Most teams think they are two stages further along in AI than they really are

Most leadership teams have seen tools like Claude, Codex, or Copilot turn a week’s work into just an afternoon. Results like these are possible for many businesses, but the fastest way to get there is to know exactly where you are starting from.

Few businesses have actually measured their starting point. Most plan based on a gut feeling, which is often about two stages ahead of where they really are. We call this the adoption gap—the difference between where a business thinks it is and where it actually stands.

The good news is that once you see the gap, it’s easy to close. A clear benchmark turns AI from an exciting idea into something your business can plan for, fund, and deliver with confidence.

What is AI maturity?

AI maturity shows how prepared your business is to use artificial intelligence to create real value, not just experiment. It depends on four things: how good and accessible your data is, how clear your processes are, how ready your team is to use new tools, and how well your current software supports automation.

When these foundations are solid, a business can start using advanced AI quickly. But if your data is scattered in spreadsheets, emails, or personal notes, even the best AI tool won’t help much. Maturity is about having the right foundation, not just the tool you use.

Where does your business sit on the ladder?

Most businesses go through five stages. Read through them and choose the one that best matches where your business is right now.

• Curious: leadership is interested, reading about AI and watching demos, but no one uses tools daily.
• Experimenting: a few people use AI tools on their own, with no shared approach or guidelines.
• Adopting: specific tools are part of real workflows for at least one team, with some training in place
• Scaling: AI runs across several teams and connects to your core systems and data
• Governed: AI use is measured, secure, and managed, with clear policies and owners

Now ask yourself another question: would most of your team choose the same stage? Usually, their answer is a step or two lower, and that’s the better place to plan from. Knowing your real stage isn’t a setback—it helps you take the right next step.

What you gain when you start from the right stage

When you invest at the stage you’re really at, you see results faster. The tools fit your current data and processes, so they work well straight away, and your team sees early wins.

Each early win builds confidence. When staff see AI saving them time on real tasks, they become champions for the next project. You spend your budget once, on the right things in the right order, and each stage sets up the next. Instead of one big gamble, you make steady progress that pays off along the way.

Why a generic AI course is not always the answer

Many businesses begin by sending staff to general AI training or using a vendor’s online maturity checklist. These can be helpful and spark good ideas, but they’re made for a broad audience, not tailored to your business.

A generic course won’t tell you whether your CRM data needs cleaning before automation works, or whether your team’s best opportunity is to document a key process.

What an AI discovery session looks like in practice

Combinate’s AI discovery session is a paid, fixed-fee service—not a sales pitch disguised as a workshop. We assess your business using the five-stage maturity model and look at:

• Your data: where it lives, how clean it is, and how easy it is to use
• Your processes: how well documented and consistent your workflows are
• Your team: readiness, current skills, and appetite for change
• Your tools: what you already have and where the gaps are

You leave with three things your leadership team can act on straight away:

• A maturity score that shows exactly which stage your business is at today
• A plain-English AI briefing that explains what the current tools can and cannot do, without the jargon
• A prioritised opportunity register that ranks specific opportunities for your business by value and ease, so you know what to tackle first.

It’s evidence-based, not just optimistic, and gives every AI conversation in your business a common starting point.

Is a discovery session right for your business?

A discovery session is a good choice if your leadership team has talked about AI for months without a clear plan, or if you’ve tried an AI tool and want to know why it didn’t meet your expectations. It’s also right for businesses that want to invest in AI with a clear reason for every dollar spent.

It’s less helpful if you already have well-documented data and processes and know which opportunities you want to go after. In that case, you’re ready to start building, and we can help with that too.

Key takeaways

• In our experience, most teams rank their AI maturity about two stages higher than it really is
• AI maturity depends on your data, processes, team, and existing tools, not on which AI product you buy.
• The five-stage ladder (Curious, Experimenting, Adopting, Scaling, Governed) gives you a simple way to see where you stand.
• Starting from your true stage means tools that work, early wins, and budget spent once
• A discovery session gives leadership a maturity score, a plain-English AI briefing, and a prioritised opportunity register.

Combinate's AI discovery session looks at your business specifically, shows you which stage of AI maturity you are really at, and gives you a clear, ranked plan for what to tackle first instead of a generic checklist.

Ready to find your true stage?

Book a discovery session with our team today.