AI Quality Issue Knowledge Base Agent

How Cassidy automates—header using AI

Step 1: Trigger on new nonconformance or quality event

The Workflow activates automatically when an NCR, customer complaint, audit finding, or SPC alert enters your QMS, MES, or connected system—capturing 5W2H details, part/lot data, photos, and measurement records.

Step 2: Search the Knowledge Base for similar issues

Cassidy searches your unified Knowledge Base of historical 8Ds, SCARs, CAPA records, and lessons learned to surface analogous defects, verified root causes, and proven corrective actions from across plants and suppliers.

Step 3: Generate RCA scaffolds and suggest likely causes

Using patterns from past cases combined with current SPC data and 6M categorization, Cassidy drafts 5 Whys analysis, populates fishbone diagrams, and ranks probable root and escape causes with linked evidence.

Step 4: Recommend corrective and preventive actions

Based on similar resolved issues, Cassidy suggests specific actions—poka-yoke implementations, torque spec changes, incoming inspection plans, training updates—and proposes PFMEA/Control Plan revisions.

Step 5: Draft 8D/CAPA documentation and route for approval

Cassidy auto-generates 8D reports, CAPA plans, and supplier SCARs with pre-populated fields, then routes documents through approval workflows with Human-in-the-Loop checkpoints and e-signature capture.

Step 6: Track VOE and propagate lessons learned

The Workflow monitors verification of effectiveness windows, compares pre/post metrics (PPM, FPY, Cp/Cpk), flags ineffective CAPAs for re-investigation, and indexes closed cases for cross-site retrieval and supplier quality improvement.