Prompt Playbook: AI Automation Business PART 5

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Hey Prompt Entrepreneur,

The classic entrepreneur’s dilemma. One I’ve fallen into many times over the years.

A single product or service—even a successful one—doesn't constitute a business.

It's a starting point, a platform from which to build something larger and more sustainable. One successful automation is a proof point, not the endgame.

But on the other hand, entrepreneurs too often “scale” by jumping into completely new markets, creating unrelated products, or chasing exciting new technologies.

Doing something new and shiny rather than building methodically on what's already working.

Sounds familiar?

This is the balancing act every successful entrepreneur must master: recognising that your first success is but the foundation for something bigger, while also understanding that real growth comes from evolving what works rather than constantly starting from scratch.

Let’s get started:

Product vs. Business

Having a working product does not a business make.

It’s an awesome starting point for sure. Indeed it’s the required first step. But once we get there we need to know the next step.

Most automation builders never evolve beyond the "freelancer with a product" stage.

They build something useful, sell it a few times, then immediately jump to something completely different—chasing the excitement of new creation rather than the discipline of systematic growth.

I get it. I’m like this. I want to move to the next cool thing. I want to create.

This is also why so many talented people end up with a collection of half-developed products instead of a thriving business. The secret to scaling isn't constant reinvention. That’s introducing too much (unnecessary) risk. Instead it's about methodical evolution around what already works.

Evolution, Not Revolution

Evolve, don’t revolve! Wait…no…not quite.

Successful businesses grow through iteration, not constant reinvention. Reinvention is a risky move. And it’ll go wrong most of the time.

Instead successful companies find one thing that works, then build around it—expanding capabilities, reaching adjacent markets, and creating complementary offerings.

Amazon provides the perfect example of this approach. They couldn't have become "the everything store" without first mastering one category: books

Amazon focused relentlessly on books until they perfected their model, then methodically expanded to adjacent categories. They duplicated a working mechanism onto other market areas knowing that their sourcing, storage and logistics were on lock.

Contrast this with Borders, a traditional bookseller who was on the other side of Amazon’s rapid growth.

I knew Borders was done for when I walked into one of their stores and found that most of the floor space wasn't even devoted to books. It was toys, games, puzzles, bags, snow- globes, you name it —a mishmash of unrelated products.

Year after year the space dedicated to books dwindled. Even though they were meant to be a bookseller. Something smells.

They weren't expanding their offerings from a place of strength; they were desperately adding categories because their underlying model wasn't working. They were drowning.

Both Amazon and Borders started as booksellers. And both expanded their product range. But they did so for different reasons. Amazon from a place of security and sustainable growth. Borders from a place of panic.

We want to be like the bald man.

One successful automation can indeed become the foundation for an entire business ecosystem. But here's the critical part: that first automation has to actually work! It needs to genuinely solve a problem, generate real value, and have paying customers before you even think about scaling.

If you haven’t got there yet don’t start adding crap hoping it’ll right the ship. It’ll just sink you faster.

The Framework for Natural Expansion

Alright, so once you've got that working first automation, there are three natural directions for expansion. Let's explore each one in detail.

Upstream Expansion

Upstream expansion focuses on what happens before your current automation. It's about capturing the inputs that feed into your existing system.

Examples of Upstream Expansion:

• If you've automated email responses, consider automating email categorisation

• If you're automating report generation, look at intake form processing

• If you've built a social media posting tool, consider content creation automation

This type of expansion captures more of the overall workflow and eliminates manual steps that precede your current automation. It's like extending a production line backward to include earlier stages of manufacturing.

Prompt for Upstream Brainstorming:

You are an automation strategy consultant. Help me identify potential upstream expansion opportunities for my existing automation.

My current automation: [Describe your core automation]

Please identify:
1. What inputs currently feed into this automation?
2. Who creates or manages these inputs currently?
3. What manual steps occur before my automation kicks in?
4. What processes could be automated to provide cleaner/better inputs?
5. Which of these upstream processes would create the most value if automated?

Downstream Expansion

Downstream expansion addresses what happens after your current automation completes. It's about extending your impact further along the workflow.

Examples of Downstream Expansion:

• If you're automating lead capture, consider lead nurturing automation

• If you're automating content distribution, look at content reporting

• If you've built an invoice generator, consider payment reminders and reconciliation

Downstream expansion ensures the value created by your initial automation isn't lost in subsequent manual processes. It also allows you to capture more of the value chain.

Prompt for Downstream Brainstorming:

You are an automation strategy consultant. Help me identify potential downstream expansion opportunities for my existing automation.

My current automation: [Describe your core automation]

Please identify:
1. What happens with the outputs from my current automation?
2. Where do these outputs go, and who handles them?
3. What decisions or actions are taken based on these outputs?
4. What manual follow-up processes could be automated?
5. Which downstream processes would save the most time/money if automated?

Parallel Expansion

Parallel expansion looks for similar processes alongside your current automation. This is often the most profitable expansion route because it leverages your existing work with minimal changes.

Examples of Parallel Expansion:

• If you're handling Instagram post scheduling, expand to Facebook and LinkedIn

• If you're automating email outreach for sales, adapt for customer service

• If you've built a Salesforce CRM integration, replicate for Pipedrive or HubSpot

The beauty of parallel expansion is that you can often take the exact same automation sequence and replicate it for other ecosystems. For example, if you've built a Salesforce integration that works beautifully, you can essentially copy-paste that workflow and adapt it for Pipedrive or HubSpot, instantly opening your product to customers who use different CRMs.

