“Should we be doing something with AI?” is the wrong first question. The right one is quieter: is our business actually ready to get value from it yet? Plenty of companies aren't, and the ones that rush in anyway tend to spend the most for the least. Here's how to tell where you stand, in plain terms.
Seven signs you're ready
None of these is about being technical. They're about having something real for AI to work on.
- You have a specific, expensive problem. Not “use AI,” but something like “quotes take three days” or “support is drowning in repeat questions.” A concrete pain is the best possible starting point.
- That problem repeats. AI pays off on things that happen hundreds or thousands of times, not one-offs. Volume is where the savings live.
- You have data about it, even messy data. Past quotes, tickets, documents, transactions. It doesn't need to be clean yet; it needs to exist.
- Someone owns the outcome. A person who feels the pain and can say whether a result is actually better. Without an owner, projects drift.
- Leadership will fund a small step. Not a blank cheque, just enough appetite to try something low-risk and judge it on results.
- You can measure “better.” Hours, errors, response time, revenue. If you can't measure it, you can't tell whether AI helped, or justify scaling it.
- You'd trust a careful answer over a fast one. The businesses that do well with AI want it accountable and explainable, not magic. That instinct protects you.
Four signs to do a little groundwork first
These aren't “no.” They're “not quite yet,” and each is fixable.
- Nobody agrees on the problem. If five leaders would name five different priorities, start by picking one. A scattered start produces a scattered result.
- The data is locked away or doesn't exist. If the relevant information lives only in people's heads or in a system no one can export from, that's the first thing to address.
- You need it perfect on day one. AI improves with iteration. If a workflow has zero tolerance for a wrong answer and no room for a human to check, pick a more forgiving place to start.
- You're buying it because competitors are. Pressure is a fine reason to look; it's a poor reason to spend. Tie the investment to a result you actually want.
Where to start once you're ready
If most of the first list sounds like you, the lowest-risk first move is a short, structured look at where AI would actually pay off, ranked by impact and effort, before you commit real money. If you're not sure where you land, our two-minute readiness scorecard gives you an honest read and a recommended first step, instantly and with no obligation.