An AI application depends on changing documents, connected systems and the needs of its users. Ongoing support keeps those dependencies visible and gives your team a clear route when something needs attention.

Operate the agreed service

We define which application components we support, how they are monitored and who handles each type of incident. The service agreement sets the support coverage and response targets appropriate to the project.

Monitoring can cover availability, response time, failed requests and the health of data connections. For knowledge-based applications, it also includes whether the agreed refresh process is working.

Treat updates as changes to a working application

A newer model is not automatically a better choice for your workflows. We evaluate proposed changes against the agreed test set, review operational impact and plan how to return to a previous version when necessary.

We can also refine prompts, retrieval and integrations as recurring issues become clear. New features and larger changes are scoped separately so that maintenance responsibilities remain understandable.

Keep recovery and ownership practical

We document the backup scope and recovery procedure, including the dependencies on your infrastructure team or cloud provider. Hardware warranty, physical repairs and equipment replacement remain with your supplier unless separately arranged by you.

Support can follow our implementation service or begin with a review of an existing application. Contact us to discuss what you are running and the level of support your team needs.

What you receive

A support agreement with defined scope and service levels
An operating and recovery procedure
Regular service reports and a prioritized improvement plan