Supplier master

You cannot make AI recommendations audit-ready by adding a generic explanation screen after deployment. Explainability for audits depends on model choice, data lineage, version control, approval workflows, and evidence retention. In regulated operations, the goal is not perfect transparency. It is reproducible, reviewable decision support with traceable inputs, outputs, and change history.

KPI ownership in aerospace operations should sit with the accountable process owner, not with IT or the person who builds the dashboard. Ownership must include the metric definition, data sources, review cadence, escalation path, and change control, with clear contributors across operations, quality, planning, engineering, and IT.

Aerospace plants reduce FAIR transcription errors by reusing controlled source data, digitally ballooning characteristics, importing inspection results where practical, and enforcing review, revision, and audit-trail controls. The errors usually cannot be eliminated without strong data governance and validated integrations.

OEMs cannot reliably ensure suppliers use current work instructions by emailing PDFs or relying on acknowledgements alone. They need controlled distribution, revision and effectivity rules, supplier access controls, training evidence, and audit trails tied to the actual part, operation, purchase order, or process step.