Small Business AI Checklist

This checklist helps you evaluate whether any task or process in your small business is a good candidate for AI automation. Work through it before you start building so you avoid investing time in the wrong projects. For each task you are considering, answer every question honestly.

Repeatability

Does the same task happen more than once per week? Is the steps involved largely the same each time, even if the inputs vary? AI thrives on repeatability. A task that happens quarterly or randomly is harder to automate reliably and may not justify the effort.

• ☐The task happens at least weekly
• ☐The core steps are consistent across occurrences
• ☐There is a clear "wrong" way to do it that produces bad output
• ☐A new person could learn to do it by following documented steps

Data Availability

AI produces better output when it has good input data. For automation to work, the information the task needs must exist somewhere your AI can reach it, in a format that is readable and reasonably structured.

• ☐The data the task needs exists in a digital format
• ☐The data is in a tool with an API or export capability (CRM, email, Sheets, etc.)
• ☐Key fields are consistently filled in rather than free-text chaos
• ☐There are examples of good outputs your team has produced manually

Error Cost and Review Burden

Some errors are easy to fix. Others cost you a customer, a contract, or a relationship. Understanding the error cost tells you where human review is non-negotiable and where you can let AI run without a checkpoint.

• ☐I know what happens when this task is done wrong
• ☐Errors are caught by someone before they cause problems (or they are not caught)
• ☐I have a sense of how often errors happen today
• ☐I am comfortable with AI handling this if a human reviews the output

Time Investment

Even if a task is a good candidate for AI, the time savings must justify the build cost. A 5-minute task that happens twice a week is not worth a 40-hour automation project. A 3-hour task that happens daily definitely is.

• ☐This task takes more than 30 minutes when done manually
• ☐This task happens daily or causes backlog when skipped
• ☐I have estimated the annual time cost (hours × frequency × hourly value)
• ☐The estimated build time is less than 6 months of annual time savings

Human Judgment Requirements

AI handles rules well. Humans handle exceptions, relationships, and high-stakes decisions. A good AI candidate has rules that cover the vast majority of cases, with humans handling the edge cases that fall outside those rules.

• ☐The decision logic can be described in writing
• ☐There are clear situations where a human should override the standard process
• ☐The task does not primarily depend on relationship trust or emotional judgment
• ☐I can identify the exact points where a human should review or decide

Tool and Integration Readiness

AI needs to connect to the tools you use. If your data is locked in a legacy system with no export, or if your tools do not support any integration method, automation will be harder and more expensive.

• ☐I know exactly which tools hold the data this task uses
• ☐Those tools have an API, webhook, or reliable export/import method
• ☐I have access to set up integrations or can get IT help if needed
• ☐My team is willing to use a new workflow if it is clearly better

Score each task on a simple 1-5 scale across these dimensions. A task scoring 4 or 5 on most dimensions is a strong candidate. Tasks scoring low on Data Availability and Tool Readiness are worth fixing those gaps first before automating. Use the results to rank your top 3 candidates and start with the one that has the highest time savings and clearest process.