A ready-to-use AI readiness checklist that walks a small-business owner through the seven things to have in place before adopting AI or hiring an AI vendor: data readiness, process readiness, team readiness, use-case fit, budget and ROI, governance and risk, and vendor readiness. Check off what's done, flag the gaps, and fix them before you buy.
Who needs this
Any small-business owner or operator who is thinking about adopting AI — automating a workflow, adding an AI tool, or hiring an AI agency — but isn't sure if the business is ready. Most AI projects fail not because the technology is bad but because the data was messy, the process was never written down, or nobody owned it internally. This checklist surfaces those gaps before you commit budget. Want a scored version instead? Our interactive AI Readiness Assessment gives you a number and a breakdown; this printable checklist is the working document you take into meetings and fill in by hand.
What's inside
- Data readiness — is your information organized, accessible, and clean enough to use?
- Process readiness — are the workflows you want to automate documented and repeatable?
- Team readiness — buy-in, skills, and a single designated owner
- Use-case fit — have you picked a high-ROI, low-risk first project?
- Budget and ROI — do you know the cost baseline you're trying to beat?
- Governance and risk — policy, data handling, and compliance basics
- Vendor readiness — the questions to ask before you hire an AI partner
- A priority grid to decide what to fix first
Preview
AI Readiness Checklist
Prepared: [DATE] · Owner: [NAME / ROLE] · Review before adopting AI or signing a vendor
1. Data Readiness
AI runs on your data. If your information is scattered, locked in someone's head, or full of errors, an AI tool will amplify the mess rather than fix it. Check off each item that is true today.
2. Process Readiness
You can only automate a process you can describe. If a workflow only exists as tribal knowledge, the first step isn't AI — it's writing it down. Check off what's already documented and repeatable.
The full template continues with 7 sections. Grab the editable Word file using the form, then customize the bracketed [PLACEHOLDERS] for your business.
How to use it
- Print the checklist or open the editable file, and add your company name and today's date at the top.
- Work through all seven categories and check off every item that is genuinely true today — be honest, half-true counts as unchecked.
- For each unchecked item, note who owns fixing it and by when in the margin or the notes column.
- Use the priority grid to decide which gaps to close before you buy, versus which you can fix alongside a vendor.
- For a scored result you can track over time, run the same seven areas through our interactive AI Readiness Assessment — this printable checklist is the working sibling you fill in during planning.
Frequently asked questions
- You're ready when the fundamentals are in place: your data is organized and accessible, the workflow you want to automate is written down and repeatable, someone internally owns the effort, you've picked a specific high-value low-risk first use case, and you know the cost baseline you're trying to beat. This checklist walks you through all seven areas so you can see, honestly, where the gaps are. You don't need every box checked to start — but you should fix your weakest area before you spend money.
- They cover the same seven areas but serve different moments. The interactive AI Readiness Assessment is the scored version — you answer questions and get a readiness number plus a breakdown you can track over time. This downloadable AI readiness checklist is the printable working version — you take it into a planning meeting, check items off by hand, and write who owns each gap. Most people run the assessment for the score, then print the checklist to actually do the fixing. They complement each other.
- No. The goal isn't a perfect score — it's an honest picture. Data readiness and process readiness are the two areas worth fixing before you buy, because a good vendor can't rescue messy data or an undocumented workflow. Gaps in team, governance, or vendor readiness can often be closed alongside your first project. Use the priority grid in the checklist to decide what to fix first versus what to fix as you go.
- Yes — that's exactly what the vendor-readiness section is for. Working through the checklist first means you walk into vendor conversations knowing your data situation, your target use case, your budget baseline, and the questions to ask. That alone filters out agencies that oversell and helps you scope a project you'll actually get value from. Pair it with our guide on how to hire an AI agency for the full buyer's checklist.
This checklist is provided by Layer3 Labs for general informational purposes only. It is advisory guidance to help you prepare for adopting AI and is not legal, financial, or professional advice. Your specific situation — especially anything involving regulated data or compliance obligations — may require review by qualified counsel or an advisor before you act.