Models, vendors, regulation and processes keep moving. We run your productive AI applications, keep developing them and build internal capability.
Today
A productive AI application is not a finished project. Models get replaced, vendors change terms, processes shift and new regulatory requirements arrive. Without someone watching and adjusting, a well-built solution quietly loses value within months.
Afterwards
Monitoring, maintenance, incident handling and technical adjustments to the productive applications
Optimising existing use cases and adapting to new models, vendors, data and processes
Training, office hours and the build-up of an AI competence centre with clear ownership
We take on monitoring, maintenance and operational ownership for the productive applications and agree what we report on and how.
At fixed intervals we review usage, quality, cost and value, and derive concrete improvements from it.
We adapt applications to new models, vendors, data and processes and implement prioritised improvements.
Through training, office hours and clear ownership, the internal ability to steer AI keeps growing.
Not sure whether this offer fits? Let's talk for 20 minutes.
Work does not stop at go-live. This is where a running application becomes a capability your company can steer itself.
01
Find and prioritise use cases
02
Build the first use case for production
03
Run, measure and improve
Scope and price range are currently being standardised based on the first repeatable operations and enablement packages. Rather than quote an unconfirmed number, we scope it against your actual applications.
No. If you can cover operations and further development internally, that is the better route. AI Ops is for companies that do not want to build that capacity permanently, or are still building it.
The opposite is the goal. Building an internal AI competence centre is a core part of it. We document decisions so you can keep running the solutions without us.
In principle yes. First we review architecture, data flows and documentation and tell you openly whether we can take operational ownership, or what would need fixing first.
In 20 minutes on the phone we discuss what runs in production today, who looks after it internally and which operating and enablement setup fits.
