ONGOING AI SUPPORT
Keep an AI solution useful as the business changes.
Deployment is not always the end of an AI project. Data changes, business priorities evolve and model performance may need to be reviewed over time.
Support can include
Performance review
Check whether the model is still performing as expected and whether the original success criteria still make sense.
Data & model updates
Review new data, retrain or adjust the model when the use case requires it, and investigate meaningful performance changes.
Business adaptation
Revisit the workflow or output when priorities, users or operating conditions change.
The right level of support depends on the solution. I do not recommend a maintenance package by default; support should match the actual technical and business need.
Support starts with a working use case.
If you are still deciding what to build, start with the AI Opportunity Diagnostic. If you already have a defined project, explore AI Solutions.
