Responsible AI

• Human oversight: AI augments expert decision-making; it does not replace accountability.
• Transparency: we are explicit about model capabilities, limits and failure modes.
• Data integrity: models are only as good as their ground truth, so we verify it.
• Privacy by design: client data is isolated, and never used to train third-party models without consent.
• Fairness & safety: we test for bias, misuse and harmful outputs before deployment.

Every AI engagement includes a readiness and risk assessment covering data maturity, infrastructure, compliance and ethical considerations, so deployments are responsible from day one.

We treat security and compliance as foundations, not afterthoughts, applying least-privilege access, audited pipelines and decoupled architectures that protect core systems.

Questions about this document can be sent to hello@zettamine.com and we will respond promptly.