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AI Enablement

How to Create a System for AI in My Business (The 92-8 Method I Use With Founders)

Rob Cressy
TL;DR
  • If you want to create a system for AI in your business, start with one question: what can AI do here, not what do I do here. Flip the starting point and you stop being the bottleneck.
  • Take any process you repeat, break it into sections, and turn each section into a skill. Then stack the skills so they run as one chain.
  • Give AI a written source of truth so your intelligence compounds and you are never locked into a single tool.
  • A founder I coach runs a process that eats 20 to 30 hours of his team's time. The same system thinking takes that to a couple of hours.

The Real Question

Most founders asking how to create a system for AI in their business are stuck on the same spot. They have a process that works, it just costs too many hours, and they are not sure where AI actually fits. To create a system for AI in your business, stop building AI around what you do and start building it around what AI can do, then turn each repeatable piece into a skill you stack into a chain. The human still runs the show. The human just moves to quality control instead of doing all the work.

A founder I coach runs a marketing agency with a six-section audit every new client goes through. That audit absorbs 20 to 30 hours of his team's time, so they can only take on two a month. He came to me already building toward AI, asking the exact question I hear constantly. How do I turn this into a system AI can run? When he walked me through it, every alarm bell in my head went off in the best way. That 20 to 30 hours of manpower could become two to three hours. Not someday. With the right system.

What does it mean to create a system for AI in my business?

I build my business on a principle I call 92-8. It is the mentality of an AI-first business. The human comes first, always, the AI-first part is how you think about every process. You imagine that 92 percent of a task has to be done by AI and only 8 percent by the human.

That number is a mindset, not a stat to hit. When the founder I coach said he wanted to get to 80-20, I pushed him further on purpose. The point of anchoring at 92-8 is that it forces the right first question on every task. Not how do I do this faster. How much of this can AI do, and what is the small slice only a human should touch?

Apply that to a 20 to 30 hour audit and you are suddenly looking at two to three hours. The work did not disappear. It moved. The human stopped being the engine and became the driver.

How do I start building an AI system instead of doing the work myself?

Start from what AI can do, not from what you do.

The founder I coach had already mapped the 15 things his team does in the first three months with every client. He handed me the roadmap without realizing it. So where my mind went was simple. What if AI can do 12 of those 15? You only find that out by starting from the AI side of the question.

This is the shift most people skip. Here is the honest thing I told him about my own business. I am the roadblock and bottleneck for everything in my business, all the time. The second you build with an AI-first mentality, you start handing the repeatable work to a system and you keep the judgment for yourself. You become the person who validates and verifies, not the person grinding through every step.

That is the whole game when you create a system for AI in your business. Move yourself out of the doing and into the deciding.

How do I turn a repeatable process into AI skills?

Take the process and break it into its real parts. Then make each part a skill.

The audit had six sections, so the move was obvious. Build a skill for each section. A skill is a saved set of instructions AI runs the same way every time. Once each section is a skill, you stack them. Research agent feeds a report skill, that feeds the next step, that feeds the next. You use your systems thinking and you stack the skill, stack the skill, stack the skill.

This is where it gets powerful. Claude Code has a thing called routines that can pull data and run tasks without you sitting there. What do those routines run off of the most? Skills. So once your process lives as stacked skills, you can point a routine at the whole chain. The audit runs. Then a human comes in to validate and verify the 8 percent that needs a real set of eyes. If you want the deeper version of this, I wrote a full walkthrough on how to create Claude skills for your business and another on building AI agents and routines as a non-technical founder.

One architecture decision matters here. With six sections, you can build one big audit or you can make each section its own build. Be intentional about that choice. I lean toward making each piece its own thing so you can open any one of them and see everything you need about it. Small, clean, stackable. Like Lego blocks.

What does AI need to actually run my system?

Context. That is the answer almost nobody gives enough weight.

