165 | The System Your Business NEEDS to Stop the Bottleneck Before You Add Any Other System | Leadership, Delegation & Systems with AI Frameworks

Why are you still rewriting everything… even after hiring a team and investing in AI?

This episode breaks down the hidden cost of constantly fixing your team’s and AI’s work – what Dawn calls the Rewrite Tax.

You’ll learn why this isn’t a productivity issue, but a leadership and systems gap, and how it’s quietly costing you time, team performance, and scalability.

Dawn introduces the 3-layer thinking system that makes your judgment transferable so your team and AI can actually think like you.

If you’re ready to stop being the bottleneck and start leading at a CEO level, this is your next listen.

If you’re done wasting hours rewriting and ready to build a system where your team and AI actually think like you, join the Voice Architecture Lab. In this live 3-hour session, you’ll build your full thinking system so you can stop fixing and start leading. 

Save your seat here: hellodawn.live/voice-lab

Key Takeaways

• Why rewriting everything is a leadership problem (not a quality control strategy)
• The hidden cost of the “rewrite tax” on your time, team performance, and AI ROI
• How unclear thinking standards create dependency instead of team ownership
• The 3-layer thinking system that makes your judgment scalable across humans and AI
• How to use AI as a true delegation partner (not just a faster draft generator)

Resources & Links

• Voice Architecture Lab 
• Free Guide: 10 Ways AI Will Make You a Better Leader

Related Episode

• 146 | The Delegation Mistake That Keeps You Stuck Doing Everything (Even With a Team)
• 077 | Why Your Team Keeps Coming Back to You (And How to Fix It Without Micromanaging)

Want to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

Transcript

She’s That Founder
165 | The System Your Business NEEDS to Stop the Bottleneck Before You Add Any Other 

Every time you rewrite something your team gave you, whether that's a person on your payroll or AI that you're paying for, you're paying a tax on a system that you haven't built yet, and today we fix that.

Hey, hey, hey. You're listening to She's That Founder, the podcast for ambitious female leaders who are ready to stop being the bottleneck in their business by using AI frameworks for faster delegation in decision making.

I'm Dawn Andrews, and today you'll learn why the time you spend fixing your team's output human or AI is actually a tax and exactly what it's costing you. You'll also learn the three layer thinking system, the framework for making your judgment portable so everyone on your team, people and AI can lead with it.

And I'll also share one exercise you can do this week using AI as your thinking partner to start building that system today.

So i've been thinking about you because I've been using AI really intensely. Since before chat GPT launched, and it's such a blessing and such a helpful way to improve the growth of my business without adding headcount at this stage of my business.

And I also realize that I've gone through a phase and I'm just coming out the other side of it where AI has actually made me busier. And caused a bigger time investment than it should because I can do things faster with ai. I've been doing lots of things with ai, which is great, except that then I have to go back and fix the things that I've done with AI and all time invested.

Maybe I could have just done it better the first time on my own. But here's the thing, I know that that's not really true. I know that if I set my AI systems up well, and I've proven it in other different use cases in my business, that it saves me ridiculous amounts of time. And so that's why I wanted to bring this topic to you today.

So I want you to think about the last time that you rewrote something. Maybe it was a proposal, maybe it was a client email that your VA drafted. Maybe, and this is the one that nobody really talks about. It was something you generated with ai, but then you spent 40 minutes reworking because it didn't sound like you, or it was slides and you  redid all the slides because it didn't think like you, it didn't look like you, it didn't sound like you, it wasn't what you would've done.

And if you write down or just note how long that took. It's important because here's what I call that time, that is the rewrite tax, and it is a hidden fee that you're paying every single time someone on your team, human or AI, can't access your judgment. And I need to tell you what this tax is actually costing you. And I kind of mentioned that when we first started the episode, so stay with me right after this.

So quick break. The framework that I'm about to walk you through is exactly what we're building. Live inside the voice architecture lab on May 2nd, three hours, eight seats only.

And if you wanna leave with your portable thinking system actually done, not planned, but done, and have AI that works and sounds the way that you do, then get on the list now at hellodawn.live/voice-lab..

Okay, back to the rewrite tax. Let's talk about what the rewrite tax is actually costing you, because I don't think that you've done this math.

