Keep track of performance
Monitoring shows whether a solution is still working as intended.
Keep AI solutions running after the first version goes into production.
AI solutions evolve alongside data, models and business processes. Without ongoing management, performance can decline and incidents can go unnoticed. Managed AI covers monitoring, maintenance and continuous improvement of AI solutions after delivery.
The application only becomes meaningful when it fits a specific task and the information available for it.
The specific services are tailored to the importance and risk profile of the application. That is why we decide in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Monitoring shows whether a solution is still working as intended.
Changes to data, models or systems can be assessed in a targeted way.
Agreements define who is responsible and how incidents and improvements are handled.
We determine how critical the solution is to the organisation.
We define responsibilities, indicators and follow-up procedures.
We track relevant performance, data and operational signals.
We organise recovery and assess changes.
We improve the solution based on how it is used and measurable needs.
This service is relevant to organisations with AI solutions in production. The exact 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 when the initial setup works in practice.
This service addresses the following challenge: managed AI covers the monitoring, maintenance and continuous improvement of AI solutions after delivery. How it works in practice depends on the process and the available data.
The service may be relevant to organisations with AI solutions in production. A specific need and usable information matter more than the size of the organisation.
That depends on the chosen application. We start with the question you need 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 it goes live, we monitor how it works and adjust the solution when the data, usage or context changes.
Want to explore where managed AI would be a sensible starting point? Together, we’ll assess the challenge, the available information and the requirements.