Deployment is not the finish line.
Software is static, but AI is biological.
It decays.
A demand forecasting model built in 2024 will be giving you wrong answers by 2027 because consumer behavior moves and the data loses its relevance to the real world.
This erosion of accuracy is a quiet killer of ROI.
Executives often treat AI like standard SaaS.
This logic is flawed.
If you do not manage the drift, you are simply subsidizing inefficiency.
Build an AIOps layer.
Audit subscription sprawl to catch Shadow AI before it hits your P&L.
Assign a specific person to the task of continuous model retraining.
Who is responsible when your AI starts hallucinating to your customers?
#AIOps #EnterpriseAI #Governance #DigitalTransformation