I Hired Four Employees In 72 Hours. None Of Them Were Human. All Of Them Needed Coaching.

A service provider I had worked with for two years failed me last Tuesday. For two years, this company had handled a piece of my business I did not have to think about. Until they could not deliver anymore.

By Friday afternoon, I had replaced them.

Not with another service provider. With an AI employee I built myself.

It worked. So I built three more.

Four AI employees. Seventy-two hours.

The person on my team who used to manage that service provider did not lose a thing. The AI employee reports to her. In fact, all four do. She manages an AI team now.

Nobody got replaced. Somebody got promoted.

The question most leaders are asking right now

Most customer service leaders I talk to are still asking the same question.

Should we use AI in customer service?

That is not the question. AI is already in customer service. It is taking first calls. Running chats. Answering tickets. Drafting refund responses. Handling tier-one questions on every team that has it deployed.

The companies pulling ahead are not asking should we. They are asking something else.

Who is coaching the AI?

That question changes the room.

What it actually took to build them

I want you to see what those seventy-two hours looked like, because most of what gets called AI work right now is not the work. It is the setup.

Here is what I had open on my desk while I built each one.

Years of workshop scripts. The exact ones I have used in training rooms with frontline teams across industries.

Brand voice files. Documents I had written years ago that name what my voice does and what it never does. The phrases I use. The phrases I will not use. The cadence. The pauses.

Dozens upon dozens of email threads. Years of correspondence with one client, anonymized, where I could see how I had handled their questions, their pushback, their bad days, their wins. The full arc of a working relationship in writing.

My frameworks. The 3R Conversation Method. The Baby Chimp Effect. The 3-Question Brain Reset. Each one written out in plain language with examples and counterexamples.

Client testimonials. Not for marketing. For training. So the AI could read in the customer's own words what good service had felt like to them, and reverse-engineer the moves I had made to create that feeling.

Contracts. So the AI knew the scope of what we did and did not do.

FAQ documents I had handed to human team members on day one for years.

Then I sat with each AI for hours.

I would write a customer scenario. Watch the AI draft a response. Read the response out loud. Catch the moment it sounded clinical. Rewrite the moment in my voice. Show the AI the rewrite. Explain what I had changed and why. Test it against three more scenarios. Catch the next thing. Coach again.

That was the work.

Not prompt writing. Coaching.

The same coaching cycle I have used with frontline professionals for twenty-five years, applied to a different kind of new hire.

What I caught myself doing while I built

While I was coaching those four AI employees, I caught myself returning to the same four moves.

The four moves I have taught two million human professionals over the last twenty-five years.

Tone.

The way you say something matters more than what you say. I would write a draft response, read it out loud, and catch the moments where the AI sounded clinical. Cold. Procedural. I would rewrite it. Warmer. Slower. More human. Same thing I do in a workshop.

Word choice.

There are words that calm a customer down. Words that escalate. The AI did not know the difference. So I taught it. "I hear you" before "let me look into that." "What I can do" before "what I cannot do." The exact phrasing matters. It always has.

When to pause.

A frustrated customer needs three seconds of acknowledgment before any solution can land. The AI was rushing to fix. Skipping the regulation moment entirely. I taught it to slow down.

How to handle pushback.

When the customer says "this is unacceptable," that is a regulation moment. Not a redirect moment. The AI was redirecting too fast. I taught it the order. Regulate first. Redirect second. Resolve third.

Tone. Word choice. Pause. Pushback.

Twenty-five years of coaching humans on those four things. Same playbook. New colleague.

Why this is the missing layer

If you have ever sat in a contact center and watched a brand-new rep handle their first irate caller, you know there is a moment where everything in the room shifts. The rep's shoulders go up. Their voice tightens. They start talking faster. They reach for the policy.

And the call falls apart.

The fix is not a better script. The fix is a regulation move. "I hear you. That is frustrating. Give me one second to look at this with you." Three seconds of slowing down before any solution.

The AI on your customer service team right now has the same problem. It reaches for the policy. It rushes to fix. It skips the regulation moment.

And the conversation falls apart.

The nervous system layer is missing. The de-escalation layer is missing. The skill that actually calms a frustrated customer down is missing.

That layer has a name.

The 3R Conversation Method. Regulate. Redirect. Resolve.

I have taught it to two million humans over twenty-five years. I am now teaching it to AI.

What I learned from doing this for myself

After seventy-two hours of context-loading and coaching, I sat back and thought about what I had just done.

I had done the work that almost no company is actually doing with their AI right now.

Most companies are deploying AI the way they would install a piece of software. They plug it in. They feed it the FAQ. They turn it on.

Imagine if you hired a new person on your frontline team and on day one you handed them a stack of FAQs and pushed them onto the phones.

No tone training. No de-escalation coaching. No phrases for delivering bad news. No guidance on what to do when a customer says I want to speak to a manager.

You would not do that to a human.

But that is exactly what most companies are doing to their AI.

The reason the work is not getting done is not because companies do not want to do it. It is because the work requires something most teams do not have on staff. Decades of frontline language. A library of phrases tested under pressure. Frameworks that have been refined across thousands of real interactions. The judgment to know which moments need regulation and which moments need a redirect.

That layer is what I have spent twenty-five years building for human teams.

Translating it for AI is not a different job. It is the same job.

The platforms keep getting better. ChatGPT. Claude. Gemini. Copilot. The raw capability is extraordinary. What is missing is the coaching layer.

That is the gap.

And it is closing fast for the brands that figure this out first.

What AI joining your team actually looks like

The picture most leaders carry around when they think about AI in customer service is the wrong one.

The picture I keep coming back to all week is this. The human on the team who used to manage the vendor is still on the team. The AI reports to her. She reviews its drafts. She catches the moments it skips regulation. She coaches it. She trains it. She makes it better. Her job got bigger, not smaller.

Nobody got replaced. Somebody got promoted.

That is what AI joining your team actually looks like.

The future of customer service is not humans versus AI. It is humans and AI, both trained to handle hard conversations with skill.

Where to start this week

If you lead a customer service team, or you are the person on that team, start with one question this week.

Who is coaching the AI on tone, word choice, when to pause, and how to handle pushback?

If the answer is no one, that is the gap. And it is the work that is about to matter most.

COMING SOON

I am opening something soon called AI Coaching by Myra Golden. It is the work I just walked you through, applied to your AI stack instead of mine. The same context-loading, the same 3R coaching, the same hours of refinement, all customized to your products, your policies, your voice, and the moments your customers care about most.

Four clients per month. By application.

If you want to be on the list when it opens, watch this space.