What does it mean to use AI in a business?
"We already use AI" is one of the most overused statements in business right now. In practice, it can mean anything from occasional use of ChatGPT to autonomous AI systems. That is why every AI journey should start by clarifying what AI actually means in your organisation.
What AI means in practice
A short introduction to how companies can build shared AI understanding and make better decisions.
Angle
Many organisations say "we use AI". Far fewer can explain what that means in operational terms.
Key points
- •Define AI in your own business context.
- •Align leadership and teams around a common language.
- •Connect AI priorities to strategy, processes, and capabilities.
Use this video as a starting point for your internal leadership discussion on AI direction.
Actus Innovation
Know your current position before choosing your next move
Most companies operate in several AI maturity states at the same time. Some teams use AI as a personal productivity tool, while others experiment with workflows, agents, or product-facing use cases.
What matters is not whether you are "ahead" or "behind". What matters is having a shared picture of where you are now.
AI can play multiple roles in the same organisation
When discussing AI internally, it helps to separate the different roles AI can play in your business model and operating model.
- •A personal productivity tool for individual employees.
- •A shared method for solving recurring tasks across teams.
- •Specialised AI agents supporting specific processes.
- •An integrated element of products and customer experiences.
- •An operational layer in day-to-day execution.
- •A foundation for new business models and services.
AI is not only a technology topic
AI changes people, processes, capabilities, and business development. It should never be treated as an isolated technology track.
A strong starting point is aligning on what AI is, what AI is not, which opportunities it creates, which risks it introduces, and how it supports your strategy.
Frequently asked questions
Why is "we already use AI" often too vague?
Because it can describe anything from occasional chatbot usage to deeply integrated AI systems. Without a shared definition, prioritisation and governance become difficult.
Can one company be in multiple AI maturity states at once?
Yes. Teams and processes mature at different speeds. The key is maintaining a shared cross-organisational overview.
What is a strong first step?
Start with a shared baseline of current AI usage, desired future usage, and key risks. That creates a practical foundation for next decisions.
Book a no-obligation meeting and get a shared view of your current AI maturity and the most natural next step.
Book a no-obligation meeting