Can ChatGPT Help You Build an AI Strategy for Your Business?

I heard someone say recently:

“AI strategy is not ChatGPT. Period.”

I agree.

But I think that statement stops one sentence too soon.

ChatGPT is not your AI strategy.

Neither is Claude. Gemini. An AI agent. An automation. Or whatever new tool launches next week.

Your business strategy is the strategy.

But AI can absolutely help you develop it.

And I think we need to start talking about that again.

We have become so focused on AI tools, agents, automation and implementation that we risk skipping the most important part:

Understanding the business first.

AI strategy should start with the business

Before deciding where AI belongs in your company, you need to understand what you are trying to accomplish.

What is working?

What isn’t?

Where are you losing time, money or customers?

Which decisions are difficult to make?

What is preventing growth?

Where does your team get stuck?

What do your customers keep telling you?

What outcomes actually matter?

That is diagnostic work.

And it should happen before you start shopping for technology.

This has always been my approach:

Structure first. Then AI.

But there is another part of that equation that I think deserves more attention.

AI can help you do the thinking.

ChatGPT does not need to run your business to create value

There seems to be an assumption that using ChatGPT, Claude or Gemini is somehow the entry-level version of AI.

And that eventually a “real” AI strategy means moving beyond them into integrations, agents and sophisticated systems.

Sometimes it will.

Sometimes it won’t.

Because one of the most valuable things these tools can do for a business owner is help you make better decisions.

You can use AI to:

• Challenge the assumptions behind a growth plan
• Pressure-test a new product or service
• Analyze customer feedback
• Explore different pricing scenarios
• Identify gaps in a business process
• Compare strategic options
• Prepare for an important decision
• Question whether the problem you are trying to solve is actually the problem
• Identify what information you still need before making a decision

That is very different from asking ChatGPT to write an email or create ten social media posts.

You are using AI as a strategic thinking partner.

And you can do that before you automate a single thing.

The MIT research made this even more relevant

The MIT Project NANDA report, The GenAI Divide: State of AI in Business 2025, generated a lot of attention because of one number:

95%.

The preliminary research found that 95% of the integrated AI pilots examined were producing no measurable P&L impact, while a small group were generating significant value.

That headline travelled quickly.

But I think the more useful conversation sits underneath the number.

The report was based on more than 300 publicly disclosed AI initiatives, interviews with representatives from 52 organizations and survey responses from 153 senior leaders.

The researchers found a major gap between AI adoption and business transformation.

Companies were using AI.

They were experimenting.

They were investing.

But that activity was not necessarily translating into measurable business results.

The researchers pointed to issues including workflow fit, integration, context and the ability of systems to learn and adapt.

That should matter to every business owner considering their next AI investment.

Read The GenAI Divide: State of AI in Business 2025: https://studylib.net/doc/28102856/v0.1-state-of-ai-in-business-2025-report

Explore MIT Media Lab’s Project NANDA: https://www.media.mit.edu/groups/nanda/overview/

The lesson I take from the research is not that AI doesn’t work.

It is that implementing AI is not the same as creating business value.

And that brings us straight back to strategy.

Don’t automate a problem you haven’t diagnosed

I see businesses asking:

What should we automate?

Should we build an AI agent?

Which AI platform should we use?

How do we integrate AI into our CRM?

Those can all be good questions.

But they are second questions.

The first question is:

What business problem are we trying to solve?

Imagine customer inquiries are taking too long.

The obvious response might be an AI customer service agent.

But diagnosis might tell you something different.

Perhaps customers are contacting you because your onboarding instructions are confusing.

Maybe your website doesn’t answer the questions customers actually ask.

Perhaps your internal processes are creating the delay.

Or maybe an AI agent really is the right solution.

You don’t know until you understand the problem.

A more expensive AI solution does not fix a poorly defined business issue.

Sometimes AI should help you think before it helps you automate.

Where does AI actually belong?

Once you understand the problem, you can make a much better technology decision.

The answer might be:

ChatGPT.

Claude.

Gemini.

An automation.

An AI agent.

Specialized software.

A custom integration.

Or no AI at all.

That last answer matters.

Choosing not to use AI somewhere can be just as strategic as choosing to use it.

The goal isn’t more AI.

The goal is a better business.

A simple way to start

Before adding another AI tool, walk through five steps.

1. Diagnose

What is actually happening in the business?

2. Define

What outcome are you trying to improve?

3. Challenge

Use AI to question your assumptions, explore the issue and identify what you may be missing.

4. Decide

Determine whether AI belongs in the solution and, if it does, what level of technology makes sense.

5. Measure

Define what needs to change for the investment to be worthwhile.

Only then should you start thinking about tools, workflows, ownership, guardrails and implementation.

Try this with the AI you already have

You don’t need a new platform to start.

Give ChatGPT, Claude or Gemini enough business context and try this:

Act as my strategic business advisor. Do not recommend AI tools or automation yet.

Help me diagnose the business issue first.

Ask me questions about:

• The outcome I am trying to achieve
• What is happening today
• The people involved
• Customer impact
• Costs and revenue implications
• Current processes
• Available information and data
• Risks
• How I would measure success

Challenge my assumptions rather than agreeing with me.

Help me identify the root business problem before we discuss possible solutions.

Once we have clearly defined the issue, help me evaluate where AI could create value, where it would add unnecessary complexity and where a non-AI solution may be better.

That is where I believe more businesses need to start.

Not with the newest AI tool.

Not with an agent because everyone is talking about agents.

Not with automation because a process happens to be repetitive.

Start with the business.

Use AI to help you think.

Then decide where AI earns its place.

AI is not the strategy.

Better business decisions are.