AI Readiness Assessment: A Checklist for Small Businesses

A small business is ready to use AI when it can name a specific, repetitive task to improve, the data for that task is reachable, the tools involved can connect to others, and there is a simple policy on what data may be shared. Score yourself on the checklist below, then start with one measured pilot.

Answer each question yes or no. Most yes answers in a section means you are ready there; most no answers points to what to fix first.

1. Processes

  • Can you name three tasks your team repeats every week?
  • Could someone write down the steps for each one?
  • Do you know roughly how many hours a month each one takes?

2. Data

  • Is the information those tasks use stored digitally, rather than on paper or in one person’s head?
  • Is it in a few known places, such as your CRM, accounting system, or shared drive?
  • Is it reasonably consistent, for example customer names and job numbers spelled the same way?

3. Tools

  • Do your main tools offer an API, an integration marketplace, or at least a reliable export?
  • Is there one admin who controls each account?

4. Policy and risk

  • Have you decided what kinds of data may be sent to an AI tool?
  • Are you using business plans, which exclude your data from model training by default?
  • Do you know which outputs must be reviewed by a person before they reach a customer?
  • Do any client contracts or regulations restrict where data can go?

5. People

  • Is one person responsible for the first AI project?
  • Will the people who do the task today help test the new version?
  • Is there time set aside for short training?

Choosing and measuring a first project

Pick the task with the most hours a month, the clearest steps, and the lowest cost of a mistake. Write down how long it takes now and how often it goes wrong. Run the AI-assisted version for a month, then compare both numbers. See what to automate first.

Frequently asked questions

What is an AI readiness assessment?
A review of whether a business has the processes, data, tools, policies, and people to use AI productively, and which project to start with. For a small business it can be done in an afternoon with this checklist, or with outside help.
Do we need clean data before using AI?
Not perfectly clean. You need the data for the first task in digital form and reasonably consistent. Many first projects tidy the data as a side effect.
Should we train employees on AI?
Briefly and practically: how to use the chosen tool for their actual tasks, what data not to share, and how to check outputs. An hour of hands-on training beats a general course.

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