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AI Quality Control Software

AI quality control software runs AQL sampling, control plans, FAI, NCR-to-CAPA closure, supplier scorecards, and SPC export for ISO 9001 and IATF 16949.

Works OfflineiOS & AndroidFree Setup & Onboarding
Quick Answer

AI quality control software is the QC programme platform that QC Managers and Supplier Quality Engineers use when defects need to be sampled correctly under AQL rules, contained quickly, traced through the supplier lot and the customer complaint, and closed through verified CAPA.

Available on Mobile

Run AI Quality Control on the Inspectly360 Mobile App

Inspect on iOS and Android with no internet required. Capture photos, let AI flag defects, and generate audit-ready reports in the field.

What Is Quality Control Software, and How Does It Differ from Quality Inspection Software?

The pain it solves is the daily reality of multi-line manufacturing QC: AQL plans pinned to QC station walls but applied inconsistently across shifts, control plans living in QC engineering folders that the shop floor cannot reach, First Article Inspection sign-off arriving days late, defect taxonomies drifting between operators so Pareto analysis is unreliable, NCRs in Excel that cannot link to a customer complaint or a supplier batch, customer 8D responses rebuilt from spreadsheet archaeology, and SPC data living on one laptop while machine vision data sits in a vendor portal nobody opens.

Before and After Inspectly360

What changes once ai quality control software runs on one mobile-first platform.

Before Inspectly360

  • AQL sampling plans documented in PDFs and pinned to QC station walls.
  • Control plans live in QC engineering folders and First Article Inspection records sit in another binder.
  • Defect categories drift between operators and shifts.
  • Customer complaints sit in CRM; internal NCRs sit in Excel; lot traceability sits in ERP.
  • SPC charts live in Minitab on a QC engineer's laptop.

After Inspectly360

  • AQL sampling rules (Acceptable Quality Limit) encoded into QC templates with ANSI/ASQ Z1.4 sampling logic.
  • Control-plan characteristics drive the QC template the operator runs; First Article Inspection forms (AS9102, IATF 16949 PPAP, or your custom format) execute…
  • Defect taxonomy is centrally maintained with picklists, examples, and AI-assisted classification.
  • Customer complaints link to NCRs, lots, suppliers, and FAI records on one quality record.
  • Measurement data exports to Power BI, Tableau, Minitab, and JMP for SPC analysis.

How Does a QC Programme Tie AQL Sampling, Control Plans, FAI, NCR, and Customer Complaints Together?

QC Managers usually wire these five steps before scaling across additional lines, products, suppliers, and customer programmes.

  1. 1

    Define AQL Sampling, Control Plans, and Defect Taxonomies

    Encode ANSI/ASQ Z1.4 AQL sampling rules, measurement specifications with upper and lower limits, visual acceptance criteria, control-plan characteristic lists, and a centrally maintained defect taxonomy into QC templates. Required photo evidence per defect type enforces the SOP rather than relying on the wall poster.

  2. 2

    Run FAI and Receiving Inspection with Approver Sign-Off

    First Article Inspection forms (AS9102 for aerospace, IATF 16949 PPAP for automotive, or custom format) execute on tablet with named approver sign-off. Receiving inspection runs against the control plan with lot, SKU, work order, operator, and supplier attached automatically.

  3. 3

    Assist Defect Classification with AI, Decide with Engineers

    Edge AI ranks defects by severity and matches to the central defect taxonomy. QC engineers disposition every anomaly (rework, scrap, return to supplier, use-as-is with concession) with full traceability. Critical product decisions stay with the human and the audit trail records both the AI suggestion and the human decision.

  4. 4

    Contain Suppliers and Link Customer Complaints

    Supplier scorecards track reject rate, NCR count, on-time delivery, and quality trend per product line. Customer complaints link to NCRs, lots, and the originating supplier batch; 8D responses write from the same record. Repeat defects trigger containment, escalation, and CAPA assignment back to the supplier.

  5. 5

    Close NCRs, Feed SPC, and Integrate Machine Vision

    NCRs require closure evidence (re-inspection, photo proof, supervisor sign-off) before resolution. Measurement data feeds Power BI, Tableau, Minitab, and JMP for SPC analysis. Machine vision detections feed into the same quality record via API or webhook so inspector findings and machine vision data meet on one line view.

What Quality Control Software Covers

Quality control software runs digital quality inspections with batch and lot traceability: production quality monitoring, defect and non-conformance tracking, CAPA and root cause analysis, supplier quality, and automated audit trails.

