Quality and non-conformance management with AI-assisted root cause

Every manufacturer has a quality system on paper. Many still run parts of it in spreadsheets and email: non-conformance reports typed up after the shift, CAPA actions tracked in a workbook, supplier issues buried in threads, audit evidence gathered before each certification visit.

The consequence isn't just inefficiency. When quality data is fragmented, recurring problems stay invisible until a customer finds them.

What the application does

The quality management family in the Atlas connects the core quality workflows:

• Non-conformance reporting: captured at the point of detection, on the shop floor or at incoming inspection, with photos, measurements and lot or batch references.
• Containment: holds on affected lots, quarantined stock and notifications to downstream processes.
• Disposition: use-as-is, rework, scrap or return to supplier, approved by the right roles.
• Root cause and CAPA: structured analysis (5 Whys, fishbone), corrective and preventive actions with owners, dates and effectiveness checks.
• Inspections: plans, checklists and results tied to parts, processes and suppliers.
• Traceability: links between lots, materials, equipment, operators and non-conformances.
• Audit readiness: evidence of control operation for ISO and customer audits.

Where AI helps

• Classification: suggest the defect code, affected process and severity from free-text reports and photos.
• Similar-issue retrieval: “has this happened before?” answered with links to past non-conformances and their root causes.
• Root-cause support: propose candidate causes from correlated data (the same machine, shift, supplier lot or tooling) for engineers to test.
• Document intelligence: extract data from supplier certificates and inspection reports.
• Summaries: quality review packs drafted from the record.

A quality engineer decides the root cause and the disposition. The AI shortens the search, not the judgement.

Controls designed in

• Mandatory containment steps before disposition
• Role-based approval for use-as-is decisions
• Effectiveness verification before a CAPA can close
• Full lot-level traceability and an audit trail

Integrations

MES and SCADA or historians for process data, ERP for materials and lots, LIMS for lab results, PLM for specifications, supplier portals, and the identity provider for shop-floor access.

Who uses it

Quality engineers and inspectors, production supervisors, supplier quality teams, plant managers, and auditors.

First scope

One product line or plant, with non-conformance reporting and CAPA moved into the application. Measure time to containment, recurrence rate and CAPA on-time closure. Scope it in a Solution Definition Sprint.

See industrial and manufacturing, explore the Atlas, or bring us your NCR backlog.