How often should organizations perform internal FAI audits or self-checks?

There is no universal fixed interval for internal FAI audits or self-checks. In regulated aerospace and similar environments, the cadence is usually risk-based: check high-risk or customer-facing FAIR packages before submission, sample completed FAIRs on a defined periodic schedule, and trigger additional reviews after design, process, supplier, tooling, location, system, or requirement changes. An annual audit alone is often too weak if FAI volume is high, data is manually transferred, or customer escapes have occurred.

Common practice

Organizations typically separate two activities:

• FAI package self-checks: performed before a FAIR is submitted, accepted internally, or sent to a customer portal. These are usually detailed record checks against the drawing, ballooned characteristics, purchase order, specifications, inspection results, certifications, and required approvals.
• Internal FAI process audits: performed periodically to verify that the FAI process itself is being followed, controlled, and evidenced across parts, programs, suppliers, and systems.

For critical parts, new programs, first customer submissions, or suppliers with weak performance, many organizations review every FAIR package before release. For stable, mature work, they may use sampling, but the sampling plan should be documented and justified by risk, history, customer requirements, and QMS expectations.

Typical triggers for additional checks

Internal FAI review frequency should increase when there is a material change or a known weakness. Common triggers include:

• new part numbers, new configurations, or first production runs;
• drawing, model, specification, or bill-of-material revision changes;
• changes to manufacturing source, supplier, process, tooling, equipment, inspection method, or production location;
• production restart after a defined lapse, especially where customer or internal rules require renewed FAI activity;
• nonconformances, customer rejections, repeated FAIR corrections, or audit findings;
• migration to new MES, ERP, PLM, QMS, inspection, or FAI software workflows;
• changes in customer flow-downs, contract requirements, or AS9102 interpretation within the organization.

What determines the right cadence

The right frequency depends on part criticality, production volume, inspection complexity, supplier maturity, customer requirements, and the quality of system integration. A plant with manual spreadsheet-based FAIRs and disconnected ERP, PLM, MES, and QMS records usually needs more frequent checks than a plant with controlled revisions, validated workflows, strong audit trails, and disciplined change control.

Brownfield environments need particular care. FAIR errors often come from mismatches between PLM revisions, ERP routings, MES travelers, inspection plans, QMS deviations, and customer portal data. If those systems are not well synchronized, a periodic audit should not be treated as the main control. Pre-submission checks and event-based reviews are usually still needed.

What internal checks should look for

A useful FAI self-check is not just a form completeness review. It should verify that the FAIR is traceable to the correct drawing revision, model, specifications, purchase order, characteristic ballooning, inspection evidence, material and special process certifications, nonconformance dispositions, and approval records. It should also confirm that any partial or delta FAI logic is documented and defensible.

Common failure modes include wrong revision use, missing characteristics, unlinked inspection evidence, uncontrolled manual edits, stale templates, incomplete supplier certifications, unclear accountability between quality and manufacturing engineering, and approvals performed outside the controlled system of record.

Practical rule

A practical approach is to define a baseline periodic audit, then add mandatory pre-release checks and change-triggered reviews for higher-risk situations. The cadence should be documented in the QMS, aligned with customer and program requirements, and adjusted when findings show the current control is not working. Internal FAI audits can improve readiness and reduce preventable rework, but they do not guarantee customer acceptance, audit outcomes, or regulatory conclusions.