What Gets Checked

  • Digital quality inspection results
  • Batch and lot traceability
  • Defect and non-conformance capture
  • CAPA and root cause analysis
  • Supplier quality performance
  • Automated audit trails

Common Defects It Surfaces

  • Defects escaping to the customer
  • No traceability by batch or lot
  • Non-conformances closed without CAPA
  • Root cause never established
  • Supplier quality untracked

Evidence Captured

  • Inspection record with batch and lot
  • NCR and CAPA log with closure
  • Quality and defect dashboard

Templates align to ISO 9001, industry regulatory requirements, your control plan.

AI-Powered Features for Your Field Workflows

Everything your field team does on paper, Inspectly360 does automatically: faster, more accurate, and without the admin.

Take a Photo. AI Fills the Form illustration

Take a Photo. AI Fills the Form

Your inspector takes a photo of any asset or defect. AI reads it and fills the inspection form automatically. No typing. No manual entry.

Speak. AI Writes It Down illustration

Speak. AI Writes It Down.

Inspectors speak their observations in any language. AI transcribes and fills the form in real time. Completely hands-free in the field.

Inspections Done. Report Ready illustration

Inspections Done. Report Ready.

The moment an inspection is submitted, a branded PDF, Excel, or CSV report generates automatically. No manual work. No waiting.

Connect Your Existing Tools illustration

Connect Your Existing Tools.

Inspectly360 integrates with the tools your team already uses, including Zoho, Microsoft 365, and SAP. No double entry.

Live Dashboard. Every Site. Always On illustration

Live Dashboard. Every Site. Always On.

Your operations team sees completion rates, open issues, and compliance scores across all sites in real time. No chasing updates.

One Platform. Mobile-First. AI-Powered.

Manage every checklist in one connected workspace, capture evidence on mobile at the point of work, and let AI turn field inputs into clear, stakeholder-ready reports in minutes.

Mobile inspection app screen showing a shared team checklist with site, date, and report-type options
Collaborate

Collaborate with your team anytime, anywhere

See which checklists your team has in progress across every site, jump into the same inspection with one tap, and keep field, supervisor, and back-office views in sync without sending screenshots on WhatsApp.

  • Organise inspection data by site, team, and date
  • Assign checks to the inspector or vendor responsible
  • Track completion across every location in one view
  • Keep field and back-office in sync in real time
  • Comment on findings without leaving the inspection
Custom inspection report shown as a branded PDF with charts and finding details
Custom Reports

Custom reports that guide your decision making

Every team reports differently. Build the report your operations, quality, or compliance leads actually want to read, share it as a branded PDF, and schedule delivery to the stakeholders who need it.

  • Branded PDF and CSV export from any completed inspection
  • Schedule weekly or monthly delivery to managers and clients
  • Share to email, Drive, Teams, or Slack in one click
  • Filter findings by site, severity, or corrective-action status
Inspection analytics dashboard showing completion and pass-rate trends with a schedule card
Powerful Analytics

Analyse your inspection data with confidence

See completion, pass rate, and recurring findings across every checklist and every site, without pulling spreadsheets together at the end of the month.

What Changes for QC Managers, Supplier Quality Engineers, Procurement, and Customer Quality?

What changes once ai quality control software is standardised on Inspectly360.

  • QC Managers: AQL sampling enforced at capture, control plans driving the operator's template, and FAI sign-off arriving the same shift rather than days later.
  • Supplier Quality Engineers: per-supplier scorecards and NCR-to-supplier traceability that turn supplier reviews from anecdote to defect data.
  • Line Operators and Shop-Floor Inspectors: the right control plan and the right defect taxonomy on the tablet during the shift, with AI-assisted classification cutting form-fill time.
  • Procurement and Sourcing: live supplier scorecards available before renewal conversations, with reject rate and on-time delivery on the same view.
  • Customer Quality Engineers and 8D Owners: customer complaints linked to NCRs, lots, and supplier batches; 8D responses write from one record rather than reconstructed.
  • Quality Engineering and SPC Owners: measurement data flowing into Power BI, Tableau, Minitab, and JMP without manual export, and machine vision detections meeting inspector findings on one record.
  • ISO 9001, IATF 16949, and AS9100 Auditors: closed-NCR traceability, FAI evidence, and control-plan execution available on demand under multi-year retention.

Reviews From Real People

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4.5/5TrustpilotBased on 3,987 reviews

What our
customers are
saying

Field inspector with tablet on site

Inspectly360 transformed how we manage site safety inspections. The offline capability alone saved us countless hours. Our compliance rate jumped from 72% to 96% in just three months.

Sarah Mitchell

Meridian Construction Group

Field inspector at work

The AI-powered defect detection has changed how we work. Our inspectors capture photos and the system flags issues we'd have missed. It's like having an expert reviewer on every site visit.

