AI Scorecard Results Explained: What Your Score Actually Means
Taken the AI Scorecard? Here is a detailed breakdown of what your score means, what each tier looks like in practice, and what to do next based on your results.
Understanding Your AI Scorecard Results
If you've taken our free AI Scorecard, you now have a score, a tier, category breakdowns, and personalised recommendations. But what does it all actually mean? This guide breaks it down so you know exactly where you stand and what to do next.
The Three Tiers
AI Beginner (0 to 40%)
If you scored in this range, you're at the very start of your AI journey, and that's completely fine. Most businesses are. The important thing is that you've taken the first step by assessing where you are.
What this looks like in practice:
- Most tasks are done manually
- Little or no AI tools in use
- Data is scattered or not tracked
- Team hasn't had AI training
- No clear AI strategy or ownership
What to do next: Focus on the fundamentals. Get a CRM set up, document your most repeated processes, and pick one simple AI tool (like ChatGPT for content drafting) to start building familiarity. Consider a conversation with an AI consultant to create a prioritised roadmap.
AI Improver (41 to 70%)
You're using some AI and have taken initial steps, but there are significant opportunities you're not capitalising on. This is the most common tier and often the most exciting, because the gap between where you are and where you could be is where the real gains live.
What this looks like in practice:
- Some AI tools in use, but not consistently
- Partial automation of workflows
- CRM exists but isn't maximised
- Team is open to AI but lacks structured training
- Goals exist but aren't tied to AI strategy
What to do next: Look at your category breakdown and find your weakest area. That's where you'll get the biggest return on effort. If it's data, clean and connect your systems. If it's team skills, invest in a workshop. If it's processes, document and automate. Our AI automation service is built for businesses at this stage.
AI Leader (71 to 100%)
You're ahead of the curve. AI is embedded in your operations, your team is engaged, and you have clear goals. The question now isn't whether to use AI, but how to scale what's working and explore more advanced applications.
What this looks like in practice:
- AI tools used daily across the team
- Most processes documented and automated
- Clean, connected data and integrated systems
- Dedicated AI ownership and ongoing training
- Clear budget and timeline for AI initiatives
What to do next: Explore agentic AI, which are autonomous AI systems that handle complex, multi-step tasks. You might also benefit from advanced analytics, predictive modelling, or custom AI solutions built around your specific workflows.
Understanding Your Category Scores
Your overall score is useful, but the category breakdown is where the real insight lives. Each of the five categories tells you something specific:
- Current AI Usage: How actively and effectively you're using AI tools today
- Processes & Operations: How well-documented and automated your workflows are
- Data & Systems: How clean, connected, and reliable your business data is
- Team & Skills: How comfortable and capable your team is with AI
- Growth Goals & AI Ambition: How clear and funded your AI strategy is
Focus on your lowest-scoring category first. Improving your weakest link will have a disproportionate impact on your overall AI capability.
What Next?
If you haven't taken the scorecard yet, take it now. It's free and takes 3 minutes.
If you've got your results and want expert help turning them into action, book a free AI strategy call. We'll review your scorecard, discuss your biggest opportunities, and give you a practical plan.