Clear ownership
Roles and responsibilities are made explicit.
Turn AI regulations into practical rules for the AI systems in your organisation.
Organisations do not always know which AI systems they use, who is responsible or what documentation needs to be available. A pragmatic approach to compliance starts with an inventory, a risk assessment and appropriate measures for each application.
An application only becomes meaningful when it fits a specific task and the information available for it.
The specific legal obligations must always be determined with up-to-date legal expertise. That is why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Roles and responsibilities are made explicit.
Measures are tailored to the application and the potential consequences of errors.
Agreements are linked to the development, procurement and day-to-day use of AI.
We map the applications, data and roles involved.
We assess what controls each application needs.
We turn principles into practical roles and processes.
We integrate the agreed arrangements into development, procurement and use.
We monitor changes in technology, the organisation and regulations.
This service is relevant for organisations that develop, procure or use AI systems. The specific setup depends on the process, the available data and the risks of the application.
We therefore start with a clearly defined application and only expand it once the initial setup works in practice.
This service addresses the following challenge: a pragmatic approach to compliance starts with taking stock, assessing risks and putting appropriate measures in place for each application. Exactly how this works depends on the process and the available data.
The service may be relevant to organisations that develop, procure or use AI systems. A specific need and usable information matter more than the size of the organisation.
That depends on the application. We start with the question the application needs to address, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, conventional automation may be enough. We choose the simplest approach that addresses the challenge effectively and add complexity only when needed.
We define the scope of the application, check the results with users and put appropriate controls in place. After deployment, we monitor how it works and adapt the solution when the data, its use or the context changes.
Want to explore where to start with AI Act compliance? Together, we’ll map out the challenge, the available information and the conditions that need to be met.