James Chen

Pacific Manufacturing Co.

Inspection team reviewing site checklist

Rolling out digital checklists across multiple projects gave us instant visibility into recurring safety issues. We now resolve critical findings in hours instead of days.

Olivia Carter

Northbridge Infrastructure

Ready to Move AI Quality Control Off Paper?

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Which QC Templates Help Reduce Defects and Simplify NCR Closure?

Get started with inspection and audit checklist templates.

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End of Shift Shutdown & Handover Checklist - FREE PDF

Use this End of Shift Shutdown & Handover inspection to verify critical checkpoints and safety controls, compliance records and sign-off and corrective actions with photo evidence…

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Chemical Spill Response Drill

Use this Chemical Spill Response Drill inspection to verify critical checkpoints and safety controls, compliance records and sign-off and corrective actions with photo evidence on…

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Colombia Emergency Brigade Training Checklist
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Colombia Emergency Brigade Training Checklist

Use this Colombia Emergency Brigade Training Checklist to verify critical steps, capture evidence, assign corrective actions, and keep operations safe and compliant.

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Frequently Asked Questions About AI Quality Control Software

How does AI quality control software handle AQL sampling on the shop floor?

AQL sampling rules (Acceptable Quality Limit) encode into QC templates using ANSI/ASQ Z1.4 sampling logic. The template tells the operator the sample size and acceptance number for the lot size and AQL level, so sampling stays consistent across shifts and operators. Where the customer programme requires a specific switching rule between normal, tightened, and reduced inspection, the platform applies it automatically based on the recent quality history of that supplier or product. Sampling stays a structured rule rather than a wall poster.

How does the platform drive control-plan execution on the line?

Control-plan characteristics drive the QC template the operator runs at each control point. When QC engineering updates the control plan, the operator's template updates on the next shift rather than requiring a binder reprint. Characteristic-level measurement specs, frequency, sample size, reaction plan, and responsible role flow from the control plan into the operator's workflow. The shop floor runs the current plan; QC engineering retains version control over what the current plan actually is. AI Quality Control Software moves ai quality control inspections off paper, WhatsApp, and spreadsheets into one timestamped record per ai quality control.

How does SPC data flow out of the platform for Minitab, Power BI, and JMP analysis?

Measurement data exports via REST API and scheduled exports to Minitab, JMP, Power BI, Tableau, Looker, and Google Data Studio. SPC engineers run control charts, capability studies, and process performance indices on the live data rather than copy-pasting from QC station spreadsheets. Where the SPC tool supports it, the platform can push real-time events on out-of-control conditions so the line reacts immediately rather than at the next QC engineering review. AI Quality Control Software moves ai quality control inspections off paper, WhatsApp, and spreadsheets into one timestamped record per ai quality control.

How does NCR-to-CAPA workflow handle disposition, root cause, and verified closure?

When a QC inspection records a non-conformance, Inspectly360 auto-creates an NCR with the failed item, photo evidence, lot, SKU, work order, operator, and supplier pre-attached. Disposition workflow (rework, scrap, return to supplier, use-as-is with concession) assigns owners and tracks decisions. CAPAs link to the NCR with root-cause analysis fields, owners, deadlines, and required closure evidence. Closure requires verification (re-inspection, photo proof, supervisor sign-off) before the NCR is fully resolved. Full traceability satisfies ISO 9001, IATF 16949, and AS9100 requirements. AI Quality Control Software moves ai quality control inspections off paper, WhatsApp, and spreadsheets into one timestamped record per ai quality control.

How do supplier scorecards work in supplier quality reviews?

Each supplier is a first-class entity with its own scorecard covering reject rate, NCR count, on-time delivery percentage, quality trend per product line, and CAPA closure performance against supplier-assigned actions. Procurement and supplier quality engineers share the same view; supplier reviews and renewal conversations open with the scorecard rather than reputation. Recurring defects from a supplier trigger automatic containment actions, including escalation, re-source recommendations, and CAPA assignments back to the supplier where the relationship and contract allow. AI Quality Control Software moves ai quality control inspections off paper, WhatsApp, and spreadsheets into one timestamped record per ai quality control.

How does First Article Inspection (FAI) run on the platform?

FAI forms execute on tablet against AS9102 (aerospace), IATF 16949 PPAP (automotive), or a configured custom format. The form covers part identification, material certification, measurement results against the drawing, characteristic accountability, and named approver sign-off with timestamps. FAI evidence retains under multi-year retention aligned to the customer programme. Customer quality audits requesting FAI evidence two or five years after the lot shipped see structured records rather than a binder hunt, and FAI handover to a new customer programme reuses the platform-resident template rather than starting from scratch.

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