I asked the founder I coach a question I ask everyone. What is the one thing AI needs to be great? Knowledge and context. If it is not written down, AI cannot do anything with it. That is the rule that quietly decides whether your system works. Your skills are only as good as the context you feed them.

This is why I built a written source of truth for my whole business. I use Notion as my second brain. The goal of a second brain is to forget everything, because you have documented the process and AI can read it. Claude connects to Notion directly, so Notion becomes the place every workflow runs into. I am never actually in Notion. It is not for me. It is for AI. I broke the whole approach down in how I built an AI second brain in Notion, and the underlying skill of capturing and organizing what matters lives in personal knowledge management for founders who use AI every day.

Writing your context down does two things at once. It de-risks you, because if all your information lives inside one AI tool you are beholden to that tool. I used ChatGPT for three years, then switched to Claude overnight. Gemini could be the best next year. When your intelligence lives in your own source of truth, you switch tools freely and lose nothing. It also compounds. Every build, every documented process, every captured client moment stacks on top of the last one. That is what creates compounding intelligence inside the business.

Why should I create a system for AI in my business now instead of waiting?

Because the systems you build today are the ones that compound for years.

There is a line I come back to with founders. When is the best time to plant a tree? Thirty years ago. When is the next best time? Today. AI will be here in one year, three years, five years. It might not look anything like it does right now. So the question is whether you want all the intelligence in your business compounding from this point forward or starting from scratch later.

Here is what I know to be true. Almost no businesses have this. Most teams are using AI for one-off answers, not running it as a system off documented context and stacked skills. The founder who builds the system now is the one whose quantum leaps happen fast, because the foundation is already there. The bigger the dreams, the deeper the foundation.

How does this change the way my team works with AI?

It sets the standard for everyone, because how the leader rows the boat with AI bleeds down to the team.

Success in a business rises or falls to the leadership. When you create a system for AI in your business and you actually live in an AI-first mentality, your team inherits it. They start asking the 92-8 question on their own work. They build their own skills. They treat AI output like a junior employee's work, something you QA before it goes to a client, never something you ship blind.

I would rather teach you to fish than hand you a fish. I build all the time and I build right alongside the people I work with, the point is never to drop a pile of tools on you. The point is the light bulb going off, then going off again, then again, until your team thinks in systems by default.

How to Create a System for AI in Your Business: The Steps

  1. Pick one process you repeat. The more hours it eats, the better.
  2. Ask the 92-8 question. What can AI do here, and what is the 8 percent only a human should touch?
  3. Break the process into its real sections. Make each section its own skill.
  4. Stack the skills into a chain so the process runs end to end, then add a human validation pass at the end.
  5. Write your context into a source of truth AI can read, so the skills have what they need and your intelligence compounds.
  6. Point a routine at the chain so it can run without you sitting there.

Start with one process. Get it running. Then do the next one. This stacks on top of itself like Lego blocks, and within a few cycles you are running a business most of your competitors cannot imagine.

The Close

Creating a system for AI in your business comes down to three moves. You flip one question, you turn your repeatable work into stacked skills, and you give AI a written source of truth so everything compounds. That is the whole system. More prompts and more tools were never the answer. The founder I coach walked in with a 20 to 30 hour audit and walked out seeing it as a two to three hour system. The process did not change. The thinking did.

You are not behind because you started late. You are an expert in your own business, your vision, and your experience. Layer an AI system on top of that and you become the person in your industry nobody can figure out.

If you want to go deeper on the full picture, here is how to build an AI operating system for your business without an IT team.

Build It With Me

The Gold Vault is where I keep the systems, skills, and frameworks I use to run an AI-first business, including the builds behind everything in this post. If you are ready to create a system for AI in your business and want the receipts instead of the theory, the Gold Vault is your shortcut. Come build with me.

Rob Cressy
Rob Cressy
AI Enablement Coach helping entrepreneurs and leaders go from AI curious to AI dangerous. 1,000+ days of daily AI usage. Host of The Undeniable Leader podcast.
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