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How ready is your business for AI?
Take our free 2-minute assessment and get a personalised readiness score with actionable recommendations for your business.
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Why AI readiness matters
Most businesses that fail with AI don't fail because the technology is wrong. They fail because they weren't ready. Messy data, unclear goals, and teams that don't understand what AI actually does are the real killers of AI projects.
An AI readiness assessment gives you a clear picture of where you stand today. It identifies the gaps between where you are and where you need to be before investing in AI tools, platforms, or custom solutions. Think of it as a diagnostic before the treatment.
The five dimensions we measure (data maturity, process automation, team capability, budget readiness, and use case clarity) are the same factors that determine whether an AI project delivers ROI or becomes an expensive experiment.
The five dimensions of AI readiness
Data Maturity
AI is only as good as the data it learns from. This dimension measures how your data is stored, its quality, and how much historical data you have available for analysis.
Process Automation
Before AI can optimise your processes, those processes need to be defined and ideally already partially automated. This measures your current automation maturity.
Team Capability
Your team needs to understand, maintain, and iterate on AI solutions. This assesses technical talent, leadership buy-in, and existing AI experience.
Budget & Investment
AI adoption requires investment. This dimension evaluates your technology budget, how you view AI spending, and your timeline for implementation.
Use Case Clarity
The businesses that succeed with AI know exactly what problem they are solving. This measures how well-defined your AI use cases and success metrics are.
Frequently asked
Common questions about AI readiness
What does the AI readiness assessment measure?
The assessment scores your business across five key dimensions: data maturity, process automation, team capability, budget and investment readiness, and use case clarity. Each dimension is scored out of 12, giving a total score out of 60 that maps to a readiness grade from A (AI Ready) to D (Foundation Building).
How long does the AI readiness assessment take?
The assessment takes around 2 minutes to complete. There are 15 questions across 5 sections, each with 4 clear options to choose from. You get your results immediately after the final question.
Is AI right for my business?
Almost every business can benefit from AI in some form, but the right approach depends on your current readiness. Businesses with strong data foundations and clear use cases can start building AI products immediately. Those earlier in the journey should focus on data infrastructure and process automation first to get the most from AI investment.
What should I do after getting my AI readiness score?
Focus on the recommendations provided with your score. These are tailored to your lowest-scoring dimensions and give you specific, actionable next steps. If you scored B or above, you are likely ready to start a pilot AI project. If you scored C or D, prioritise the foundational work first. It'll save you money and time in the long run.
How much does it cost to implement AI in a business?
AI implementation costs vary widely depending on scope. A simple automation or chatbot integration might cost $5,000–$15,000. Custom AI models and data pipelines typically start from $20,000–$50,000. The key is starting with a focused pilot that proves ROI before scaling. Our assessment helps you identify the right starting point.