ManufacturingAI implementation case study

Manufacturing – Aerospace Machining Shop (Southwest): Precision Scheduling & NADCAP Trace AI

AI for finite-capacity scheduling, traveler automation, CMM result ingestion, and AS9100 audit trail generation.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom automated machining operations from schedule to certification package with AI agents enforcing aerospace traceability.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: precision aerospace machining. Complexity: AS9100, NADCAP processes.

02 · Challenge

Core problem

Manual scheduling, paper travelers, audit panic.

03 · Approach

Solution

PrimeAxiom deployed an aerospace ops brain: AI scheduling with machine constraints, digital traveler agents, CMM file parsers, and automatic audit binders per lot.

04 · Impact

Results

On-time delivery +21%; setup time waste −34%; audit prep hours −76%; scrap rate −18%.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Schedule Agent, Traveler Agent, Metrology Agent, Audit Binder Agent.

Workflow

How the automation runs

1. Order release. 2. AI schedules finite capacity. 3. Digital traveler updates. 4. CMM results linked. 5. Non-conformance paths. 6. Human NCR decisions. 7. Audit PDF auto-built.

Intelligence layer

AI agents and decision logic

Scheduler Agent, Doc Agent, Quality Agent.

Under the hood

Technical architecture

MES integration, file watchers, LLM for narrative NCR drafts.

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