It's really easy to overlook it. So first thing, it's costing you your time. The average founder I work with spends four to seven hours a week reviewing, revising, and likely redoing the work that her team has produced, and that's a full workday every week gone.

Not to strategy or growth or client conversations or the CEO work that only you can do, it's going to clean up, and there's a certain amount of that. That's just life. I get it. But over a year, that's six to eight weeks of your time spent editing. So think about what you could have built in six weeks, or think about how many margaritas you could sip on a lounge chair in six weeks.

Cost number two, it's costing you your team ceiling. So this is what we don't really hear much about when it comes to the rewrite tax. It has a compounding effect on your team. So every time they hand you something and you change it, you tweak it, you rewrite it, they learn one thing, wait for you to fix it.

They stop thinking and they get conservative. They stop bringing you fresh ideas, and the really talented team members will leave because nobody wants to work somewhere where their judgment is never trusted. You think you're maintaining standards and that's where you're coming from, but what you're actually doing is training learned helplessness in your team, and then the final cost of the rewrite tax is your AI investment is wasted.

This is a new cost. I'm always adding costs of the rewrite tax because it's everywhere, and this new one is the one that's hitting founder's hardest right now. You adopted AI in some way. You're paying for the tools, you're using them, and yet you're still rewriting everything. It gives you, I'm not talking a final check, make sure that it's on point, rewrite.

I'm talking about it, gave you a bunch of stuff and then you start it over. And that's not an AI problem. Chat GPT isn't broken. Claude isn't failing you. The AI is doing exactly what it was built to do, and it's generating output based on what it knows about you. And right now, if that's what you're getting, it doesn't know you well enough.

AI can only be as good as the thinking system you've given it to work from. And without that system, you get generic crap. You get close, but not quite writing. You get stuff that sounds like a founder ish, just not you. And so you're spending money on a tool designed to save you time, and you end up spending more time fixing its output than you would have if you just did it yourself.

The rewrite tax is not a team problem or an AI problem. It's a thinking system problem, and it has a solution.

Let's talk about it. I call it the three layer thinking system. So most founders build two types of systems in their business. The operation systems, which is how things get done, and communication systems, which is who talks to who about it.

Both are useful. Neither are sufficient in this case. The system that actually makes your business run without you or with you in a reduced capacity and focusing only on the things that you do well and makes your AI actually work for you is the third one.

I call it the thinking system. My company's called Free Range Thinking, and this is what I do. So the thinking system has three layers, so let's build them out. Layer one is visibility. This is like a diagnostic layer. It's where you make the invisible visible, so you can't transfer what you can't see. You can't transfer judgment that you can't see, and most of your standards are probably invisible even to you.

They're not seen necessarily. They're more felt. You could feel when something's off, when something's wrong, but you've never had to name it because until now it only needed to live in one place. And that's in your head. And in the AI age, that's not sustainable anymore and not with a team either.

So here's your AI exercise for layer one for visibility, and I really wanna invite you to actually do this.

Take the last five things that you rewrote. It doesn't matter if it was your social media manager's draft somebody else's proposal, an output from chat t, but drop the before and after versions into Claude or chat T and then ask what patterns do you see that I'm consistently changing? Name, the standards that I'm applying that aren't written down here, and what comes back will stop you in your tracks because half of your judgment has been running silently in the background your entire career.

And seeing it named is the first time it actually becomes something you can use. So take away for visibility. Layer one of the three layer thinking strategy is. Visibility is the foundation. You can't build a thinking system on standards that you haven't named yet.

Okay. The thinking system next layer, there are three layers.

Here's layer two transferability. Layer two is transferability, and that's taking what's now visible, those standards that we just teased out and making it something your team, human or AI can actually use. And this is where a lot of founders stop. They get the clarity, they feel great about it. I mean, it's a huge exhale once you see it all in writing.

But then it stays in like a notes app or a Google Doc that nobody's gonna read, or again, it's just in your head and or their heads now. But transferability means it lives somewhere outside of you.

So three things go into a transferability document. One, your voice standards, what you always end up changing, what you never compromise on, what on brand actually means in concrete terms for you.

Two, your decision filters. The questions you ask before saying yes or no to anything. And three, your non-negotiables versus your nice to haves because your team is guessing, which is which on every single deliverable that they give to you.

