AI readiness check
Find your business’s next step with AI.
Understand your strengths and the gaps to work on. Get a personalised readiness score with specific recommendations for your business.
3 minutes · No email required · Designed for SMEs
What we assess
AI readiness isn't just about technology. These 5 dimensions determine whether AI will actually work in your business.
Strategy & Goals
How clearly you have identified AI opportunities and who is driving adoption.
Data & Systems
How organised your data is and how well your tools connect to each other.
People & Skills
How ready your team is to learn and adopt new AI tools and ways of working.
Processes & Workflows
How documented your work is and how actively you seek to automate repetitive tasks.
Governance & Trust
Whether you have guidelines for AI use and how comfortable you are with AI-assisted decisions.
Your result
A personalised score for each dimension
Plus specific next steps tailored to where you are today — not generic advice.
Frequently asked questions
What does "AI ready" actually mean?
Being AI-ready means your business has the data, skills, processes, and culture to successfully adopt AI tools. It doesn't mean you need to be technical — it means you have the foundations in place.
Is this relevant to my business?
Yes, if you're a small or medium business (5-200 people) in any industry. This assessment is designed for non-technical leaders, not enterprise CTOs.
What kind of AI are we talking about?
Practical AI tools that businesses use today: ChatGPT and Claude for content and analysis, automation tools like Zapier and Make, AI-powered features in your existing software, and vibe coding tools for building apps.
Do I need to give my email?
No. You'll see your full results instantly. We offer an optional email report, but it's completely optional.
How is the score calculated?
We assess 5 key dimensions: strategy, data, people, processes, and governance. Each dimension is scored based on your answers and combined into an overall readiness percentage.
What should I do with my results?
Focus on your lowest-scoring dimension first — that's your biggest bottleneck. We'll give you specific next steps for each area.
What Is AI Readiness and Why Does It Matter?
AI readiness describes how well-positioned your business is to adopt, implement, and benefit from artificial intelligence tools. It's not about being a tech company — it's about having the right foundations in place. Research consistently shows that most AI projects fail not because of the technology, but because of the organisation — poor data, unclear goals, resistant teams, or no governance framework.
For small and medium businesses (SMEs), AI readiness matters more than ever. AI tools are now accessible to businesses of every size — ChatGPT, Claude, Zapier, and Make can transform how you work without requiring technical expertise. But adopting AI without the right foundations leads to wasted time, frustrated teams, and results that disappoint. Our AI readiness assessment helps you understand where you stand across the five dimensions that predict AI success.
Why AI Projects Fail — And How to Avoid It
Studies suggest 80-95% of enterprise AI projects fail to deliver their expected value. The causes are almost never technological — they're organisational. The most common failure modes are:
- No clear use case: Starting with “we need to do AI” rather than “we need to solve X problem”
- Poor data quality: AI tools produce unreliable outputs when fed disorganised or incomplete data
- Team resistance: Employees who fear AI will replace them tend to ignore or undermine it
- No governance: Without guidelines, teams either avoid AI entirely or use it unsafely with sensitive data
- Lack of ownership: When no one is responsible for AI adoption, nothing changes
The 5 Dimensions of AI Readiness
Our assessment evaluates your business across five dimensions that research shows predict AI adoption success:
1. Strategy & Goals
Do you know where AI could help your business? Is someone driving AI adoption internally? Businesses with a clear AI strategy and an internal champion are significantly more likely to succeed. Vague ambitions like "we want to use AI" rarely lead anywhere — specific problems to solve do.
2. Data & Systems
AI tools are only as good as the data you feed them. If your business data lives in scattered spreadsheets, email threads, and people's heads, AI will produce poor results. Connected systems that talk to each other unlock automation possibilities that disconnected tools can never achieve.
3. People & Skills
The #1 predictor of AI adoption success isn't technology — it's culture. A team that embraces learning and is willing to change how they work will outperform a technically sophisticated team that resists change every time. You don't need technical experts; you need curious, adaptable people.
4. Processes & Workflows
You can't automate what you haven't defined. If your key processes exist only as tribal knowledge, AI can't help — because even humans struggle to follow undefined processes consistently. Documenting your workflows is the prerequisite for any meaningful automation.
5. Governance & Trust
Without clear AI guidelines, you face two bad outcomes: employees avoid AI entirely (missed opportunity) or use it unsafely with customer data (real risk). A simple one-page AI policy covering approved tools, data boundaries, and quality checks addresses both.
How to Improve Your AI Readiness
Improving AI readiness doesn't require a big transformation project. Start with the dimension where you score lowest — that's your biggest bottleneck. Typically, the highest-impact first steps are:
- Identify one specific use case: Pick a repetitive task that takes significant time and map out exactly how it works today
- Consolidate your data: Move your most important data into one central system, even a well-organised spreadsheet is a start
- Run a team AI session: Show your team a real AI win in your business — seeing it work shifts mindsets faster than any policy
- Write a one-page AI guide: Cover approved tools, what data can't be shared with AI, and who to ask for help
- Nominate an AI lead: Even giving someone 2 hours a week to explore AI tools creates momentum
AI Readiness for SMEs: What the Research Says
Only around 13% of businesses consider themselves truly AI-ready. Yet 70-80% of business leaders say AI will be critical to their industry within 5 years. This gap between ambition and readiness is the defining business challenge of the 2020s — and it's particularly acute for SMEs who don't have enterprise-scale IT budgets or dedicated data teams.
The good news: SMEs can move faster than large organisations when they get the foundations right. Without legacy systems, complex approval processes, or thousands of employees to retrain, a motivated SME leader can meaningfully improve their AI readiness in 90 days. Take the assessment to find out where to start.
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