An approach that suits SMEs

AI offers tremendous opportunities for organizations of all sizes. But the path to it varies by company. In SMEs, the IT environment is often less complex than in larger organizations, giving room for a pragmatic, focused approach. At the same time, the impact of AI on daily work is at least as great - perhaps even greater, as changes are immediately felt on the shop floor.

What do we mean by "SMEs?

With SME we mean companies with typically between 10 and 250 employees. Think of manufacturing companies, business service providers, healthcare organizations, logistics parties or local software companies. What connects them is an agile culture, short lines of communication and often a strong commitment to the work itself. AI applications have a direct impact in this context - precisely because there are fewer layers between decision and execution.

That is why we have developed an approach especially for SMEs that is clear, applicable and above all effective. No thick reports or long strategy processes, but working together with recognizable applications that really make a difference. From first introduction to working AI in practice: we help you step by step, in a way that suits your organization.

Wondering how we go about it? Check out our roadmap below

Let's get acquainted

We start with a good conversation. What are the ambitions within your organization? Where are teams getting stuck? And how could AI help make work smarter, simpler or more meaningful?

This step revolves around understanding your context, work culture and goals. Not a thick report, but a clear start based on mutual understanding.

Plan een kennismakingSTEP 1

Working out the best use cases

Together we identify recognizable moments in which AI can provide support. Think of recurring operations, retrieving information, creating reports or processing customer questions.

We deliberately choose concrete, defined situations where AI makes an immediate and visible difference - start small, learn big.

STEP 2

Creating a compact AI roadmap

Based on the chosen use cases, we create a clear roadmap. This shows what we pick up first, which roles and systems are involved, and how we measure results.

The AI roadmap helps keep a grip: we bring focus, work iteratively and make smart choices for deployment and scale-up.

STEP 3

Putting the foundation in order

Before we deploy AI, we make sure the basics are right. That means: access to the right data, links to the systems in which people work, and clear agreements about responsibilities.

This prevents surprises and ensures that AI runs smoothly with the existing process.

STEP 4

Putting AI to work

We set up AI around the chosen tasks or processes. We often do this through Augmentic_OS - our platform for secure, scalable deployment of AI in work.

But if you already have your own solution that is satisfactory, we'll connect to it. The point is that AI is directly usable, without noise or friction.

STEP 5

Employee onboarding

AI only works really well if people want to and can work with it. We therefore provide smart onboarding: with explanations, examples and direct applications that connect to real-world situations.

This is how we build trust, make it approachable, and ensure that AI really adds something to the workday from the start.

STEP 6

Getting to work & further optimization

AI runs with the work process. We evaluate the impact, improve where necessary and together look at how to further optimize or expand.

That way, AI will not remain something one-off, but a smart colleague that grows with your organization.

STEP 7