So here's why this matters, especially for AI right now. When you give an AI tool your thinking system, your voice standards, your decision filters, your non-negotiables, it stops being a generic content machine and starts functioning like a trained team member, one that never forgets your standards, never has a bad day, and applies your judgment at the speed of a prompt.

And that's not the future that's available to you this week once you have this document. The reason I'm sharing this particular layer with you, or I wanna call out this particular layer as well because this is what makes the difference between AI content, and when I say content, it's more than just social. Like any written communication that you're sharing, this is what makes a difference between content. That sounds like a machine created it and content that. Aligns with you and actually furthers your mission, your sales process, your operating ease in a way that changes your life.

So layer number two, takeaway. Transferability is what transforms AI from a time drain back into a time saver and gives your human team something to actually lead from. Okay?

Layer three of the thinking system replicability. And let me tell you, I had to practice saying that word several times before I got on the mic.

So this is the transformation layer, the before and after. This is when your judgment travels and when the system actually works in the wild.

So here's what replicability looks like. Without the thinking system, your team submits work. You rewrite it, they revise, you rewrite again. The work gets safer and smaller each round because nobody wants to be wrong, and eventually you either do it yourself or you settle for good enough, which sometimes isn't bad, but can end up being really vanilla and no different than what anyone else out there would share. And meanwhile you're wondering why you can't seem to get off the content hamster wheel, even though you have a team and multiple AI tools.

So here's what replicability looks like with the thinking system. Your team, people and AI have your standards. They can ask, what would Dawn do here? Actually get close to the right answer and your human team brings you decisions instead of drafts. Your AI gives you outputs that sound like you. On the first pass, revisions become refinements, approvals become quality checks instead of rescue missions.

So I have spent six to eight hours a week myself in what I would call that approval spiral. That could be a mix of team deliverables, AI outputs that I'm working on, and prior to really designing this for myself, I needed to translate it, all of that output into something usable. But once I built the thinking system across these layers, voice standards, decision filters, non-negotiables, the works, and then I loaded them into my AI tools with documents, I was able to cut my approval time by more than half, same standards, same team, same AI tools, different system. I mean, it has been revolutionary for me in creating some of the executive retreats that I put together.

I put my OD background, the way that I think about adult learning, the psychological approach that I take to building things, and I documented it, I codified it, and I used that with Claude to build out my workshops and what would have taken me weeks in the past, I can get done in days and it's high quality work, ready to go. It really has been life changing. Like I don't really know how to explain it otherwise. Just to know that with confidence that I can create these extraordinary retreats for people and do the work that only I can do, but do it with AI and have it be significantly less of a time investment so that I can spend more time getting to know the people, more time, making sure that everybody that I'm leading is aligned and moving towards the goals that they had when they set up the retreat in the first place. It's really extraordinary.

Okay. The takeaway for layer three replicability is when you stop being the translator and start being the CEO that you are, that is the whole point.

So the three layer system visibility, transferability, replicability, each layer makes the next one possible, and none of them require you to lower your standards. They require you to finally share them.

Let's just recap real quick. Here's what you learned today. The rewrite tax is for real, and it's not just coming from your human team. It's coming from your AI tools too, because AI can only be as good as the thinking system that you've given it, and without that system, you're paying for tools that make more work, not less, not to mention the expense of the tools themselves.

The three layer thinking system fixes this visibility gets your standards out of your head. Transferability puts those standards somewhere, your whole team can actually use them. And replicability is when it actually works.

So here's your action step this week. Pull the last five things you rewrote, team output, AI output, doesn't matter. Put the before and after into your AI tool. Ask it to name the patterns and write down three standards you've never said out loud before. Layer one. That's where this starts. And if you wanna build all three layers in a single session, I'm wanna tell you a little bit about what's happening on May 2nd.

So the thinking system that I walked you through today is exactly what we're building inside the voice architecture lab. It's May 2nd. It's live. It's three hours long. There are only eight seats, and those that participate will leave with all three layers built. The voice standards, documented decision filters named AI tools loaded and ready to actually sound like you and start shaving that time off your calendar so you can get on the list for the lab at hellodawn.live/voice-lab.

Thank you for being here, lady Friend. I really want you to take that action step, pull those five rewrites, run them through ai, see what comes back. On Thursday, we're gonna talk about the one mistake founders make right after they build their thinking system that quietly breaks it before it even really works.

So I'll see you then. Take care Levy.