Many service businesses already collect enquiries through a Google Form. The problem is what happens next. Someone still has to open the responses, decide which ones matter, figure out who should handle them, and make sure nothing gets forgotten.
This Google Forms Make AI workflow shows how to connect Google Forms, Google Sheets, Make, and light AI into one practical enquiry system— while still keeping humans in control of the important decisions.
This is a concrete implementation of the principles covered in the small business automation guide and the automated lead qualification article.
Table of Contents
How the Google Forms Make AI workflow works
A simple system that does the following when a new form response arrives:
- Captures the enquiry cleanly
- Stores it in a structured sheet
- Applies rules (and light AI when needed) to qualify it
- Routes it to the right person or list
- Sends a notification
- Keeps a clear record of what happened
The goal is not a complex automated machine. The goal is a reliable workflow that removes repetitive sorting.
The tools (and why this combination)
You can start this Google Forms Make AI workflow with basic rules
- Google Forms — Easy capture. Most people can fill it in without friction.
- Google Sheets — A simple, visible record the whole team can understand.
- Make — Connects the tools and runs the logic (rules + AI modules).
- Light AI — Used only for unstructured text (for example, classifying a free-text description).
This combination works well for small and growing service businesses because it starts with tools many teams already use and does not require a heavy new platform.
How the workflow maps to Capture → Decide → Act → Record
The Google Forms Make AI workflow follows a simple structure
| Stage | What happens in this system |
|---|---|
| Capture | Google Form submission |
| Decide | Rules + light AI in Make |
| Act | Routing + notification |
| Record | Google Sheet + any notes from the decision process |
Keeping this structure makes the system easier to understand, test, and improve later.
Step 1: Capture — Setting up the Google Form
Create a form that collects the information you actually need to qualify an enquiry. Useful fields often include:
- Name
- Email/phone
- Type of service or project
- Rough timeline
- Budget indicator (even a simple range helps)
- Short description of what they need
- How they found you
Keep the form as short as possible while still giving you enough information to decide. A form that is too long reduces the number of good enquiries you receive.
Step 2: Store — Google Sheets as the record
Connect the form so every new response lands as a new row in a Google Sheet.
The sheet becomes your simple source of truth. Useful columns usually include:
- Timestamp
- Contact details
- Service type
- Timeline
- Budget indicator
- Free-text description
- Qualification score or category (added by the automation)
- Routed to
- Status
- Notes
A clear sheet makes it easy for humans to review anything the system is unsure about.
Step 3: Decide — Rules + light AI in Make
This is where the qualification happens.
Start with rules
Build clear rules first. Examples:
- Service type matches what you offer → higher score
- Location is inside your service area → required or higher score
- Timeline is within a normal window → higher score
- Budget indicator is above a minimum → higher score
Rules are transparent and easy to adjust.
Add light AI only where it helps
Use AI when the input is unstructured — especially the free-text description. AI can:
- Classify the type of project
- Estimate urgency or complexity
- Flag unclear submissions for human review
The recommended approach is:
- Apply rules first
- Use AI on the free-text field when needed
- Combine both results into a final category (High / Medium / Review)
Avoid sending every enquiry through AI if simple rules already handle most cases.
Step 4: Act — Routing and notifications
Once the system has a category, it should take action:
- High priority → Immediate notification to the owner or senior person
- Medium priority → Add to the normal follow-up list and notify the right team member
- Review → Send to a human review queue instead of making an automatic decision
Notifications can go to email, Slack, or any channel the team already checks. The important part is speed and clarity.
Step 5: Record & review
Every enquiry should leave a clear record in the sheet showing:
- What category it received
- Why it received that category (basic rule results + AI note if used)
- Who it was routed to
- Current status
This record lets the team trust the system and improve it over time.
Handling exceptions and keeping a human checkpoint
No workflow is perfect. Build an exception path.
When the system is uncertain, the free-text is ambiguous, or the potential value is high, route the enquiry for human review instead of making an automatic decision. Keep the original form response and the system’s evaluation side by side.
This is how you keep humans in control.
What to measure
Track a few simple numbers:
- Time from form submission to first human action (especially for high-priority leads)
- Percentage of enquiries that receive a timely response
- How often items are sent to the review queue
- Whether low-quality or out-of-scope enquiries are still consuming time
If the numbers do not improve, adjust the rules or the routing logic.
Common mistakes to avoid
- Making the Google Form too long
- Trying to use AI for everything on day one
- Having no clear owner for high-priority notifications
- No exception path for uncertain cases
- Never reviewing the rules after the system is live
Start simple. Improve from real results.
How this connects to the wider system
This Google Forms + Make + AI workflow is a practical implementation of the ideas in the small business automation guide. It is also the natural technical companion to the automated lead qualification and routing article.
You may also find these related articles useful:
How to Measure Whether an Automation Is Actually Helping
Rules vs AI: When Simple Logic Is Enough
Next steps
If you already receive enquiries through a form and still sort them manually, this is one of the highest-leverage workflows you can put in place.
You can start with basic rules and a simple notification. You do not need a complex setup on day one.
If you want help designing or building a clean Google Forms + Make + AI enquiry workflow that fits how your business already operates, tell us how enquiries currently arrive and what happens next. We will start with the actual process and build from there.