What AI May and May Not Touch in My Agency

AI in my agency works behind a hard line. It may read accounts, check them and draft software. It may not push a change live on its own. Scaley's Suite changes wait for a yes. Senior operators own client accounts. A dashboard I built that broke taught me why that line matters.

This post is only about that line. For the full tour of what Scaley does day to day, read AI agents run half my agency.

What May AI Touch?

My homepage puts it plainly. Strategy is built by hand. The checking runs on a machine.

So AI may read. Scaley AI reads a library of ZenoX notes. Its Media Buyer reads the live account when you ask and answers in plain words. The daily waste report lists problems such as search terms that waste spend and placements that stop paying back.

AI may also draft. I use it to draft software features. I know what a media buyer needs to see. A working first draft helps me show that to the developers.

What May AI Not Touch Without a Yes?

AI may not change an account on its own. Suite queues changes such as bid moves or negative keywords. Nothing goes live until you say yes. That is the product described on my homepage, and you can explore Scaley's account analysis and approval workflow.

Some things stay with people every time. Strategy, offers, client calls and the final call on a client's money sit with a person.

What Happened When My Dashboard Broke?

I described this in the episode about vibe coding. I built a client dashboard around Shopify data. Early tests went well. When we connected more stores, dashboards stopped syncing and some data was wrong.

Fixing one bug did not end it. More appeared. We had to rebuild the base with experienced developers.

I now make the first draft and senior developers make it solid. That is a real cost of building this way. The story would be much easier to tell if the first version had simply worked. It did not.

The wider Scaley build-in-public story covers the work around the product too.

What Still Needs a Senior Operator?

Senior operators run our client accounts. The system helps them see what needs attention. The store still needs someone who understands its margin, goal and account history.

Our ecommerce Google Ads agency service covers the full account. The feed is part of that work, as is our Google Shopping management. I would not treat a list of suggested changes as a full store strategy.

My own stores taught me that. I almost hurt a healthy store by scaling too hard. The operator lessons behind ZenoX explain why I keep coming back to the money behind each decision.

How Would I Review an AI-Suggested Change?

Here is the checklist I would use before approving a change:

• Open the account data behind the suggestion.
• Check the store, campaign and dates it refers to.
• Read the reason for the change in plain words.
• Check that the recommendation fits the store's goal and margin.
• Make sure the person approving it understands what will change.
• Review the account after the change.

For example, if a tool suggests a negative keyword, I want to see the search term and the reason. I would not approve it just because the explanation sounds confident. This is a review example, not a claim about a client result.

When Should You Not Copy My Setup?

If you cannot judge the recommendation, more automation does not solve that gap. Learn the account work first. Our step-by-step Google Ads learning route is a starting point. My Google Ads course covers the setup and day-to-day decisions.

And if you are building software, a working draft is not proof it will hold up as usage grows. My dashboard already gave me that lesson.

What Else Do People Ask?

Does AI Run Every Part of My Agency?

No. Senior operators run the accounts. AI helps with checking and software drafts, while strategy and final decisions still need people.

Can Scaley Change an Account Without Approval?

The public product model says only Suite changes the account, and each change waits for your approval before it goes live.

Why Do I Still Work With Developers?

My early dashboard broke when more stores joined it. I draft features with AI, and senior developers make the software solid.

Should a New Media Buyer Rely on AI Alone?

I would learn the account work first. You need to understand the data and the store before you can judge a suggested change.

Where Can You Check the Story?

• The public Scaley product and operator split
• My software build and dashboard failure
• My store experience

Want to Work on Your Account with Me?

Want to understand the decisions before you automate them? Learn the Google Ads work with us on Skool. The Google Ads Ecom Lab is where we discuss it in the open.