The AI Readiness Checklist for NZ SMEs

Is Your Business Ready for AI?

Before diving into AI automation, it's crucial to understand whether your business has the right foundation. This checklist will help you assess your AI readiness honestly and identify gaps to address.

The 10-Point AI Readiness Checklist

1. You Have Repetitive, Rule-Based Tasks

AI excels at tasks that follow clear patterns. Ask yourself:

• Do your team members spend hours on data entry?
• Are there approval workflows that follow predictable rules?
• Do you have scheduling or routing decisions that could be automated?

If you answered yes to any of these, you likely have good automation candidates.

2. Your Data is Accessible and Organised

AI needs data to work with. Evaluate whether:

• Your customer records are in a central system (CRM, spreadsheet, or database)
• Your processes generate digital trails (emails, forms, logs)
• You can export data from your current systems

Scattered paper records or siloed systems will need addressing first.

3. You Can Define Success Metrics

Without clear goals, AI projects drift. Before starting, you should be able to answer:

• What specific outcome do you want to improve?
• How will you measure success (time saved, errors reduced, revenue increased)?
• What does "good enough" look like?

4. Your Team Has Bandwidth for Change

AI implementation requires some team involvement. Consider:

• Can key staff dedicate 2-4 hours per week during setup?
• Is there appetite for learning new tools?
• Do you have a champion who's excited about the project?

5. You Have Budget for the Right Solution

AI automation isn't free, but it doesn't have to break the bank. Budget realistically for:

• Initial setup and customisation
• Ongoing platform or API costs
• Training and support

A typical SME AI project ranges from $2,000-$15,000 for implementation.

6. Your Processes Are Already Documented

AI works best when processes are understood. Check whether:

• You have written procedures for key workflows
• Team members agree on how things should be done
• Edge cases and exceptions are identified

If processes live only in people's heads, document them first.

7. You Understand the Compliance Landscape

AI involves data, and data involves responsibility. Ensure you know:

• What personal information you're handling
• Your obligations under the Privacy Act 2020
• Industry-specific regulations that may apply

8. Your Technology Stack Can Integrate

AI tools need to connect with your existing systems. Verify:

• Your key software offers APIs or integration options
• You're using modern cloud-based tools (generally easier to integrate)
• You have IT support available for technical setup

9. You're Solving a Real Problem

The best AI projects address genuine pain points:

• Is this problem causing measurable business impact?
• Have you tried solving it with simpler methods first?
• Will automation genuinely improve outcomes, not just add novelty?

10. Leadership is Committed

AI adoption requires support from the top:

• Does leadership understand the investment required?
• Is there commitment to see the project through initial challenges?
• Will decisions be made quickly when needed?

Scoring Your Readiness

8-10 checkmarks: You're ready to start exploring AI automation. Consider booking an audit to identify the highest-impact opportunities.

5-7 checkmarks: You're almost there. Focus on addressing the gaps before committing to a major project. Quick wins may still be possible.

0-4 checkmarks: Take time to build foundations first. AI will still be there when you're ready, and rushing now will waste resources.

Next Steps

Ready to assess your specific situation? Our AI Audit provides a detailed analysis of your automation opportunities, complete with ROI projections and a prioritised roadmap.

Or get in touch to discuss your current challenges—we're happy to point you in the right direction, even if AI isn't the answer.