5-phase APQP with AI pre-screening on every document, readiness scoring per phase, and automatic PPAP creation at Phase 4.
Advanced Product Quality Planning is the structured quality planning process that governs every new part introduction in automotive manufacturing. Managing it across email, shared drives, and spreadsheets results in missed deliverables, invisible gate status, and lost audit trails. Proconomy brings all 5 AIAG phases, mandatory deliverables, and gate reviews into one structured platform — and goes further: every document uploaded by the supplier is AI-checked on upload against document-type rules, a phase readiness score is calculated automatically, suppliers walk through findings via a self-review wizard before submitting, and when Phase 4 is approved, the PPAP record is auto-created with 11 deliverables pre-populated from APQP. Industrial OEMs managing APQP programmes across dozens of supplier-part combinations simultaneously use Proconomy to get real-time gate status across all active programmes, automatic AI document checking on every upload, and a direct path from Phase 4 gate approval to a pre-populated PPAP.
Every step is designed to eliminate manual effort, reduce errors, and give your team real-time visibility at every stage of the process.
Buyer creates the APQP record, links it to supplier, part, and programme, and sets gate target dates. Supplier is live in the portal with a full phase schedule before the meeting ends.
AI pre-loads the deliverable checklist for each phase based on part type and programme — buyer does not build lists manually.
Your team stops building spreadsheet trackers for each new programme. Every programme starts structured, on time, and visible to all stakeholders from day one.
The supplier uploads against each phase deliverable. The moment a file is saved, AI reads it against document-type rules and flags every error — before the buyer is notified, before the gate clock starts.
AI checks DFMEA/PFMEA RPN and severity thresholds, Control Plan CC/SC coverage, Capability Study Ppk, MSA %GRR, Drawing balloon alignment, and Material Cert validity. Cross-doc analysis catches specific gaps like "PFMEA item RPN 240 has no Control Plan entry" — named, not generic.
Errors caught at upload, not at gate review. Supplier corrects issues in days, not after a rejection cycle that costs 2–3 weeks per phase.
Before submitting a phase, the supplier walks through every AI finding and missing deliverable one at a time via a guided wizard — and must respond to each. The gate submission arrives with all findings already addressed.
Supplier sees the same AI findings as the buyer — before submission. Supplier responses are attached to each finding so the buyer sees action taken, not just a list of problems.
Gate submissions arrive pre-answered. Buyer is not the first person to read the documents — they are the decision-maker reviewing work already validated and self-corrected by the supplier.
Buyer opens the phase with a readiness score calculated, AI findings surfaced, supplier responses attached, and an AI gate recommendation already generated. The review takes 20–30 minutes instead of hours.
AI gate recommendation synthesises every AI finding, cross-doc result, readiness score, and missing deliverable into a single gate outcome suggestion with reasoning — buyer confirms or overrides.
Gate reviews that previously took half a day now close in under 30 minutes. Rejection rates drop because issues are resolved before the gate — not discovered during it.
Phase 4 approval triggers automatic PPAP creation. 11 AIAG PPAP elements are pre-populated from documents already in the APQP record — no re-submission, no re-keying, no duplicate uploads.
AI maps 11 APQP documents to their corresponding PPAP elements and recommends submission level — the PPAP record is ready for review the moment Phase 4 is approved.
The two longest quality processes in part introduction — APQP and PPAP — are now one continuous workflow. Teams that previously spent 2–3 weeks setting up PPAP after APQP completion do it in minutes.
Proconomy gives every stakeholder the right view, the right tools, and the right level of access — so no one is a bottleneck and nothing falls through the cracks.
These are not theoretical benefits — they are outcomes that procurement teams experience within the first quarter of deploying this workflow on Proconomy.
Phase readiness score visible to both buyer and supplier — updates as documents are uploaded and AI checks complete. No phone calls to ask "where are we?"
AI flags document errors the moment the supplier uploads — not when the buyer opens the file days later. Supplier self-corrects before gate submission.
PPAP auto-created from Phase 4 with 11 documents pre-populated. Zero re-keying, zero duplicate uploads, full APQP-to-PPAP traceability.
Every deliverable upload, AI finding, supplier response, buyer override, and gate decision logged with actor and timestamp. IATF 16949 audit trail built in.
AIAG APQP 4th Edition — core workflow for every new part introduction at Tier 1 and Tier 2 suppliers.
Joint OEM-supplier gate reviews with full audit trail for IATF 16949 compliance.
Programme planning and gate management for AS9100 supplier qualification.
APQP-light process for critical components and new supplier introductions.
The end-to-end procurement engine — from demand signal to supplier payment, fully automated and audit-ready.
Explore 9 steps →Turn demand signals into purchase orders automatically — before shortages happen, not after.
Explore 6 steps →Qualify, approve, and activate new suppliers in days — not weeks — with AI-powered risk assessment built in.
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Explore 6 steps →See how Proconomy transforms this workflow for your procurement team — live, with your own scenarios.