AI ethics & governance

Ship AI experiences your users and regulators can trust

Principles, safeguards, and rituals we apply before, during, and after launch.

Responsible AI certified facilitators · Bias, privacy, and safety reviews baked into every sprint · Audit-ready documentation and monitoring

Principles of responsible AI

Our code of practice across every engagement.

Co-created success metrics and escalation paths for humans in the loop.

AI augments people—never replaces context, accountability, or consent.

Version-controlled prompts, evaluation logs, and decision records.

Every critical decision keeps an audit trail with data lineage and model versioning.

Data classification, retention policies, and privacy impact assessments.

We minimize data collection, retain encryption, and honor regional regulations from the start.

Automated guardrails plus manual review rituals aligned to risk levels.

Shipping AI is the beginning—monitor, test, and iterate with clear ownership.

Transparency

How we operate when your data powers AI experiences.

Principle of least privilege for environments, with mandatory rotation and audit logging.

We provide documentation, dashboards, and heatmaps that make model behavior understandable.

Joint runbooks outline owner responsibilities across product, legal, and operations.

Safeguards that move as fast as your roadmap.

1Risk framing
Align on use-case risk tiers, legal requirements, and rollout criteria.
Includes DPIA templates, threat modeling, and stakeholder mapping.
2Evaluation harness
Test outputs with scenario libraries, red team prompts, and bias measurement.
Automated checks with qualitative review for high-impact workflows.
3Launch controls
Gate releases with approvals, rollback plans, and real-time monitoring.
Feature flags, alerting, and shadow mode comparisons.
4Ongoing stewardship
Continuously review telemetry and feedback to refine safeguards.
Monthly ethics reviews and quarterly governance retrospectives.

Key answers for compliance, legal, and operations teams.

Pair experimentation with governance that scales. Let’s audit your AI roadmap together.