You know it’ll be valuable to them because it’s a proven automation. But they just happen to use a different ecosystem so were not part of your initial market. But duplicating into other ecosystems

This type of expansion gives you the highest return on your initial investment. You're leveraging the exact same logic, the same prompts, the same basic structure—just applying it to different platforms or ecosystems. It's the closest thing to "free money" in the automation world.

Prompt for Parallel Brainstorming:

You are an automation strategy consultant. Help me identify potential parallel expansion opportunities for my existing automation.

My current automation: [Describe your core automation]

Please identify:
1. What other systems, platforms, or departments have similar processes?
2. Which alternative tools do companies in this industry use for the same purpose?
3. What adjacent workflows follow similar patterns but serve different functions?
4. Which parallel expansions would require minimal changes to my current solution?
5. Which parallel opportunities open up the largest new customer segments?

Creating Packages and Tiers

The beauty of this framework is that each new automation builds on your existing expertise and customer relationships. You're not starting from scratch (don’t do that!) —you're leveraging what already works.

This in turn lets us create. But within guardrails that ensure that what we create is valuable to customers.

As your automation portfolio grows, you gain the ability to create packages at different price points—dramatically increasing your average sale value without proportionally increasing your work.

Start by organising your automations into logical groups:

• Basic Package: Your core automation(s) that solve the fundamental problem

• Standard Package: Core automation(s) plus one upstream and one downstream

• Premium Package: The complete ecosystem of connected automations that handle the entire workflow

For example, if you've built automations for a marketing agency workflow:

• Basic (£3,000): Automated lead capture and qualification

•  Standard (£7,000): Lead capture/qualification plus automated proposal generation

• Premium (£15,000): Complete system including lead capture, proposal generation, project management, and client reporting

This tiered approach creates natural upsell opportunities. Clients can start with the basic package, experience the value, then graduate to more comprehensive solutions as their comfort and trust grows.

And you can always add a next level up. Never underestimate what your customers will pay for the value you provide them - keep adding the next step up and you’ll be surprised when customers happily sign up.

Technical Scaling Considerations

As your automation business grows, you'll eventually face technical limitations. This is when people typically ask, "Should I move beyond Zapier to more advanced platforms?"

The answer isn't always yes. Technical complexity comes with trade-offs:

More capability = More maintenance 

More customization = More support requirements 

More sophistication = More that can break

Before graduating to more complex platforms, ask yourself:

1. Do customers think there is a limitation? Not you, but customers.

2. Am I repeatedly hitting specific limitations in my current tools?

3. Are clients requesting capabilities I simply cannot deliver with my current setup?

4. Do the economics make sense? (Will the additional revenue justify the increased complexity?)

If you answer "no" to any of these questions, consider staying with your simpler tools a bit longer. You'd be surprised how far basic platforms like Zapier can take you.

Creating Recurring Revenue

Upfront one time payments are the best way to get started. Lower friction, easier sale and less ongoing capacity required. Far better for testing out the market and ensuring you have a product that businesses actually want.

But….the holy grail of any business is predictable, recurring revenue. While one-time sales are the place to start, subscription income changes everything about your business dynamics. You know there is cash incoming each month and can better forecast growth.

For automation businesses, there are several paths to recurring revenue:

• Maintenance Plans: Monthly fee for monitoring, updates, and minor adjustments

• Usage-Based Pricing: Charge based on volume (processed forms, generated reports, etc.)

• Outcome-Based Models: Tie your compensation to measurable results (leads generated, time saved, etc.)

• Software-as-a-Service: Package your automations as a complete product with monthly subscription

There are many ways to implement this but don’t jump to these right out of the gate. Keep is simple!

Wrapping Up The Week

We've covered significant ground in our automation series this week:

Part 1: The Power of Simple Automations established why automations represent the perfect entry point into AI entrepreneurship—offering immediate value without the complexity of agents or advanced AI systems.

Part 2: Your Industry Expertise is Gold showed how your domain knowledge is your unfair advantage, helping you identify problems that others can't see. This is what gives you an advantage in this new world of AI entrepreneurship.

Part 3: From Problem to Working Blueprint demonstrated how to avoid complexity and design solutions that actually work. You know, something you can actually sell!

Part 4: Tool Selection: Starting Smart cut through the endless tool debates to help you just pick something (Zapier) and start building.

Part 5: Scaling Your Automation Business looked at how to transform a working automation into a comprehensive business.

The through-line connecting all these parts is simple: start with solving one problem exceptionally well, then build methodically from that foundation.

Find a problem worth solving, build a reliable automation that addresses it, validate with paying customers, then expand systematically around that proven core.

Boring yes. Also effective. Sorry!

This approach isn't just about building automations—it's about building a sustainable business that grows with you over time.

If you want to get into this in more depth check out the AI Automation Accelerator I run with @brandNat. It’s a 2 week course to help you build your first sellable automation and bring it to market. We go into a lot more detail than this Playbook and guide you through the technical creation with video tutorials. There are more details on the page as well as start dates and pricing. Here is it: learn AI automation.

Keep Prompting,

Kyle

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