Keep track of performance
Monitoring shows whether a solution is still working as intended.
AI monitoring
Keep track of how AI solutions perform once they become part of your workflow.
After deployment, data, usage and model behaviour can change. Without monitoring, it’s unclear whether the application still does what it was built to do. AI monitoring tracks an application’s performance, usage and relevant risk indicators.
From a standalone possibility to a practical application
An application only becomes meaningful when it fits a specific task and the information available for it.
The indicators you need depend on the use case and the potential consequences of errors. 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.
What it delivers
Address changes promptly
Changes to data, models or systems can be assessed in a targeted way.
Clear management
Agreements define who is responsible and how incidents and improvements are handled.
Our approach
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Assess importance and risk
We establish how critical the solution is to the organisation.
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Define management arrangements
We set out responsibilities, indicators and follow-up actions.
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Set up monitoring
We track relevant performance, data and operational signals.
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Handle incidents and changes
We organise recovery and assess changes.
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Make targeted improvements
We improve the solution based on how it is used and measurable needs.
Suited to your organisation
This service is relevant to organisations with AI applications in production. The exact setup depends on the process, the data available and the risks associated with the application.
We therefore start with a clearly defined application and only expand when the initial setup works in practice.
Other solutions
One data platform for fragmented sourcesBring data from separate systems together in one place, where everyone sees the same figures.
Dashboard for day-to-day operationsSee how things stand on one screen, without having to build reports first.
Predicting when maintenance is neededPlan maintenance based on what the data says, not on a fixed schedule.
Frequently asked questions
This service addresses the following question: how can you track an AI application's performance, use and relevant risk indicators? The exact approach depends on the process and the available data.
The service can be relevant to organisations with AI applications in production. A specific need and usable information matter more than the size of the organisation.
That depends on the 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 question effectively and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. After deployment, we monitor how it works and adjust the solution when the data, its use or the context changes.
Discover what AI monitoring could mean for your organisation
Want to explore where it makes sense to start with AI monitoring? Together, we assess the challenge, the available information and the requirements.