Zero-defect quality assurance:
Domain-driven intelligence with
Human-in-the-loop governance
in Aerospace
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60-70%
of aerospace non-conformances originate in the supply chain, at tier 2 and tier 3
98%
data quality scores achieved before data enters the EIP intelligence layer
7
purpose-built layers in the Engineering intelligence platform
36 month
three-phase target operating model from foundation to zero-defect assurance
Reactive defect management has reached its limit
PLM, ERP, QMS and MES systems were never designed to talk to one another. The result is a quality discipline that detects problems after the fact. Agentic AI, domain-trained SLMs and a unified data layer change the economics.
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Current state
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Reactive, siloed, manual, after-the-fact
- Defects detected once they have already occurred
- Root cause analysis bottlenecked by disconnected systems
- Supplier quality managed periodically and backward-looking
- Cost of poor quality erodes margin and engineering capacity
Target state
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Predictive, unified, autonomous, first-time-right
- Non-conformances triaged and dispositioned autonomously
- Root cause surfaced from a unified engineering knowledge graph
- Supplier risk stratified and predicted in real time
- Human-in-the-loop governance keeps decisions audit-ready
What this Report Unpacks ?
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Why reactive quality no longer works in aerospace
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How data silos across PLM, ERP & QMS stall AI
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Why supplier quality is the biggest hidden risk
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Where agentic AI transforms NC, MRB, CAPA & RCA
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How domain-trained SLMs make AI quality-ready
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Why human-in-the-loop governance is non-negotiable
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Why choose Cyient?
- Aerospace quality DNA — 30+ years of domain depth
- Workflow-trained AI — validated on real NC, MRB, concession, PFMEA, and CAPA processes
- Practitioner-built models — shaped by experts who have run quality workflows at scale
- Trust by design — governed, auditable, and human-in-the-loop for safety-critical operations
- Outcome-backed engagement — aligned to COPQ reduction and first-pass yield gains
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2,500 +
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aerospace subject-matter experts
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450+
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quality engineers
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44
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quality notification approvers
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25+
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concession assessors
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The question isn't whether agentic AI will transform quality. It's whether you'll lead the change or follow it.
Download the report
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