Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
AI-Powered First Article Inspection
Replace manual ballooning, spreadsheets, and scattered inspection documents with AI that builds the inspection plan, maps characteristics to measurement results, resolves nonconformances, and assembles a submission-ready FAI package.
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A super fast way to see how AI first article inspection works for your team.
Customer Success Stories
Dylan Hoback
Accu-Tube
Jason Carpenter
Environmental Pest Management
With Praxie, I found a way to take what was in documents and spreadsheets and provide my team with a visual application environment to drive our strategy with full accountability.
Elizabeth Pridham
Perfection Fresh
Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.
Scott Russell
NUCOR Vulcraft
I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.
Mike Bainbridge
Dover Food Retail
Our MFG Ops application greatly improved our daily management initiatives. It is easy to see how we are doing, identify issues, and track improvements—no matter where we sit.
Jeff Piotrowicz
ChemLink
With Praxie we've created a way to report on complex projects that gives management full visibility. Executives have visibility to projects, assignments, and more at their fingertips.
Maureen Thompson
American Nurses Association
Our Praxie App makes it easy to track progress on strategic objectives across the organization and includes an executive-level dashboard with real-time reports to the board on key initiatives.
Tom Anderson
Springfield Armory
Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.
Peggie Pelosi
Innovators Alliance
Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.
Kate Merton
Anthem
Praxie's innovation solution stood out from other options because it can be customized so quickly to fit our exact process requirements. Plus, it is incredibly easy to use and manage.
First Article Inspection Is Complex - AI Can Help
Stop chasing first articles with spreadsheets, marked-up PDFs, and tribal knowledge. Praxie’s AI-powered first article inspection brings drawings, ballooned characteristics, inspection plans, measurement results, certifications, nonconformances, and approval status into one secure workspace so teams can plan smarter, submit faster, and qualify new parts with confidence.
Fewer rejected submissions
Faster inspection execution
Smarter inspection planning
1
Parts, Assemblies & Revisions
2
Drawings & Ballooned Characteristics
3
Inspection Plans & Methods
4
GD&T, Tolerances & Specifications
5
Measurement Results & CMM Data
6
Gauges, Fixtures & Calibration
7
Inspector Skills & Availability
AI First Article
Inspection Engine
OK
FAI
RISK
PLAN
WATCH
8
Inspection Procedures & SOPs
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Approval Flows & Escalations
10
Recurring Defects & Problem Features
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Supplier Submissions & PPAP
12
AS9102, PPAP & Compliance Forms
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Inspection Cost, Effort & Time
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Nonconformances & Deviations
Why it’s difficult
First article inspection is not just a form. It is a constantly changing system where drawing revisions, characteristics, measurement capability, suppliers, and customer approval deadlines all compete for attention.
Every part is differentRevision level, tolerance, material, special processes, gauge capability, and inspector skills all matter.
Priorities change in real timeEngineering changes, supplier delays, out-of-spec results, and urgent customer submissions constantly shift the plan.
Small misses become failed submissionsA missed characteristic, stale revision, or unresolved deviation can create cascading delays and costly production holds.
AI Optimized Inspection Plan
Inspection TaskPriorityStatus
Bracket 4471 — balloon drawing rev CHighPlanned
CMM inspection plan — housing assemblyMediumReady
Out-of-tolerance feature dispositionRiskCerts OK
Material and special process certsLowAssigned
Repeat defect root-cause reviewHighEscalate
Higher first-pass yield
Faster approval
Submission-ready packages
Closed-loop improvement
AI-Powered First Article Inspection: Jobs to Be Done
Instead of a feature dump, Praxie organizes first article inspection capabilities around the real work quality leaders, FAI coordinators, inspectors, and supplier quality engineers need to accomplish every day.
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Monitor part readiness
Unify drawings, ballooned characteristics, measurement results, and supplier documentation to see which parts need attention.
- Part, assembly, and revision profiles
- Ballooned drawings and inspection inputs
- Measurement, deviation, and submission history
- ERP, QMS, MES, PLM, and CMM integrations
Outcome: teams understand part readiness before production ramp-up is disrupted.
2
Prioritize the right work
Use AI to rank characteristics and open issues by risk, criticality, backlog impact, and likely effect on approval and quality.
- Priority scoring for parts and characteristics
- Full, partial, and delta FAI planning
- Key characteristic, tolerance, and risk context
- Backlog triage and scheduling recommendations
Outcome: the most important inspection work gets planned first.
3
Execute inspections efficiently
Coordinate inspectors, gauges, procedures, and inspection tasks so first articles get verified faster and with fewer delays.
- Digital inspection plans and inspector workflows
- Gauge, fixture, and documentation coordination
- Standard procedures, checklists, and mobile execution
- Escalations, approvals, and status visibility
Outcome: teams complete inspections reliably with less delay and rework.
4
Improve quality over time
Turn inspection history, root-cause insights, and recurring defects into better inspection plans and continuous improvement.
- Defect trend analysis and recurring issue detection
- Root cause analysis and corrective action tracking
- Quality KPIs, first-pass yield, and submission analytics
- AI suggestions for optimization and prevention
Outcome: every first article becomes a learning loop for higher first-pass yield.
