About

"So what is this project, then?"

At its core, it is a platform intended to make advertising and accounting data easier to reconcile without turning the process into an endless spreadsheet exercise. That may sound fairly niche at first, right up until somebody has to compare advertising spend across several platforms against accounting records at month-end. Things tend to become untidy rather quickly.

One might ask: "Should the figures not already match automatically?"

In theory, perhaps. In practice, not quite.

Different platforms follow different reporting periods. Adjustments appear later. Credits receive retrospective application. Currency conversion introduces small discrepancies. A single accounting entry may represent hundreds of advertising-side records grouped together. Totals shift slightly after invoice generation.

Before long, somebody faces manual comparison of exports in an attempt to determine:

• why a total differs,
• whether something already received import,
• whether an entry is duplicated or merely grouped differently,
• or why figures from the previous month changed again.

Individually, none of these problems are especially dramatic. Together, they create a fair amount of repetitive operational work.

The aim of the project is easier review, clearer reconciliation, and less day-to-day frustration.

The platform connects advertising systems such as Google Ads and Meta Ads with accounting platforms such as QuickBooks and Xero, with aggregation, reconciliation, review, and preparation of data before further downstream movement.

One may ask: "So is this primarily an automation platform?"

Partly, yes — though not in the "press one button and hope for the best" sense.

Automation remains useful right up until the moment something looks wrong. Then questions appear fairly quickly:

• where a figure originated,
• why entries received matching,
• why reconciliation failed,
• or what awaits transfer into the accounting platform.

That is why the project leans more towards visibility and review rather than opaque automation.

Some workflows remain fairly direct:

• fetch advertising spend,
• aggregate and normalise the data,
• prepare it for accounting,
• review the result,
• then push it onwards.

Other workflows place greater emphasis upon reconciliation itself:

• comparison of advertising and accounting records,
• discrepancy detection,
• identification of likely matches,
• grouping of related entries,
• and surfacing of anything requiring closer inspection.

Another reasonable question is: "Why not continue with spreadsheets?"

Realistically, spreadsheets won't disappear any time soon, as they remain useful for plenty of tasks still. The difficulty, however, appears once the amount of data begins to grow. A handful of exports remains manageable, whereas several advertising platforms, multiple currencies, different reporting periods, and dozens of accounts quickly become something far less comfortable for manual handling.

At some stage, somebody ends up with side-by-side comparison of CSV exports in an attempt to determine whether a discrepancy reflects a genuine problem or merely a timezone mismatch.

This service is not an attempt at complete spreadsheet elimination. The aim instead is reduction of repetitive reconciliation work surrounding them.

Another question may get raised also: "Is this intended as another enormous all-in-one enterprise platform?"

Not particularly. The service deliberately keeps a narrower scope:

• reduction of repetitive manual work,
• improved reconciliation visibility,
• easier discrepancy tracing,
• and understandable workflows.

The intention is not another giant ERP platform full of endless configuration screens and layers of abstraction. There are already more than enough systems with ambitions around handling absolutely everything.

Most people are not looking for another enormous platform under management. More often, they want a clearer way of reconciliation without half an afternoon buried in exports and spreadsheets.