Most businesses that come to me have already tried AI in some form. They bought a tool, watched a webinar, maybe even hired someone to "implement AI." And most of them are stuck in the same place they started. Not because AI does not work, but because they skipped the most important step: building a plan that starts with the business, not the technology.
That plan is what I call an AI roadmap. And in this article, I want to pull back the curtain on what a real one looks like, what it should include, what it should cost, and how to tell the difference between a roadmap that drives results and a fancy PDF that collects dust.
The problem with most AI "strategies"
Here is what typically happens. A business leader hears about AI at a conference, reads a few articles, and decides it is time to "do something with AI." They bring in a consultant or vendor who runs a few demos, recommends a stack of tools, and hands over a report. Everyone feels productive. Then nothing changes.
The reason is simple: they started with the tools instead of the problems. A real AI roadmap does the opposite. It starts by understanding your business, your operations, your customer journey, and your bottlenecks. Then it identifies where AI creates the most leverage, and builds a plan to get there in a realistic, sequenced way.
What a real AI roadmap includes
Every business is different, but a roadmap worth paying for should include these core elements.
A clear picture of where you are today
This is the discovery phase. Before recommending anything, your advisor should map your current operations, messaging, customer experience, and decision-making processes. The goal is to understand where time is being wasted, where information is getting lost, and where human effort is being spent on work that AI could handle. This is not a technology audit. It is a business audit, viewed through the lens of what AI can and cannot do well.
Three to five high-leverage opportunities
A good roadmap does not list 25 things you could do with AI. It identifies the three to five that will actually move the needle for your specific business. These should be ranked by impact and feasibility, not by how impressive they sound. For some businesses, the biggest win is automating client onboarding. For others, it is building decision frameworks that help leadership move faster. The right priorities depend entirely on your situation.
Expected ROI for each initiative
If someone hands you an AI roadmap without talking about return on investment, walk away. Every recommendation should come with a realistic estimate of what it saves (time, money, or both) and what it costs to implement. This does not need to be precise to the dollar, but it needs to be grounded in reality, not aspirational projections designed to justify a consulting fee.
A realistic timeline with sequencing
Sequencing matters more than most people realize. Some AI implementations build on each other. Some require process changes before the technology can work. A roadmap should lay out what to do first, what to do second, and what to wait on, along with realistic timelines for each phase. If someone tells you they can transform your entire operation in 30 days, they are selling you something.
A path from plan to execution
This is where most roadmaps fall apart. They end with recommendations and leave you to figure out the "how." A roadmap worth paying for should include enough detail that you can actually execute it, whether that means the advisor stays involved through implementation or hands you off with clear enough instructions that your team can run with it.
What an AI roadmap should cost
This varies widely, and for good reason. A roadmap for a 10-person service business is a fundamentally different project than one for a 200-person company with multiple product lines. But here are some rough benchmarks to help you calibrate.
At the low end, expect to pay $5,000 to $15,000 for a focused engagement that covers discovery, a prioritized roadmap, and enough implementation support to get the first initiative running. This is appropriate for small to mid-size businesses with relatively straightforward operations.
At the higher end, $25,000 to $75,000 or more is common for larger organizations that need deeper discovery across multiple departments, more complex integrations, and ongoing advisory support. Enterprise engagements with dedicated team involvement can run well above that.
What you should be skeptical of: anyone charging $500 for an "AI strategy." At that price, you are getting a template, not a roadmap. You are also right to be skeptical of anyone who quotes a price before understanding your business. A credible advisor will need a conversation with you before they can scope the work.
Red flags to watch for
After 25 years of building businesses and working with outside advisors of every kind, I have a short list of warning signs that an AI engagement is not going to deliver.
They lead with tools, not questions. If your first meeting is a product demo instead of a deep conversation about your business, you are talking to a vendor, not an advisor.
They promise transformation without discovery. Anyone who tells you what AI can do for you before they understand what your business actually does is guessing.
The deliverable is a slide deck. A presentation is not a plan. You need something you can execute against, with clear steps, owners, and timelines.
There is no ROI conversation. If they never talk about what the investment will return, they are not thinking about your business. They are thinking about their engagement.
They disappear after delivery. The best plans still need support during execution. If your advisor is not available for questions, troubleshooting, and iteration after they hand over the roadmap, the value drops significantly.
How I approach it
I want to be transparent about how this works at Executive AI Guy, because I think the process itself tells you a lot about whether a given approach is right for you.
Every engagement starts with a discovery conversation. I need to understand your business before I can tell you anything useful about AI. That means understanding your operations, your team, your customers, your messaging, and where you are spending time that you should not be.
From there, I build a roadmap that identifies the three to five highest-leverage AI opportunities, with expected ROI, timelines, and a clear implementation path. And I do not hand it off and wish you luck. I build the first solutions alongside you so the plan is already producing results before the engagement wraps.
My entry-level engagement for this is $12,500. That covers the full discovery, the roadmap, and hands-on implementation support. For leaders who want ongoing partnership, I offer executive AI coaching at $5,000 per month with a six-month commitment, or a fractional COO/CMO role at $10,000 per month for twelve months.
Is that right for everyone? No. If you are a solopreneur just getting started, you might be better served by the free AI Readiness Assessment on my homepage, which gives you a solid starting point at no cost. But if you are a business leader who knows AI matters and needs a clear, honest plan to make it work, that is exactly what the roadmap is built for.