Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
The first article is ready. The paperwork takes three days.
Replace manual FAI forms and ballooned drawings with AI that extracts characteristics, builds the report, and flags what does not conform — so first article stops being the bottleneck at launch.
$0
Send us one drawing and its inspection results
See Praxie in Action Now
Free pilot on your own parts. You keep what we find.
AI first article inspectionfor quality engineers and inspectors
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.
The part is finished. The report is not.
Making the first article was the easy part. Proving it conforms, characteristic by characteristic, is the job.
“We cannot release production until the FAI is approved.”
“I have three hundred characteristics to transcribe.”
A finished part, a ballooned drawing, and three days of typing ahead.
You do not need faster inspectors. You need the report to build itself — from the drawing and the measurements.
If you own first article
Is this your launch?
Most quality engineers and inspectors recognise at least four of these. If you recognise six, the rest of this page is written for you.
- Drawings are ballooned by hand, one characteristic at a time.
- Measurements are transcribed into forms twice.
- A single missed characteristic sends the whole package back.
- Revisions mean re-ballooning from scratch.
- FAI holds up production release more often than the part does.
- Every customer wants the data in a slightly different format.
- Non-conformances are found at the end, not as you go.
- “Is the FAI done?” is the question that delays launch.
None of this is an inspection problem. It is a transcription problem.
Is this you?
Worked example — precision parts manufacturerFirst article used to be a typing exercise.
Days↓Hoursto produce a complete FAI package
Hundreds of characteristics per drawing, ballooned by hand and transcribed into customer-specific forms.
Because the report was assembled manually, FAI became the gating item at launch — and one missed or mistyped characteristic sent the whole package back.
With AI extracting characteristics from the drawing and building the report from the measurements, the package comes together as inspection happens and non-conformances surface immediately rather than at the end.
Launch week
What stands between you and production release
Today
A finished part and three days of typing.
- Drawings ballooned by hand
- Measurements transcribed twice
- Non-conformances found at the end
- Re-ballooning on every revision
→
With Praxie
A package that assembled itself.
- Characteristics extracted from the drawing
- Report built from the measurements
- Non-conformances flagged as you go
- Revisions handled without starting over
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.
See Praxie in Action Now
Which part takes longest to get through first article?
Now select a day and time below.
Why Ballooning Drawings by Hand Does Not Scale
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
Questions Quality Engineers Ask Us First
The objections we hear in the first 20 minutes — answered plainly.
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.
Which part would you run first, if FAI took hours?
Send us one drawing and its inspection results. We’ll show you what Praxie would produce — your characteristics, your results, your format.
1Send us a drawing230-minute review3Free pilot on your data
See Praxie in Action
No cost, no obligation — and you keep what we find either way.