No AI policy. No documented processes. No idea where to begin.
That's where most companies are. Here's how to get from zero to AI-ready without wasting money on tools you're not prepared to use.
You looked at the AI Maturity Map and most of it doesn't apply to you yet. That's fine. Most companies are in the same spot.
Companies buy AI tools before documenting processes. They deploy chatbots before training teams. Six months later, those tools are sitting unused and the CFO is asking questions.
Start with the foundations and you'll implement AI faster, cheaper, and with better adoption than companies that jumped straight to technology.
Before you buy any AI tools or hire any consultants, do these three things. Each one builds on the last.
Foundation for everything
You cannot automate what isn't written down. Think of it like this: AI is a really fast intern who does exactly what you tell them. The catch? You have to give crystal-clear instructions.
Where to Start:
Before someone shares the wrong thing
Your employees are already using ChatGPT, Claude, and other AI tools. You just don't know about it. Without a policy, they're potentially sharing company data with public AI systems.
Your Policy Should Cover:
Someone has to own this
AI initiatives without internal ownership fail. You need someone who understands the business, can rally support, and will actually follow through.
Your AI Champion Should Be:
Once you've done these 3 things, you're ready to start building. Here's what the next phase looks like:
AI Literacy Training
Teach your team how AI actually works and what it can't do
Tool Selection
Choose AI tools that fit your documented processes
First Automation
Deploy your first AI-powered workflow with proper oversight
You'll pay for seats nobody uses because your team doesn't understand the tools and you don't have processes ready to automate.
Without documented processes and internal ownership, consultants create expensive reports that gather dust. (The part nobody mentions.)
They're using AI tools right now. Without a policy, they're sharing company data with public AI systems you don't control.
Predictive analytics and autonomous agents sound exciting, but they need infrastructure you don't have yet. Start with the boring stuff that works.
Be honest with yourself. This tells you where to start.
If you answered "no" to most of these, start with Step 1 above.
A 30-minute conversation can save you months of false starts. I'll tell you exactly where to begin based on your situation.