Workspace Studio can now perform:
Moving Drive files.
Copying folders.
Responding on Google Chat.
Even replying directly within existing Gmail threads.
The most common mistake at this stage is:
Seeing the full Flow is automatable, then
just clicking:
Turn on.
Today, learn only one method.
Before enabling the Flow,
mark each Step as either:
Auto.
Or:
Needs Approval.
Just doing this
can prevent many automation risks upfront.
Why was this less critical before, but now it’s essential?
If AI only did things like:
Summarizing emails.
Organizing attachments.
Classifying information.
Creating drafts.
Even if a mistake happened,
someone typically reviews the output.
But Workspace Studio now includes:
Reply to email.
Send a Chat reply.
Move Drive files.
Copy Drive files.
Afterward, Flows truly
change the work environment.
Especially when:
Sending external messages.
Sharing data.
Altering shared documents.
Creating official records.
Once these actions execute,
it’s no longer just a matter of
“AI suggested something incorrect,”
but
the company actually performed the action.
So start by drawing two columns on a paper
No need to learn complex automation theory first.
On the left, write:
Auto.
On the right, write:
Needs Approval.
Then place each Step you plan to include in the Flow
into one of these two columns.
It’s that simple.
Which tasks should go under "Auto" first?
Start with tasks that are:
Internal.
Low risk.
Easy to reverse if errors occur.
Results are easy to review.
For example:
Copying standard Drive templates.
Moving attachments to designated internal folders.
Creating internal drafts.
Organizing client requirements.
Adding records to your own task list.
Sending data to internal test areas.
Even if mistakes happen,
there’s often a chance to:
Move files back.
Delete duplicates.
Reorganize.
Rerun the process.
This area is well-suited as an
Automation Zone.
Which tasks should be placed under "Needs Approval"?
Any action that directly affects:
Clients.
External personnel.
Official data.
Money.
Commitments.
Should be handled cautiously first.
For example:
Replying directly to a client email.
Sharing files outside the company.
Altering official quotations.
Confirming delivery dates.
Notifying customers of refunds.
Changing contract terms.
Canceling orders.
Setting formal calendar meetings including external guests.
The common feature of these actions is:
Once AI performs them, the external world really changes.
Therefore, stop these steps for manual review first.
A simple example
Imagine a florist receives a client email:
"Can I change tomorrow afternoon’s bouquet to a white theme?"
The Flow can automatically:
Find the client's order.
Locate the project folder.
Copy the editable work order.
Summarize the client’s request internally.
Notify the production staff.
All these can be marked as:
Auto.
But replying to the client with:
"No problem, we can change to white for tomorrow afternoon."
Should not be automatically sent.
This reply implicitly includes considerations like:
Is the inventory sufficient?
Have the flowers been purchased?
Will the price change?
Can the delivery time be kept?
Has the company officially agreed?
So finally,
Reply to email
should be labeled as:
Needs Approval.
It’s not that email is more dangerous than Drive tasks
This shouldn’t be oversimplified to:
Drive = safe.
Email = risky.
The true question is:
What are the consequences after completing this action?
For example:
Moving a test file to another test folder
has low risk.
But if moving a Drive file means:
Taking an official contract out of everyone’s usual folder,
the risk becomes much higher.
The same Step within different Flows
carries totally different risks.
So the classification isn’t by:
the app,
but by:
the consequences.
One quick question to help decide
For each Step, ask yourself:
"If AI makes a mistake here, can I easily recover?"
If yes, such as:
Copied the wrong folder.
Drafted incorrectly.
Misclassified internally.
Better to auto-run.
If no, such as:
The client received a wrong promise.
Data was shared externally.
Official documents were altered.
The meeting invitation was sent out.
Then require approval first.
Google itself offers an Approval mechanism
Workspace Studio admins can configure:
Some Steps require explicit user approval before running.
When the Flow reaches such a Step,
the system will:
Pause
and send out an approval request.
After review,
the user decides to:
Approve
or
Reject.
Approval triggers
the action to run.
Rejection means
the action won’t occur.
What does Google recommend for requiring approval?
Google’s examples include:
Sending messages to others.
Modifying shared team files.
Updating calendars.
Adding external guests.
Furthermore, when announcing new Workspace Studio Steps on September 2nd,
Google emphasized:
Admins can require end-user approval for actions that might share data outside the organization.
Thus, "need approval for external actions" is not because AI will always err,
but because
these actions are harder to undo than internal drafts.
You can’t enable Approval just on your own
Note that Workspace Studio’s approval policies are controlled by
Google Workspace admins.
If your company hasn’t set certain Steps to require approval,
the Flow won’t automatically pause just because you believe it’s risky.
Therefore, the classification of
Auto vs. Needs Approval
serves two main purposes:
First, to help you design the Flow.
Second, to inform admins
which Steps truly require system-level approval.
What if there’s no admin-set approval?
Don’t mistakenly think:
“The system will protect me anyway.”
Adjust your process design directly.
For example, if the original Flow is:
Receive email.
