System

Reporting automation that ends the monthly spreadsheet

Reporting automation replaces the two days somebody spends every month exporting, pasting and colouring cells. The report is usually right, and it is always late.

Platforms we use here
01 System

How the monthly report gets made

On the fourth working day someone exports the CRM, the accounting tool and two spreadsheets. Everything gets pasted into a master file that only one person understands.

Formulas break when a column moves. Numbers get corrected by hand, which means the version sent to the board is not reproducible next month.

By the time the report lands, the decisions it was meant to inform were already taken in a corridor.

02 System

What we build

First we agree the fifteen numbers that matter, with their definition written down. A metric with two definitions is the reason two departments argue about the same figure.

  • Data pulled on a schedule. n8n reads your CRM, your billing tool and your project system, then lands everything in Airtable or a warehouse table.
  • One dashboard people open. Looker Studio shows the live view by team, so nobody has to request a number to know where they stand.
  • A written note, not just charts. An AI model explains what moved against last month and flags what looks wrong, in two paragraphs.
  • Alerts before the month ends. Margin, cash or conversion crossing a threshold reaches Slack the same day it happens.

The board pack comes out of the same source as the daily view, which is how the two stop disagreeing.

03 System

What a person still does

Reading. A dashboard that nobody interprets is a screensaver with your data on it, and the value appears in the fifteen minutes somebody spends deciding what to do.

Definitions stay human too. When the business changes shape, a metric can quietly stop meaning what it meant, so each number carries an owner who reviews it.

An agency that pulled four disconnected systems into one view is covered in the Thesis case.

04 System

How long it takes

Four to five weeks from the first call, and the connections are the quick part. Agreeing definitions is what takes the time, because it is a management conversation wearing a technical costume.

We rebuild last quarter first, then check our figures against the reports you already sent. Nothing goes live until the two match, as the process section explains.

05 System

What we need to start

The AI and operations audit is where we find out which decisions you are trying to make, which is a better starting point than a list of charts. The plan arrives in two working days and its fee comes off the first project.

Bring last quarter reports and read access to the tools behind them. If the data lives in Airtable, the Airtable page covers how we work in it. Companies that want the reporting to keep evolving usually end up on Growth Partner.

06 Questions

What people ask before they start.

Do we need a data warehouse?

Rarely at this size. Airtable or a managed database handles the volume of a company of 10 to 100 people, at a fraction of the cost and the setup time.

What if our tools do not connect?

Most do through their API. When one genuinely does not, we say so during the audit and price the workaround instead of pretending it is free.

Can the AI be wrong about the numbers?

The figures come from queries, not from a model, so they are as right as your source data. The model only writes the commentary, and that part is always reviewable.

Who maintains this when something changes?

Your team can, with the documentation we hand over. Companies that would rather not do it take Protect, which stays optional and month to month.

Something else? Email team@braveautomations.com and a person answers, usually the same day.

07 Related

Where people usually go next.

System

Start with the audit.

Ninety minutes with a consultant, then a ranked plan in two working days. Whatever it costs comes off your first project.