Use case · Defect resolution from days to hours
Resolve defects in hours, not days.
Inspections, defects, CAPA, NCR/MRB, SPC, and supplier quality run on one data model instead of six disconnected tools. Continuous statistical process control catches drift before the lot is built, and AI root-cause matching opens every investigation from documented precedent - so the same defect is never investigated from scratch and resolution drops from days to hours.
The challenge
- !Inspections, NCRs, CAPAs, and SPC live in separate tools, so the same defect is investigated from scratch every time
- !Statistical process control runs on offline spreadsheets that catch drift only after the lot is already built and scrapped
- !Supplier risk is judged on gut feel and stale quarterly scorecards instead of live quality and delivery signals
- !AS9100, IATF 16949, and ISO 9001 evidence is reconstructed in a scramble at audit time rather than captured as you work
- !Cost of quality is invisible - scrap and rework never connect to a number leadership can see
How Cortrova answers
- ✓AI root-cause matching searches your closed historical cases the moment a defect or NCR opens, returning the most similar prior failures with a confidence score - so every investigation starts from precedent, not a blank page
- ✓Continuous SPC watches every control chart, flagging 1-sigma drift as an early warning and raising a 3-sigma out-of-control alert in real time with a one-minute refresh, so a process trending bad is caught while the operator can still react
- ✓Closed-loop CAPA moves a finding from identify to root cause to corrective and preventive action and then verifies the fix actually held, so problems are prevented instead of just patched
- ✓NCR and MRB dispositioning handles use-as-is, rework, repair, and scrap-and-return with full traceability from the failing part back to the work order, lot, and supplier
- ✓AI supplier risk scoring blends quality degradation, open SCARs, NCR rate, audit status, and delivery gap into one composite score that auto-escalates when a supplier crosses threshold
- ✓Inspection, CAPA, NCR, and audit evidence is captured as you work and posted as cost of quality in Finance, so the audit trail and the dollar impact both exist without extra effort
The outcome
One finding, one data model, one resolution.
Quality management fails when each finding is re-entered as it moves from the floor to disposition to prevention. Cortrova runs inspections, defects, CAPA, NCR/MRB, SPC, supplier quality, calibration, document control, and customer complaints as nine connected workflows on a single record - so a defect caught at inspection carries its history all the way through to a verified corrective action.
Caught earlier
Continuous SPC flags 1-sigma drift before it becomes a 3-sigma out-of-control event, so the process is corrected before a bad lot is built rather than after it is scrapped.
Resolved faster
AI root-cause matching returns the most similar closed cases with confidence scoring, so investigators start from the cause, containment, and corrective action that worked last time.
Prevented for good
Closed-loop CAPA verifies the fix held, and the finding feeds FMEA and document control so the same escape does not return on the next run.
The intelligence
Four AI engines behind every finding.
Root-cause matching
Powered by Trunnion AI, it searches your closed historical cases and returns the most similar prior failures with confidence scoring, so investigations start from precedent instead of a blank page.
SPC Engine
Watches every control chart continuously, flagging 1-sigma drift before it becomes a 3-sigma out-of-control event, with the dashboard refreshed every minute.
Supplier Risk Engine
Composite scoring across quality degradation, open SCARs, NCR rate, audit status, and delivery gap, with auto-escalation when a supplier crosses threshold.
Convergence Engine
Shares quality signals across Production, Finance, and Safety so a defect pattern is visible everywhere it matters, not trapped inside the QMS.
How it works
Adopting quality management.
Capture the finding
An inspection failure, NCR, customer complaint, or out-of-control SPC alert opens a single quality record with the part, lot, work order, and supplier already attached.
Find the cause
AI root-cause matching surfaces the most similar closed cases with confidence scoring, so the investigation starts from documented precedent instead of a blank page.
Contain and disposition
The defect is contained and routed through NCR and MRB for use-as-is, rework, repair, or scrap-and-return, with full traceability and cost of quality posted to Finance.
Correct, prevent, and verify
Closed-loop CAPA drives the corrective and preventive action, updates FMEA and controlled documents, and verifies the fix held before the record is closed.
FAQ
Questions, answered.
How does Cortrova cut defect resolution from days to hours?
Most of the time lost on a defect is spent re-discovering a cause the plant has already seen. When a new defect or NCR opens, Cortrova's AI root-cause matching searches your closed historical cases and returns the most similar prior failures, each ranked with a confidence score - so investigators start from the real cause, containment, and corrective action that worked last time. Because inspections, CAPA, NCR, and SPC share one record, nothing is re-entered, and resolution drops from days to hours.
How is this different from running SPC in a spreadsheet?
A spreadsheet tells you a process went out of control after the lot is closed and the parts are already built. Cortrova's SPC Engine monitors every control chart continuously, flags 1-sigma drift as an early warning, and raises a 3-sigma out-of-control alert in real time with a one-minute refresh - so the operator can correct the process before scrap is created instead of explaining it afterward.
Does quality management connect to production and finance?
Yes. SPC and inspection results gate work orders in Production, so an out-of-control process or a failed final check stops the build before more bad parts are made. Scrap, rework, and NCR dispositions post real cost of quality in Finance, turning every defect into a number leadership can see and a supplier chargeback that is defensible.
Which quality standards does this support?
Quality management is built around AS9100 Rev D, IATF 16949, and ISO 9001:2015, with First Article Inspection to AS9102 and PPAP/FMEA document control for automotive. For regulated industries it supports FDA 21 CFR Part 11 electronic-record and signature requirements. Evidence is captured as you work, so it is ready at audit time rather than reconstructed.
How does supplier quality fit into this?
Incoming defects, SCARs, and NCRs feed the Supplier Risk Engine, which computes a composite score across quality degradation, open SCARs, NCR rate, audit status, and delivery gap. When a supplier crosses the escalation threshold the system flags it automatically, so quality engineering acts on a live signal and feeds the approved supplier list instead of waiting for a quarterly scorecard.
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