Accountability
Name business, technical, risk and approval owners before production use.
Responsible AI
Governed deployment requires evidence, ownership and human control.
Our approach aligns each workflow with accountable owners, defined risk boundaries, proportionate testing, transparent records and reviewable human decisions.
Impact and risk
Assess affected people, data, decisions, failure modes and non-AI alternatives.
Transparency
Document Agent roles, provider routes, boundaries, limitations and evidence.
Testing and monitoring
Evaluate quality, bias, hallucination, injection, leakage, access and approval bypass.
Human control
Provide proportionate review, pause, override, correction, escalation and rollback.
Managed change
Reassess material changes to workflows, models, tools, data or approval policy.
This page describes an implementation approach, not a claim of certification or universal compliance. Applicable obligations depend on the entity, customer, industry, deployment and data flow.