Google Sheets automation
Google Sheets Automation Services
The spreadsheet somebody rebuilds every Monday is usually the cheapest automation available and the last one anyone gets round to. We connect it to the systems the numbers come from, and say plainly when the sheet has outgrown being a sheet.
What we build
Reports that refresh themselves
Numbers pulled from the systems that hold them on a schedule, so the weekly rebuild stops being a task and the figures stop depending on who did it.
Sheets as an operational control panel
Rows created and updated by the workflow, with a clear log of what changed and when — appended, never silently overwritten.
Threshold alerts
A message when a number crosses a line that matters, so nobody has to open the sheet to find out whether anything needs attention.
Clean-up and structure
Merged cells, duplicate tabs and formulas pointing at deleted ranges resolved first — automation on top of a broken sheet just breaks faster.
Where it stops
Every tool has limits worth knowing before you build on it. These are the ones that change a decision.
- There is a hard cell limit per spreadsheet, and heavy formula sheets slow down well before reaching it.
- Concurrent editing plus an automation writing to the same range produces conflicts that are hard to reproduce. Ranges written by software should not be edited by hand.
- Nothing enforces structure. A column typed into the wrong place breaks every formula and every integration downstream of it, silently.
- It is not an audit trail. Version history exists but is not a record you can query, so anything that has to be defended later belongs in a database.
Worth reading first
Which processes are worth automating
Repetitive is not the same as automatable. The shapes of work that automate well, the ones that do not, and how to tell them apart first.
12 Automations Most Companies Need
Twelve practical automations that reduce manual work, errors, and delays — from lead capture and onboarding to renewals, backups, and customer feedback.
Google Sheets FAQ
- When should a spreadsheet become a database?
- When more than one person edits it at once, when the row count runs into the tens of thousands, when correctness matters enough that a mistyped cell is a real problem, or when several sheets reference each other and nobody is sure which is authoritative. Until then a sheet is genuinely the right tool, and moving early costs flexibility for no gain — it is the visibility a spreadsheet gives that makes it useful in the first place.
- Is automating a spreadsheet worth it?
- It is one of the highest-return automations available, because the work is usually invisible in anyone's job description. A report rebuilt weekly is not a big task on any single Monday, which is precisely why it never gets fixed. Multiplied out over a year it is often several full working days, and the build is measured in hours.
- Our sheet is a mess. Can you automate it as-is?
- Not sensibly. Merged cells, inconsistent headers and formulas pointing at deleted ranges will break any integration built on top, and the break will surface as a wrong number rather than an error. Cleaning up first is usually a small piece of work and it is the difference between a sheet that maintains itself and one that fails quietly.
- Can people still edit a sheet that automation writes to?
- Yes, with the ranges separated. The columns software owns and the columns people own should be different columns, and the automation should append rather than overwrite where it can. Where both sides write to the same cell, one of them eventually loses an edit — and it will be discovered weeks later, if at all.
Need help automating a process?
Tell us about the repetitive work on your team—we’ll map a practical custom automation plan.