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Monitor part readiness
2
Prioritize the right work
3
Execute inspections efficiently
4
Improve quality continuously
Fewer Rejected
Submissions
Submissions
Higher First-Pass
Yield
Yield
Faster Inspection
Execution
Execution
Improved Quality
and Ramp-Up
and Ramp-Up
ROI of Moving from Manual FAI Paperwork to AI-Powered First Article Inspection
A simplified view of how manufacturers move from manual ballooning and spreadsheet-based FAI tracking to connected AI first article inspection that improves approval rates, reduces cost, and gets new parts into production faster.
1
Traditional First Article Inspection
Manual paperworkTeams balloon drawings by hand and rekey results into spreadsheets and forms.
Paper and spreadsheetsInspection plans, revisions, and submission history are hard to track.
Limited inspection visibilityCharacteristics, results, certifications, and approval status stay disconnected.
Hidden riskRejected submissions, production holds, rework, and missed characteristics.
2
Transition to AI-Powered First Article Inspection
Connected drawing data + characteristic logic + predictive quality intelligence
3
AI-Powered First Article Inspection
Catch issues earlierAI flags missing data, tolerance risks, and out-of-spec results.
Automated inspection workflowsCreate, assign, prioritize, and track inspection tasks in one place.
Better coordinationInspectors, engineers, suppliers, and production teams stay aligned.
Smarter decisionsDashboards, alerts, root cause insights, and AI recommendations.
Key ROI Elements
30%
Fewer Rejected Submissions
Catch issues earlier and reduce failed submissions.
40%
Faster FAI Cycle Time
Cut delays from drawing to measurement to approval.
25%
Higher Documentation Compliance
Keep inspection records complete and on schedule.
15%
Lower Quality Cost
Reduce rework, scrap, and repeat defects.
Fewer
Missed Characteristics
Connect inspection plans with every drawing requirement.
Higher
Production Readiness
Get new parts approved and into production faster.
Business Impact: fewer rejected submissions, faster FAI execution, higher first-pass yield, and lower total quality cost.
How Praxie Compares for AI-Powered First Article Inspection
A simple view of the first article inspection landscape — and why Praxie delivers more predictive insight, faster inspection execution, and smarter quality documentation for manufacturers.
Spreadsheets &
Manual Logs
- Reactive tracking
- Paper-based inspection forms
- Limited submission history
- Hard to prioritize characteristics
- Higher rejection risk
ERP / QMS
Quality Modules
- Connected to enterprise data
- Often rigid workflows
- Slow field adoption
- Heavy configuration
- Limited AI guidance
Traditional
FAI Tools
- Good form control
- AS9102 and PPAP form support
- Can become data-entry heavy
- Limited operational context
- Often weak analytics
Point
Predictive AI Tools
- Useful for narrow part families
- Detects defect patterns
- May require data projects
- Disconnected from execution
- Limited inspection workflows
★ BEST FIT
Praxie AI-Powered
First Article Inspection
- AI ballooning, inspection plans & reports
- Predictive alerts and risk prioritization
- Connects ERP, QMS, MES, PLM & suppliers
- Dashboards, workflows & inspector guidance
- Faster deployment, lower complexity
Inspection workflow flexibility
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✓
Real-time nonconformance response
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✓
AI risk prediction & recommendations
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✓
✓
Drawings, characteristics & results
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✓
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✓
Connected drawing, measurement & supplier data
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✓
Speed to deploy and adapt
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✓
Why Praxie
Stands Out
Stands Out
More flexible than rigid QMS and ERP modules
Far more automated than spreadsheets and manual logs
Broader than point ballooning and CMM tools
Faster to deploy than heavy QMS replacement projects
FAQ: AI-Powered First Article Inspection
Clear answers to the most common questions manufacturers ask when moving from manual ballooning, spreadsheets, and disconnected inspection documents to intelligent, AI-powered first article inspection.
1
How does AI improve First Article Inspection — and can my team trust it?
Answer: The AI automates data extraction, validation, and analysis across drawings, inspection results, and compliance documentation. It can balloon drawings, map characteristics to measurement results, and detect missing or inconsistent data. Recommendations are explainable, so quality teams can see why a characteristic needs attention and stay in control of every inspection decision.
2
How much manual work does AI eliminate from FAI documentation?
Answer: A substantial amount. Traditional FAI preparation requires hours of manual drawing ballooning, spreadsheet entry, and document verification. AI generates inspection characteristics, organizes measurement results, and assembles compliant reports in minutes rather than hours — so teams spend their time resolving issues instead of compiling paperwork.
3
What happens when results reveal nonconformances or measurement risks?
Answer: The system automatically flags out-of-spec conditions, detects tolerance risks, and routes issues through structured workflows for engineering and quality review. That enables faster root-cause analysis, coordinated corrective actions, and clear documentation of deviations or approvals before production proceeds.
4
Can AI-driven FAI improve production quality and ramp-up speed?
Answer: Yes. By identifying dimensional issues, documentation gaps, and process inconsistencies early, AI-supported FAI resolves problems during initial production rather than during full-scale manufacturing. That improves first-pass yield, reduces scrap and rework, and accelerates production readiness across parts, lines, plants, or suppliers.
5
How is this different from spreadsheets or traditional inspection tools?
Answer: Traditional FAI processes rely on manual data entry, disconnected documents, and static spreadsheets that store data but never interpret it. AI-powered first article inspection connects drawings, measurements, supplier documentation, and compliance requirements into one intelligent workflow so teams can predict issues, optimize inspection plans, and continuously improve quality.
Bottom line: AI-powered first article inspection helps teams reduce rejected submissions, prioritize the right characteristics, improve first-pass yield, and move from manual paperwork to proactive quality execution.