Success can be defined by measurable outcomes, like hitting a revenue target or achieving a specific percentage in cost savings.
Calculate the financial impact of the AI solution versus the cost of its implementation, including development, deployment, and maintenance.
For predictive models: Evaluate precision, recall, and F1 scores. For automation tools: Measure error rates and efficiency gains.
Use surveys or interviews to gauge satisfaction and identify areas where the AI might need adjustments to better meet user needs.
Evaluate its ability to adapt to new tasks or integrate with other systems as business needs evolve.