2 months

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