Build an AI delivery workflow with Make
A small goal: turn one manual delivery into four nodes before deciding whether to productize it.
Best use case
Use this when you know the deliverable but still collect material, process output, email results, and log feedback by hand.
Workflow nodes
4
Form, AI, email, log
Manual work saved
30%+
Less copying and sorting
Sales sample
1
Show clients a full delivery chain
Workflow blueprint
Build the shortest workflow first. Each node should solve one action.
Form trigger
Receive material from Tally, Typeform, or your site.
AI processing
Turn material into summaries, categories, scores, or drafts.
Result delivery
Send the result to the user, team, or your inbox.
Feedback log
Save output, timing, and feedback to a table or work tool.
Build it in 60 minutes
Map the manual process
Write the 5 actions needed to deliver the result once.
Automate 2 repeated actions
Start with copying, sorting, notification, and logging.
Add human review
Send AI output to yourself before sending it to a client.
Record time saved
Compare the old delivery time with the automated flow.
Copy-ready delivery note
Intro
After you submit the material, I will use an automation workflow to organize it and then manually review the result.
Final screen
If the sample helps, I can turn this into a monthly workflow maintenance service.
How to read the result
Continue
The flow runs 5 times, manual correction is under 30%, and users keep submitting material.
Narrow scope
The flow works but client material varies too much. Narrow by industry or file type.
Pause
Every run requires heavy judgment and cannot be reused.
Connect it to the action plan
Step 1
Collect material with a form.
Step 2
Use Make for processing and delivery.
Step 3
Review output manually.
Step 4
Use time saved in your pricing.
Build an AI delivery workflow with Make
This tutorial helps with the current action and does not promise income.