↓
Organize information.
↓
Reply to email directly.
You can change it to:
Receive email.
↓
Organize information.
↓
Draft a reply.
↓
Human review.
↓
Manual send.
This way, even without system approval,
you still have a human checkpoint.
Automation does not have to be perfect in one step.
Common beginner mistake: equating "can automate" with "should automate"
Just because Google added features like:
Reply to email,
doesn’t mean
every email should be auto-replied.
Move Drive file,
doesn’t mean
all file organization should be fully automated.
Features answer the question:
Can it be done?
Flow design answers the question:
Should it be done?
These must be clearly separated.
How to review when building a Flow
Suppose your Flow is:
Receive inquiry email.
↓
Gemini organizes requirements.
↓
Copy client project template.
↓
Move attachment to project folder.
↓
Notify internal sales.
↓
Reply to client.
Step-by-step, label:
Receiving email:
just a starter.
Gemini organizes:
Auto.
Copy template:
Auto.
Internal file move:
Auto.
Notify internal staff:
Usually also auto.
Reply to client:
Needs Approval.
Instantly, the Flow has boundaries.
What if the reply is only "Received your message"?
You can further refine.
For example, the company confirms:
Any email meeting certain criteria
can receive a fixed reply:
“Message received; the responsible person will follow up.”
This reply has no mention of price,
no time commitments,
no refund promises,
and no legal effect.
After sufficient testing,
the company may decide
this kind of reply can be:
Auto.
This proves that the real standard isn’t:
“External = never auto.”
But rather:
How serious are the consequences?
One simple extra rule
If you’re still uncertain how to classify,
use:
Organizing tasks auto-run first.
Commitments require human checks first.
For example:
Organizing customer requests:
Auto.
Organizing attachments:
Auto.
Organizing internal status:
Auto.
But:
Agreeing on price.
Agreeing on dates.
Agreeing on refunds.
Agreeing to contract terms.
Agreeing to formal cooperation.
Require human approval first.
This rule is ideal for small companies starting automation efforts.
Then perform a Test run
After dividing into two zones,
don’t immediately launch formal automation.
First conduct a
Test run.
But here is an important reminder.
Google clearly states:
Workspace Studio Test runs
perform real actions.
They might:
Really send messages.
Really modify documents.
Really create meetings.
So Test run is not:
a Preview.
How to safely do the first Test run
Google suggests:
Send emails or chat messages only to yourself initially.
Avoid sending to actual clients first.
Use:
Test documents.
Or copies of official files.
For Calendar tests:
Make yourself the only guest.
You can add your own rule:
During the first test, avoid involving real external recipients for any "Needs Approval" steps.
This way, if the Flow is misconfigured,
impact stays within
the test environment.
Gemini helps create Flows, but review is still needed
Workspace Studio lets you say:
"After receiving customer data, help me organize, move files, and notify colleagues."
Gemini will generate the Flow for you.
Very convenient.
But Google also requires:
You review each step after creation.
Because Gemini designs
a runnable process,
not a process with risk decisions already made for you.
So after Gemini creates a Flow,
run today’s two-column check again:
Auto?
Or:
Needs Approval?
Four simple steps in today’s practical approach
Step one:
Write out the Flow you plan to build.
Step two:
Circle each Step that produces a real Action.
Step three:
Label each Step as:
Auto.
or:
Needs Approval.
Step four:
Decide whether to use system Approval,
change to Draft,
or keep manual handling.
Done.
Don’t create complicated risk levels from the start
Many corporate governance documents list levels like:
Low.
Medium.
High.
Critical.
Many categories.
But for small companies starting Automation,
you don’t need such complexity initially.
Just two zones:
Can run automatically.
Call me here first.
Which is much safer than:
Making the whole Flow fully automatic.
When the process has actually run
20 times,
50 times,
or 100 times,
then refine categories based on real errors.
How is this different from the August 12 tutorial?
Previously, we taught that:
Before starting AI Automation,
select the first task that is:
High frequency, low risk, and verifiable.
That answered:
"Which task should be automated first?"
Today, it goes a step further.
Once you’ve selected a Flow,
and start adding:
Move.
Copy.
Reply.
Post.
You then address:
"Within this Flow, which Steps can run automatically, and which ones must bring humans back in?"
These are different questions.
The most important takeaway isn’t where the Approval button is
Because admins, account plans, and rollout schedules
can vary.
The truly useful takeaway is a working method:
After building any Automation,
don’t just verify top-down:
“Are the Steps correctly linked?”
Ask top-down again:
“If this Step makes a mistake, can I easily recover?”
If yes:
Prioritize auto-run.
If it causes external commitments,
data leaks,
official changes,
or is hard to retract:
Require approval first.
Workspace Studio adds more Actions,
representing a real step forward for AI automation.
But the further you go,
the more important it is for humans to
clearly mark where automatic halts occur.
Today, progress a little with AI.
Learn one AI skill daily.
Save a little time each day.
Improve a little more every day.
SasaDaily, growing with you.
