Data Privacy Considerations in AI Implementations

Sending customer data to a third-party AI provider raises the same questions as any other data processor relationship: where is the data stored, how long is it retained, and is it used to train future models.

For sensitive data, techniques like redacting personal information before sending it to an AI model, or using providers that offer contractual guarantees against training on your data, reduce exposure significantly.

We build a data flow diagram for every AI feature we implement, so clients can see exactly what leaves their systems and where it goes.