Before you spend a dollar on AI, you need to know if your business is ready for it. Most AI projects fail not because the technology is wrong — but because the business wasn't prepared. This checklist helps you assess your AI readiness in 15 minutes, covering data, processes, team, and budget.
Why 85% of AI projects fail (and how readiness prevents it)
Gartner estimates that 85% of AI projects never make it to production. The usual suspects: bad data, unclear goals, no executive buy-in, and trying to automate a broken process.
An AI readiness assessment catches these problems before you invest. It takes 15 minutes and saves months of wasted effort. At AffixedAI, this is the first thing we do with every client — before we talk pricing, before we talk technology.
The 20-point AI readiness checklist
Section 1: Data readiness (5 questions)
- Is your core business data digital? If customer records, invoices, or inventory are still on paper or in spreadsheets that nobody updates, AI has nothing to work with.
- Do you have at least 6 months of historical data? AI learns from patterns. Less than 6 months and there's not enough to learn from.
- Is your data in one place? If customer data lives in Gmail, QuickBooks, a CRM, and a spreadsheet, the first step is consolidation — not AI.
- Can you trust your data? Duplicate records, missing fields, and inconsistent formatting will make AI produce garbage. Clean data first.
- Do you have permission to use it? HIPAA for healthcare, GDPR for EU customers, PCI for payment data. AI doesn't exempt you from compliance.
Section 2: Process readiness (5 questions)
- Can you describe the process you want to automate? If you can't explain it to a new employee, you can't explain it to AI.
- Is the process currently done the same way every time? AI automates consistent processes well. It struggles with processes that change based on who's doing them.
- How much time does this process take per week? If it's 2 hours/week, AI might not be worth the setup cost. If it's 20+ hours/week, it probably is.
- What's the error rate of the current process? High error rates mean AI has room to improve. Low error rates mean the ROI is in speed, not accuracy.
- Who will own the AI process once it's live? AI needs a human owner. If nobody is responsible for monitoring and adjusting, it will drift.
Section 3: Team readiness (5 questions)
- Does leadership support this? AI projects without executive buy-in die in pilot. Every time.
- Is the team open to changing how they work? AI changes workflows. If the team resists change, adoption will fail regardless of how good the tool is.
- Do you have someone technical enough to evaluate vendors? You don't need a data scientist. You need someone who can ask the right questions and spot BS.
- Can you dedicate 5-10 hours/week during implementation? AI implementation is not “set and forget.” The first 4 weeks require active involvement.
- Have you identified the first 3 people who will use it? Start small. Three power users who are excited beat 50 reluctant adopters.
Section 4: Budget readiness (5 questions)
- Do you have budget for implementation, not just software? The tool costs 30% of the total. Setup, training, and iteration cost 70%.
- Can you sustain the monthly cost for 12+ months? AI ROI compounds over time. Canceling after 3 months means you paid for setup but never got the return.
- Do you know what success looks like in dollars? “We want AI” is not a goal. “We want to reduce invoice processing from 4 hours to 30 minutes” is.
- Have you factored in the cost of NOT doing it? Your competitors are implementing AI. The cost of waiting is the gap between your efficiency and theirs.
- Is your budget flexible enough for iteration? The first implementation is never perfect. Budget for 2-3 rounds of adjustment.
Score yourself
Give yourself 1 point for each “yes.”
- 16-20: Ready to go. You can start an AI implementation today. Focus on picking the right use case and vendor.
- 11-15: Almost ready. Fix the gaps first. Usually it's data consolidation or team buy-in. A quick fix phase (2-4 weeks) gets you to ready.
- 6-10: Foundation needed. You need to build the foundation before AI makes sense. This is what our Agent Readiness package is for.
- 0-5: Not yet. Focus on digitizing your business first. AI on top of broken processes makes them worse, not better.
What to do with your score
If you scored 11+, you're ready for a deeper assessment. Our free AI consultation takes 15 minutes and gives you a personalized roadmap — what to implement first, expected ROI, and a realistic timeline. No sales pitch, just an honest assessment of where AI fits in your business.