Is your business ready for AI? Start by writing down how the work runs.
By Chris McCarthy, Founder & Chief AI Officer, OB.1
A lot of leaders ask me some version of the same question. Are we ready for AI? It's a good question, and AI readiness is simpler to judge than it sounds.
Readiness comes down to three plain things. Is the work written down? Can your team find the data it runs on? Are the people who run the work part of the conversation? If you can answer yes to all three for even one process, you're further along than you think.
What AI readiness means for a company like yours
I look at three areas when a leader asks me this. They line up with what any useful first step should cover.
Process
Can someone describe, step by step, how one core process runs today? Who owns each step, and what rule do they follow when they make a call? If those answers live only in conversation, a tool has no clear rules to work from yet.
Data and platforms
Where does the information for that process sit? Some of it lives in the ERP. Some lives in spreadsheets, inboxes and personal notes. You don't need clean data everywhere. You need to know where the data for one process lives and who keeps it current.
People
Who would use an AI tool day to day, and who would check its output? Are they involved early, or will they hear about it after a purchase? Readiness depends on the people as much as the software. When the team that does the work helps shape the plan, they trust the result. They also tell you early when something won't work, which saves time and money. Bring them in before any tool is chosen, and give them a clear say in how it gets judged.
Questions to ask your leadership team
You can test your own readiness in one meeting. Put these questions on the table and see how quickly the room agrees.
- Can we say who owns every step in one core process?
- Do we know where our pricing and cost data lives?
- Is anyone on the team already trying an AI tool on their own?
- Who would review AI output before a customer or supplier sees it?
- Which data should never go into an outside tool?
- Who would decide whether a trial worked?
If the answers come fast and match, you're in good shape. If they don't, that tells you where to start. Either result is useful. If you'd like a second set of eyes on those answers, a Blueprint Session is built for that conversation.
AI readiness in manufacturing
For manufacturing companies, a few processes usually carry the most weight: order intake, quoting, scheduling and reporting out of the ERP. Each one crosses several teams. Each one has rules that experienced people apply every day.
Those experienced people hold most of the know-how. They can tell you which orders need a second look and which customers have special terms. Writing that down with them gives the whole company a shared picture to build on.
Pick one of those processes and walk through it alongside the team that runs it. I describe a simple way to do that in the mapping guide. Once one process is on paper, the readiness question gets much easier to answer.
Do you need an AI maturity model?
You'll find plenty of maturity models online. They rank companies in stages, from early to advanced. Some leaders find them helpful as a reference.
For a first step, I'd skip the stage label. A written picture of how one process runs today will tell you more. It shows where a tool could help, who would own it and what data it would need. You can always place yourself on a model later.
What "ready" looks like for a COO and for a controller or CFO
Readiness looks a little different depending on your seat.
For a COO, ready means one process mapped with clear owners. Each step has a named person and a written rule. A tool added to that process has clear rules to work from, and someone to answer for it.
For a controller or CFO, ready means a bounded first step. You can see what the first piece of work covers and where any spend would go. The decision to buy a tool comes after that picture exists, with clear owners for the results.
For an owner or president, ready means both. The operation has a shared map, and the spend has a clear first target.
How OB.1 helps
The first step with OB.1 is a written look at how your process, data and people work today. It comes with a plan the business can use. We call that an Operational Blueprint.
It starts with a Blueprint Session. We talk through one process, what you've tried so far and what you'd like to change. You'll leave with a clearer sense of where to begin.
If you're still choosing a starting point, read the guide on where to start. If your team is already asking about tools, read the guide on setting rules for AI use.
Common questions on AI readiness
What is AI readiness?
AI readiness is whether your company can put AI to work on a real process. It depends on three things: a written process, findable data and involved people.
How do I know if my business is ready for AI?
Ask your leadership team who owns every step in one core process. Then ask where the data for that process lives. Fast, matching answers are a good sign.
What does AI readiness look like in manufacturing?
It usually starts with one process such as order intake, quoting or scheduling. Ready means that process is written down with owners, and the team that runs it is involved.
Is there a simple AI readiness checklist?
The questions in this article work as one. Use them in a single leadership meeting, and note where the answers disagree.
What is an AI readiness framework?
A framework is a structured way to check readiness. A simple one covers process, data and platforms, and people. Start with one process before you widen the view.