Finding the ‘next Max Verstappen’ with data and smart algorithms.
Van Amersfoort Racing
Let AI carry out tasks autonomously
We develop AI agents that carry out tasks autonomously within clear boundaries. Always aligned with your processes.
Trusted by leading organisations
AI agents go a step beyond Generative AI. While a language model provides an answer, an AI agent actually carries out a task.
That takes more than a good model. An agent needs to fit into the process it works in. That’s why we develop AI agents that operate reliably and can act in a controlled way.
What you can expect
01
Autonomy is a means, not an end. An AI agent does not need to do everything independently. The question is not how much autonomy is possible, but how much is responsible. That is why we determine, for each process, which tasks an agent can carry out independently and where human oversight is still needed. The result is a reliable solution that fits the organisation.
02
An AI agent starts with a well-defined process. An AI agent can only succeed when the underlying process is clear. So we first map out responsibilities, decision points and exceptions. Only then do we determine which tasks an agent can take over. This prevents an agent from adding more complexity than it resolves.
03
Responsible operation within clear boundaries. An AI agent must not only work well, but also act responsibly. That is why we account for risks, human oversight and relevant laws and regulations, such as the European AI Act, when designing it. Depending on the application, we determine which requirements apply to transparency, oversight and risk management, among other things. The result is an AI agent that is not only effective, but also fits the organisation’s responsibilities.
Case studies
Curious about what an agent could do for your organisation?
We’d be happy to explore the possibilities with you.
Stef Stoelwinder
Business DevelopmentE-mail info@datasciencelab.nl
Phone +31 (0)20 3636 724
Frequently asked questions
An AI agent carries out tasks independently to achieve a predefined goal. It can retrieve information, make decisions and take action within agreed boundaries.
An AI agent can be useful when recurring tasks take a lot of time or processes involve multiple steps.
Generative AI generates a response. An AI agent also carries out tasks and can handle multiple steps in a process.
No. The degree of autonomy depends on the process, the potential impact of errors and the applicable laws and regulations. The European AI Act takes a risk-based approach and, depending on the application, may impose requirements concerning transparency, risk management and human oversight, among other things. That is why we decide in advance which tasks an agent may carry out independently and where human oversight remains necessary.
An AI agent can only succeed when the process is clearly defined. That is why we first analyse how a process works before developing an agent.
Ready to make your processes smarter and more efficient?
Get in touch. We’d be happy to help you work out the next step.
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