Case study: how a small agency could save 10 hours a week with simple automation
An illustrative walkthrough of mapping repetitive tasks, picking the right ones to automate and measuring the result.
This is an illustrative case study based on common patterns in small service businesses. Names and numbers are examples to show the method.
The situation
A six-person marketing agency was growing, but the team felt busier than ever. Client work was fine; it was the admin around it that was eating their week.
Step 1: Map the repetitive work
For one week, everyone logged any task they did more than twice. The list included:
- Copying enquiry form details into a spreadsheet and CRM (≈2 hrs/week)
- Writing weekly client status emails (≈4 hrs/week)
- Building monthly performance reports from exports (≈5 hrs/week)
- Chasing invoices (≈1.5 hrs/week)
Step 2: Choose what to automate
They scored each task on frequency, time, and risk if it goes wrong. Low-risk, high-frequency tasks went first.
Step 3: Build simple solutions
| Task | Solution | Est. time saved |
|---|---|---|
| Enquiry data entry | Form connected directly to the CRM via a no-code automation | 2 hrs |
| Status emails | AI drafts from project notes; account manager reviews and sends | 2.5 hrs |
| Monthly reports | Python script combines exports into a formatted Excel report | 4 hrs |
| Invoice reminders | Automatic reminders from accounting software | 1.5 hrs |
Step 4: Measure
After a month, the team re-ran the time log. Around 10 hours a week were freed up, mostly re-invested in client strategy work.
Lessons you can apply
- Measure before you automate; guesses are usually wrong.
- Keep a human review step for anything client-facing.
- Start with one workflow, prove it, then expand.
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