How Does InferTrust™ Support ISO 9001 Compliance for AI Quality Decisions?

ISO 9001 quality management requires documented procedures for all decisions. InferTrust™ creates cryptographically verified records of AI quality control decis

ISO 9001 Requires Documented Evidence of Quality Decisions

ISO 9001 quality management systems require organizations to maintain documented evidence of process controls, inspection results, and corrective actions. As manufacturers deploy AI for automated visual inspection, dimensional analysis, and quality prediction, these AI-assisted decisions must be documented with the same rigor as human quality decisions.

What InferTrust™ Captures for Quality AI

For each AI-assisted quality decision, InferTrust™ records the inspection model version and configuration, the input data characteristics (without storing raw production data), the quality determination (APPROVE_RELEASE, HOLD_FOR_INSPECTION, REJECT, or PROCESS_ADJUST), the tolerance thresholds and quality policy active at the time, and the complete downstream action chain including human review overrides.

Certification Audit Readiness

During ISO 9001 certification or surveillance audits, registrars evaluate whether the organization's quality management system produces adequate documented evidence. InferTrust™ Industrial transforms AI quality decisions from opaque algorithmic outputs into verifiable, auditable records. Auditors can confirm that a specific model version was active, that configured quality thresholds were applied, and that the decision followed the documented quality procedure.

Nonconformance Investigation

When a nonconforming product reaches a customer, the root cause investigation must reconstruct the quality decision chain. InferTrust™'s records enable investigators to verify exactly what the AI quality system decided, whether the thresholds were correctly configured, and whether human reviewers acted on the AI output appropriately. This verifiable reconstruction accelerates root cause analysis and strengthens corrective action effectiveness.