Case Study

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.

Sury Kashyap·7 min read·Feb 8, 2026

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

TaskSolutionEst. time saved
Enquiry data entryForm connected directly to the CRM via a no-code automation2 hrs
Status emailsAI drafts from project notes; account manager reviews and sends2.5 hrs
Monthly reportsPython script combines exports into a formatted Excel report4 hrs
Invoice remindersAutomatic reminders from accounting software1.5 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

  1. Measure before you automate; guesses are usually wrong.
  2. Keep a human review step for anything client-facing.
  3. Start with one workflow, prove it, then expand.
Want to discuss whether your business is ready? Join the conversation: When should a small business automate a process?
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Sury Kashyap

Sury Kashyap is an independent consultant and certified corporate trainer with over 30 years in the Indian IT industry, focused on AI, communication, marketing and digital technologies with Python.

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