Most small and mid-sized business owners ask the same question right now: "Should we be doing something with AI?" The honest answer for a lot of them is "yes, but not the thing you are thinking of." The expensive answer is hiring an agency before you know what you actually need.
This is a self-serve 30-minute audit you can run yourself, at your desk, with coffee. Seven yes/no questions, a scoring rubric, and a concrete next step based on where you land. We use this exact framework at the start of every AI engagement at DesignKey. You are welcome to it for free.
How to use this
Grab a piece of paper. Answer each question honestly — not aspirationally. Give yourself 1 point for a clean yes, 0.5 for a partial, 0 for a no. Total is out of 7. Your score maps to a recommended next step at the end.
Time yourself. The whole thing should take 25–30 minutes.
The 7 questions
1. Can you name two specific, repetitive tasks someone on your team does 3+ hours per week?
Be specific. "Admin work" is not an answer. "Jen spends 4 hours every Monday compiling weekly sales reports from HubSpot, QuickBooks, and our order system into a PDF" is an answer.
Score: 1 (can name 3+), 0.5 (can name 1–2), 0 (none).
2. Do you have digital data for those tasks, or is it locked in paper, PDFs, or someone's head?
AI is only as good as the data it can reach. If your customer list is in a filing cabinet or your pricing logic lives in your sales manager's memory, those tasks are data-readiness projects first.
Score: 1 (digital with APIs), 0.5 (digital but messy), 0 (largely offline).
3. Has someone on your team actually used a frontier AI tool (ChatGPT, Claude, Gemini) for real work — not just played with it?
Real use means weekly output — drafts, research, summaries, code, analysis. If no, spend 2 weeks using the free tools yourself before buying an AI product.
Score: 1 (used weekly+ for 3+ months), 0.5 (occasional), 0 (no real use).
4. Do you have a named person with 3+ hours per week to own AI experimentation?
AI adoption in SMBs dies from neglect. Someone — the owner, an ops manager, a younger employee — must own it. Without a named owner, pilots stall.
Score: 1 (named person, explicit time), 0.5 (informal owner), 0 (nobody).
5. Could you describe, in two sentences, what "success" looks like 6 months from now?
Good: "We save Jen 3 hours a week on reporting." Bad: "We're more innovative." If you cannot define success concretely, you need a strategy conversation before scoping a project.
Score: 1 (clear, measurable), 0.5 (general direction), 0 (vague).
6. Do you have $5K–$50K of actual budget for this?
Useful pilots can run for under $1K. Real integration and custom workflow work starts at $15K–$50K for most SMBs. No-budget curiosity is fine — just know you are in learning mode, not execution mode.
Score: 1 (budget allocated), 0.5 (likely if case is made), 0 (none).
7. Are you willing to let your team change how they work, not just bolt a tool onto what they already do?
The killer question. Most AI projects fail because the tool is grafted onto an unchanged process. Real wins come from letting the tool reshape the workflow — which means jobs change, meetings shrink, or reports stop existing.
Score: 1 (open to real change), 0.5 (nervous but open), 0 (no).
Score it up
Add your 7 numbers. Total is out of 7.
6.0–7.0: You are ready to ship something real
You have the tasks, the data, the owner, the budget, and the willingness to change. Your next step is a focused pilot — pick one of the repetitive tasks you named in Question 1, define success metrics from Question 5, and scope a 6–10 week build.
This is the range where our AI integration engagements tend to succeed cleanly. Get in touch and we will scope it.
4.5–5.9: You are 80% ready — one gap to close
Something is missing. Usually it is Question 2 (data readiness), Question 4 (no owner), or Question 7 (process change reluctance). Close the gap before you invest in a build.
Spend 30–60 days fixing the weak area. Get your data into a real system, or assign a clear AI owner, or have the hard conversation with your team about workflow changes. Then come back to the audit.
3.0–4.4: You are in learning mode, not execution mode
You do not need an agency yet. You need 60–90 days of structured experimentation — assign the owner from Question 4, give them a budget of 5 hours/week and $50/month in tool subscriptions, and have them work through actual business tasks with AI tools.
Re-run this audit in 90 days. Your score will likely jump by 2+ points and you will be ready for a real conversation.
Under 3.0: You are not ready for AI work, and that is fine
An agency that takes your money at this score is taking advantage of you. The honest next step is not an AI project — it is an operational audit. Get your data systems in order, write down your repetitive processes, and build the foundation.
Once you have that foundation, come back.
What happens if you want the full audit
This self-audit gets 80% of SMBs to a clear next step. For the remaining 20% — complex operations, regulated industries, multi-system integrations — the full 90-minute version with an expert is worth running.
We offer the extended AI Readiness Audit as a paid engagement: 90 minutes of deep discovery, a scored report across 25+ dimensions, and a written roadmap with prioritized next steps. Flat-fee, and the output is yours whether or not you work with us on the build.
If you hit a 6+ on this self-audit and want to scope a pilot, or want to run the extended version, contact us. We will tell you honestly whether you need a $5K experiment, a $50K pilot, or 60 more days of learning first.
Start with the seven questions. Everything else builds from there.