Operating Discipline

TrustOps: the operating discipline for accountable AI.

TrustOps is the operating discipline/category for accountable AI. CloudSeals applications implement it in real workflows; Evidence Fabric provides the shared evidence layer.

Article 4 AI literacy is a TrustOps use case. It is an operational governance/evidence use case, not a fourth CloudSeals product and not a certification of Article 4 compliance. Explore Article 4 AI literacy →

The TrustOps operating loop

TrustOps organizes accountable AI work into repeatable stages: observe, reason, apply policy, assess risk, approve, execute and retain evidence.

TrustOps operating loop showing observe, reason, policy, risk, human approval, execution and retained evidence.
TrustOps is the operating discipline/category for accountable AI; the surrounding HTML is the canonical definition.

Where TrustOps appears

LedgerSight

Finance operations workflows where AI recommendations remain separate from approved business action.

CompliSight

Industrial safety workflows that support supervision, incident review and evidence retention.

CarbonSight

Carbon MRV workflows that connect source data, calculations, review and reporting evidence.