AI & Intelligent Automation for Non-Technical Owners
A Plain-Language Primer
You do not need to understand how a system works under the hood to make a good decision about whether to use it. You need to be able to ask the right three questions and judge the answers. That's the entire point of this guide.
The Three Questions That Matter
1. What decision is this system actually making?Every automation or AI tool, strip away the marketing language, is doing one of two things: following a fixed rule you could write down yourself ("if the invoice is over $5,000, route it for approval"), or making a judgment based on patterns in data ("flag this transaction as unusual"). Ask whoever is proposing the tool to describe, in a plain sentence, what it decides. If they can't give you a plain-sentence answer, that's worth pausing on — not because the tool is necessarily bad, but because you can't evaluate what you can't get described simply.
2. What happens when it's wrong — and who catches it?Every system gets something wrong eventually. The real question isn't whether a tool is perfect — none are — it's whether a mistake gets caught before it causes real damage, and by whom. A good answer names a specific person or step that reviews outcomes, especially early on. A vague answer ("it's very accurate") without a real catch mechanism is a gap worth asking about directly.
3. Who can turn it off, and what happens to the work if we do?If the tool stopped working tomorrow — a service outage, a cancelled subscription, a decision to switch vendors — does the work it was doing simply stop, or does it fall back to something you can manage manually in the meantime? Knowing the answer before you adopt something, not after it fails, is the difference between a manageable hiccup and a genuine business disruption.
What You Genuinely Don't Need to Know
You don't need to understand the technical architecture, the underlying model type, or the specific software category to use these three questions well. A vendor or internal champion who can't answer them in plain language for your business hasn't actually explained the tool to you yet — regardless of how sophisticated the underlying technology is.
A Simple Way to Use This
The next time anyone — a vendor, a team member, a well-meaning consultant — proposes an AI or automation tool for your business, ask these three questions before the budget conversation, not after. If you want to check whether the underlying process is even ready for this kind of change in the first place, start with "Is Your Business Ready for Automation?" in this Resource Centre.
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