Automation library

Reporting that assembles itself

The weekly report pulls from every source and updates continuously. The person who used to build it goes back to interpreting it.


10-16h Typical hours saved each month
Any Where it fits
4-8 wks Typical build time

Hours are typical ranges from scoping calls, not a client result. Yours are measured before anything is built.


The problem

Someone rebuilds the same spreadsheet every Monday. The work is not analysis, it is copying, and the person doing it is usually the person you would rather have interpreting the numbers.


What we actually build

01

Every source pulled through its API into one warehouse

02

A dashboard that updates continuously rather than weekly

03

Scheduled snapshots so month-on-month comparisons survive

04

Alerting when a metric moves beyond a set threshold


How it is measured

Hours spent building reports, logged for a fortnight before and after.


When this is the wrong answer

If nobody reads the report, automating it just produces an unread report faster. Ask whether it should exist.


Free tool

What is the manual work actually costing you?

Tick the tasks someone on your team does by hand. We will show you the hours and what they cost over a year.

Tasks done by hand

If we automated these

Hours returned per month
0 h
Cost of that work per year
₹0
Typical payback on the build

Assumes 4.33 weeks per month and a typical build cost, both editable in the admin panel. If the payback is longer than two quarters we will usually tell you not to bother.



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