Should I automate this?

Find out what your manual process is really costing you — and which tool fits your situation. No signup. Built from data across 120+ real projects.

01 — The process
5
hrs / week
≈ 250 hrs / year

Add up everyone who touches this task. If 3 people each spend 2 hrs → enter 6.

02 — The cost
$
25
/ hr

Use salary ÷ 2,000 working hours. Not sure? $25/hr is typical for admin/ops roles.

03 — How messy is it?

Emails, reminders, and waiting time that isn't the task itself.

04 — Your setup

Unstructured or variable data (invoices from 40 suppliers, free-text fields, email content) may need AI to process reliably.

This is costing you
—
per year
Enter hours above to see your number
Which tool fits?
Google Apps Script
$0 / mo
3–8 hrs
Best when everything lives in Google Workspace and your process follows consistent steps. Free forever, runs on Google's servers, deep integration with Sheets, Gmail, and Drive.
Make.com / n8n / Zapier
$0–29 / mo
4–16 hrs
Best when your process connects multiple platforms (CRM, email, Sheets, Slack, etc.). Make.com and Zapier are cloud-hosted with 1,000+ integrations. n8n is self-hosted — no per-task pricing, ideal for high-volume workflows or teams that want full control. Worth the setup if your team modifies workflows themselves.
AppSheet
$10 / user / mo
1–2 days
Best when your team needs a mobile-accessible interface with role-based views. Builds a native-feeling app directly on top of your Google Sheets data. Works offline.
Custom build
One-time
1–4 weeks
Best for high-volume, variable, or fault-intolerant processes where Apps Script and Make.com hit their limits. Python, Node.js, or a lightweight web app — depending on the need.
Ready to build it?
We've built 120+ automations. Leave your email and we'll send back an honest assessment — right tool, rough scope, realistic cost. Within 24 hours.

No sales pitch. If it's not worth building, we'll tell you that.

Numbers are estimates based on typical project data. Real costs vary based on specifics. Build cost ranges reflect average Alpray project data across 120+ automations.