Your business is ready for AI agents when three things are true: the work you want help with follows rules someone could write down, the information the agent needs is written down somewhere it can reach, and there is a clear person who reviews what it does. If any of those is missing, an AI agent will either sit unused or make mistakes faster than your team can catch them.
The ten questions below test those three things. Answer yes or no honestly. It takes about five minutes.
The process questions
1. Can you describe the task in steps someone new could follow? If the only way to explain it is "you just know", an agent will not know either. Write the steps first.
2. Does the task happen at least weekly? Agents earn their keep on repeated work. A task that happens twice a year is rarely worth setting up.
3. Is it clear what a good result looks like? A well-qualified enquiry, a correctly filled record, a reply that answers the question. If your team argues about what "good" means, the agent cannot hit it.
4. Do you know which cases should always go to a person? Complaints, refunds, anything regulated, anything unusual. Knowing the exceptions is what makes it safe to automate the rest.
The information questions
5. Is the information the agent needs written down? Prices, services, policies, processes, frequently asked questions. An agent can only answer from what it has been given.
6. Is that information current, and is there one version of it? Three copies of the price list, each slightly different, will produce three different answers.
7. Does your data live in systems the agent can connect to? A CRM, a calendar, a shared drive. Notes in personal inboxes and paper files are out of reach.
The people questions
8. Is there a named person who will review what the agent does? Especially in the first weeks. Someone needs to read the conversations, spot mistakes and adjust the rules.
9. Will your team trust it enough to use it? If the team routes around it, it will not save time. Involve the people who do the work today in setting it up.
10. Do you know how you will measure whether it helped? Response time, hours saved, bookings made, errors caught. Pick one number before you start.
What your score means
8 to 10 yes answers: you are ready. Start with the task that scored best on questions 1 to 4, run it with close review for a month, then widen it.
5 to 7: you are close. The no answers are your to-do list, and most of them are about writing things down, not about technology. Fixing them helps your team even if you never use AI.
4 or fewer: start with the groundwork. Document the process, clean up the information and give it an owner. Then come back to this list. Buying an agent now would mostly buy you a new source of mistakes.
Where businesses usually start
The first agents that work well tend to be the ones closest to a script:
- Answering and qualifying new enquiries by chat, text or phone, then booking the right people into a call. See our pages on chatbots and voice agents.
- Answering your team's internal questions from your own documents, with the source quoted. See AI knowledge assistants.
- Turning meeting notes into tasks and draft follow-ups for a person to check before anything is sent.
What they have in common: clear rules, written-down information, and a person who reviews the output. That is the whole test in one line.
Take the longer version
Our AI Scorecard goes deeper, scoring your business across each layer an AI system depends on and showing which one is weakest. It takes a few minutes and you get your results straight away.
