What is the DORA AI Capabilities Model?

A research-based set of capabilities that separate teams that get value from AI from teams that do not. It is drawn from a survey of more than 5,000 tech professionals and covers AI policy, data quality, version control, small batches and user focus.

Does the DORA model work for a small company?

Yes. None of the capabilities require a large team. An SME can start with a clear AI policy, one well-kept data source and small, frequent releases, and add the rest as the use of AI grows.

AI Success with the DORA Model for SMEs

Introduction to the DORA AI Capabilities Model

The DORA AI Capabilities Model sets out the factors that most often decide whether an AI initiative delivers. It is based on research among more than 5,000 tech professionals and gives companies, including Dutch SMEs, a practical roadmap for AI projects that actually work.

Why does this matter for Dutch SMEs?

SMEs often struggle to balance innovation against day-to-day operations. The DORA model offers a structured frame that speaks to what matters most to smaller companies: speed, efficiency and a focus on the customer. AI can improve all three, but without the right approach projects stall or fail to deliver what was expected. The model helps you avoid those pitfalls. It does not guarantee success, but it shows where AI projects tend to go wrong.

The capabilities behind successful AI

1. A clear AI stance: An effective AI strategy starts with a clear policy and a shared understanding of AI in the organisation, including how employees feel about it.
2. Healthy data ecosystems: Keep data high-quality, consistent and easy to reach, so AI performs as well as it can.
3. AI-accessible internal data: What your organisation knows can be a competitive advantage. That means putting internal data to work in a smart, controlled way.
4. Strong version control: A reliable version-control system gives you speed without giving up safety.
5. Working in small batches: Small changes raise both the speed and the stability of AI projects.
6. A user-centric focus: Keep end users at the centre of development. It speeds up adoption and makes it more effective.

What this means in practice

Dutch SMEs should build these capabilities into their approach on purpose. Giving priority to a healthy data ecosystem, for example, lays a solid base for every later AI project. A user-centric focus creates feedback loops that let you improve AI systems quickly. If you are not sure where to start, a readiness assessment shows which capabilities you already have and which are missing.

How AI Advies Bureau can help

At AI Advies Bureau we know the challenges Dutch SMEs face. We can help you apply the DORA AI Capabilities Model in your organisation, so you not only get started with AI but do it in a way that lasts and pays off. Get in touch for a no-obligation conversation, or start with the free risk scan.