Data and GDPR in AI projects: the questions that need answers
Data protection in AI projects: purpose, processing environments, third-party training, access, logs, retention and deletion before you build.
Mauricio Zaffari
Writing
Articles on applied AI engineering, systems integration, and operations automation.
Data protection in AI projects: purpose, processing environments, third-party training, access, logs, retention and deletion before you build.
Mauricio Zaffari
Automation is not all or nothing. See the levels of automation, where to place human approval, how to handle exceptions, and how to stop a flow.
Mauricio Zaffari
A generic assistant answers generically because it does not know the process. Here is what changes for B2B service when it gets context.
Mauricio Zaffari
Where automation fits in checking invoices and operational documents: extraction, field validation, and what goes to human review.
Mauricio Zaffari
Telemetry and hours-of-service records already exist; reviewing them by hand does not scale. How to cross sources and build an exception queue.
Mauricio Zaffari
How to connect AI to the systems your company already runs, without replacing the ERP. Integration types, alternatives and what to plan.
Mauricio Zaffari
A demo does not prove the process improves. Here is how to define what an AI pilot must prove before you build.
Mauricio Zaffari
Five verification gates to qualify operational processes for an AI diagnostic, with pass and fail criteria for each.
Mauricio Zaffari