Privacy & responsible operations

AI systems should earn trust through clear boundaries.

Laveriq designs operations workflows around the minimum data needed for the agreed use case. We focus on practical controls, documented scope and human review for important decisions.

Our operating principles

• Connect only the data sources required for the approved workflow.
• Keep actions that can materially affect customers, money or reputation behind human approval.
• Use access controls, audit-friendly logs and clear ownership where the deployment supports them.
• Review integrations and handling practices before expanding a pilot.

Clear boundaries before work begins

Before a pilot begins, the workflow scope should be clear: which data categories are relevant, who needs access, which outputs are reviewed and which actions require approval.

Laveriq is designed to support operating decisions, not to remove accountability from the people who own them. Meaningful actions should remain reviewable by the team responsible for customers, money and reputation.

The exact controls and handling practices depend on the agreed workflow and deployment. Those details should be confirmed before connecting additional systems or expanding a pilot.

Questions about your data?

Before a pilot begins, we can discuss the relevant systems, data categories, retention expectations and approval boundaries for your situation.

Privacy-friendly measurement

Laveriq uses first-party, cookieless measurement to count a small set of website actions in daily aggregate. It does not store names, email addresses, form content, raw IP addresses, advertising identifiers or cross-site profiles. Aggregate event counts are retained for up to 90 days.