Is your business ready for AI? The 10-minute readiness checklist (2026)
Answer the 20 yes/no questions below — four each across workflows, data, tools, team and guardrails — scoring one point per yes. 15 or more: you’re ready to scale AI across workflows. 8–14: you’re ready to pilot one workflow now. Under 8: fix the foundations first — usually workflow clarity and source-of-truth data, not more AI tools. It’s the same ground a paid AI audit (from about $5,000 in Australia) covers in its first pass.
- AI readiness is organisational, not technical: workflows, data, tools, team, guardrails.
- Tick the boxes as you go — your score and its meaning update live below the checklist.
- The most common gap is source-of-truth data: prices and policies living in contradictory spreadsheets.
- Score bands: under 8 fix foundations · 8–14 pilot one workflow · 15+ ready to scale.
- A paid AI audit (from ~$5,000) covers the same ground plus payback numbers and a scoped first build.
Why “readiness” decides whether AI pays off
Most failed AI projects in small businesses don’t fail on the technology. They fail because nobody could name the workflow being automated, the data the AI needed lived in four contradictory places, no one owned the system, or there was no baseline to measure against — the same organisational gaps every time. The good news: every one of them is checkable in advance. That is what this list does. Be honest with it; flattering yourself here just moves the failure later, where it costs more.
The 20-question AI readiness checklist
AWorkflows
BData & source of truth
CTools
DTeam
EGuardrails
What your score means
- 0–7 — fix the foundations first. Don’t buy AI tools yet. Spend a fortnight on the unglamorous work: list your repetitive tasks and their weekly hours (steps 1–2 of the implementation guide), and consolidate prices, policies and templates into one source of truth. If you’d rather build the judgement before the systems, a structured program for decision-makers like ai-course.com.au — run by Propeller’s founder — covers exactly this ground in four weeks.
- 8–14 — pilot one workflow now. Your foundations can support a first automation. Pick the workflow where volume is highest and risk lowest, run a two-to-four-week pilot with a human approving output, and measure hours saved against the baseline. The five-step method is in how to implement AI in your business.
- 15–20 — ready to scale. Foundations, team and guardrails are in place; the constraint now is build capacity. Line up the next three workflows by payback and ship them one at a time — or have them built and integrated for you: that is exactly what Propeller’s AI consulting does, scoped up front after a free discovery chat.
What does a professional AI audit include?
This checklist tells you whether you’re ready; an audit tells you what it’s worth. A professional AI audit or readiness assessment — from about $5,000 in the Australian market — quantifies the hours lost in each workflow, ranks your automation candidates by payback, reviews your data and integration surface properly, and hands you a scoped, priced plan for the first build. What to expect and what it should cost is covered in what an AI consultant does and costs in Australia.
Frequently asked questions
What is an AI readiness assessment?
A structured check of whether a business can get value from AI right now — across workflow clarity, data quality, tools, team capacity and guardrails. The 20-question checklist on this page is the self-serve version; a professional AI audit or readiness assessment (from about $5,000 in the Australian market) covers the same ground plus quantified hours-lost estimates, a ranked automation shortlist with payback numbers, and a scoped plan for the first build.
How is this checklist different from a paid AI audit?
The checklist tells you whether you are ready and what to fix; an audit tells you what it is worth and what to build first. A paid audit quantifies the hours lost per workflow, ranks automation candidates by payback, reviews your data and integration surface, and hands you a scoped first build. Do the checklist first — if you score under 8, fix the foundations before paying anyone.
What score do I need before starting with AI?
Eight or more out of 20 is enough to pilot one low-risk workflow, provided the yeses include a nameable workflow, one source of truth for the data it touches, and a person to review output daily. Fifteen or more means the foundations can support scaling across several workflows. Under eight, spend your first effort on workflow clarity and data — not on AI tools.
What is the most common AI readiness gap in small businesses?
Source-of-truth data. Prices, policies and templates living in several contradictory spreadsheets and inboxes is the single most common reason automations misfire — the AI quotes confidently from the wrong version. Consolidating to one authoritative source is unglamorous, usually takes days not months, and pays off even if you never automate anything.
How often should a business re-assess AI readiness?
Re-run the checklist quarterly, or after any pilot — every automation you ship changes the answers (usually upward: cleaner data, a trained owner, proven guardrails). Treat a rising score as the leading indicator that the next, more ambitious workflow is now safe to take on.
Scored 8 or more? Find out what it’s worth.
A free discovery chat is the fastest way to turn your score into a shortlist: we’ll tell you honestly which workflows will pay back fastest in your business — and what we’d scope first.
Book a free discovery chatRelated: AI consulting at Propeller · how to implement AI in your business · AI automation for small businesses · what an AI consultant does and costs