The Business of AI

How I Became an AI Consultant and Killed a $300K Agency Contract

By Ekwy Chukwuji · 8 min read

In October 2023, I was genuinely scared I was going to lose my job to AI. Two years later, a VP of Marketing canceled a $300,000 agency contract because of something I built. This is the exact path I took to get there, so you can see how to become an AI consultant without being a machine learning engineer, without endless certificates, and without dying in tutorial hell.

The fear that started it

ChatGPT launched in November 2022, but I was too scared to touch it until October 2023. The thought that pushed me was blunt: if I do not get into this AI thing, I might lose my job to it. So I enrolled in an AI product management course on Maven, and it blew my mind. I started seeing problems everywhere, at my day job and in my side hustle, that AI could solve. I never looked back.

That is the first lesson. The course mattered, but only because I applied what it taught to real problems around me. A lot of people who want to become AI consultants spend their time watching YouTube and never step away from the screen to use what they learned.

The turn: solving small problems for real people

In early 2024 my CEO was completely against AI, so I tinkered on my own with ChatGPT. I pitched a venture capitalist on a hair analysis tool that used AI vision, and his advice redirected me: it was too early for that, and I should look at AI for marketing copy and a website chatbot instead. So I built a chatbot for my own site to convert the SEO traffic I had at the time.

By mid 2024 the CEO changed her mind and told the transformation director, we need AI and we need it now. That is when it accelerated. On top of my day job as a business analyst, I started training people to use ChatGPT at work and to build custom GPTs for their own departments and workflows. We had Claude Enterprise too, though only five people were allowed to use it, and I was one of them. I used it to create Jira tickets for the development teams and manage project flow.

Then departments started coming to my director, and he passed them to me. Each one taught me something:

Department	The problem	What I built
B2B sales	Renewal calls left money on the table	An upsell GPT for live calls, so reps could surface other products and discounts
Legal	New hires faced a mountain of policy documentation	An onboarding GPT they could chat with to get up to speed fast
Survey data	Spreadsheets with many tabs and macros, too complex for early ChatGPT	Hands-on analysis to find where the AI's limits actually were
B2C marketing	Campaign copy needed to sound human, not like AI	The GPT that eventually replaced a $300K agency

I am running through these so you see the pattern. I was not just watching tutorials. I was applying what I knew to a problem in front of me, going back and forth until it was solved.

The result: one GPT replaces a $300K agency

The B2C marketing GPT is the one that changed everything. The copy editor already had her process in order. She knew her best-selling Facebook campaigns, the emails that converted, and her voice. So I told her to gather all of it, because that becomes the knowledge base for the GPT. A knowledge base is the material the AI refers to when it answers you, and it is what trains the GPT to sound like us instead of sounding like AI.

After about nine months of adoption, training, and refining the prompt and knowledge base, the agency came to renew. The VP of Marketing made the call. In her own words, the GPT produced phenomenal copy, and we did not need the agency anymore.

Imagine one GPT. This is a $20 tool, and a team of over 50 could use it and scale astonishingly on everything we needed for our campaigns.

That is a $300,000-a-year contract replaced by a tool that costs about $20 per person.

The real secret: business logic first, AI second

Here is the mistake I watched people make over and over. They focus on what AI can do for them before they understand what they do today. Flip it.

What do you do today without AI? Then you add the AI on top of that. So your business logic first, then AI is second, always.

The copy editor knew her inputs, her winning campaigns, and her voice before any AI touched the work. AI is a powerful technology, and it is only powerful when you point it at a clear problem and a step-by-step workflow it can augment. Map the process first. Add the AI second.

So if you want to become an AI consultant, you do not need to be a machine learning engineer. You need to be curious, persistent, and willing to apply what you have learned to a problem near you. It could be a local business owner, a family friend, or your own employer. Solve it, and you have a case study you can share, iterate on, and use to help more people. That is the secret. Not more courses and not more certificates. The doing of it.

If you want to find that first problem worth solving, my AI Opportunity Checklist is a four-question scoring framework that shows where AI saves the most time and money, and the $300K Custom GPT Framework breaks down the exact five-module system behind the GPT in this story.

Frequently asked questions

How do I become an AI consultant with no technical background?

Apply what you learn to real problems around you instead of only watching tutorials. The path in this story started with one AI course, then solving small workplace problems for different departments, which built the experience and case studies that lead to consulting work.

Do I need a machine learning degree to consult on AI?

No. The work that replaced a $300K agency was done by a business analyst, not an ML engineer. What mattered was mapping the business process first and applying AI to a clearly defined problem.

How did a custom GPT replace a $300,000 agency contract?

The GPT was trained on a knowledge base of the company's best-converting campaigns, emails, and brand voice. After about nine months of refinement, the VP of Marketing judged its copy good enough that the agency was no longer needed, replacing a $300,000-a-year contract with a roughly $20-per-person tool.

What does "business logic first, AI second" mean?

It means you document how the work gets done today, including the inputs and the steps, before adding AI. AI augments a clear workflow. It cannot fix a process you have not mapped.

What is a knowledge base in a custom GPT?

A knowledge base is the material an AI refers to when answering you, such as past campaigns, brand guidelines, and examples. Feeding a GPT a strong knowledge base is what makes its output sound like your business rather than generic AI.

Find your first AI win

You do not need another certificate. You need one real problem and a framework to attack it. The $300K Custom GPT Framework is the five-module system that put business logic first and replaced a $300,000 agency contract.

Get the free framework →