Quality Management That Is Audit-Ready On Any Given Day.
Dharte AI runs the complete five-phase APQP workflow from lead capture and PFMEA through to full PPAP submission — with every record built from live production and procurement data, so preparing for an audit stops being a document-gathering exercise.
What is manufacturing quality management software?
Manufacturing quality management software plans quality before production starts and proves it afterwards. The planning side is APQP: a structured five-phase process covering design, process development, validation and launch, with deliverables including process flow diagrams, PFMEA, control plans, measurement systems analysis and statistical process control.
The proving side is PPAP — the submission package that demonstrates to a customer that your process reliably produces a conforming part. Both are contractual requirements for automotive suppliers under IATF 16949, and both are extremely difficult to maintain when the underlying data lives in separate spreadsheets.
The five-phase APQP workflow
Phase 1 — Plan and define
Lead capture, cross-functional team, BOM, PFMEA, process flow and quotations.
Phase 2 — Product development
Tool design, gauge planning, sample submissions and trial runs.
Phase 3 — Process design
MSA and SPC planning, layout inspection and work instructions.
Phase 4 — Validation
PQCT, process audit, product audit and process training records.
Phase 5 — Launch and PPAP
The full PPAP suite including PSW and ISC, with SPC, PDCA and TGR/TGW.
APQP timing plan
Milestone tracking across every phase and deliverable, so slippage is visible early.
Documents built from data, never re-keyed
Every quality record in Dharte AI is assembled from the transactions that already happened — the inspection that was logged, the trial that was run, the training that was recorded. Nothing is transcribed into a separate document set, which removes both the effort and the version drift that make audit preparation painful.
In-process quality, not end-of-line discovery
Rejections are captured at the operation that produced them, so the production record and the quality record update together. Rejection rate thresholds raise alerts to the responsible person, and the same data feeds the SPC and PDCA records rather than being recompiled for them.
The same standard at every site
Your customer expects identical process control at each of your plants. Dharte AI standardises quality workflows and approval chains across sites and lets you benchmark plants against each other on rejection rate, so compliance does not vary by location.
How this connects to the rest of the platform
Every Dharte AI module shares the same records, so the modules below act on the data this one produces — and vice versa.
Production Management
Work orders, route cards, plan versus actual and per-shift throughput on live data.
Learn moreAutomotive ERP
ERP for automotive OEMs and Tier-n component suppliers, with APQP and PPAP built in.
Learn moreManufacturing ERP
The connected system of record for production, quality, materials, procurement and people.
Learn moreProcurement
Requisition to PO, automated RFQs, vendor comparison and approval chains.
Learn moreFrequently asked questions
Yes. Dharte AI runs all five APQP phases with their deliverables — PFMEA, process flow, tool and gauge planning, trial runs, MSA and SPC planning, layout inspection, work instructions, process and product audits — through to a complete PPAP submission pack including PSW and ISC.
The quality backbone is built around the automotive standard, including APQP, PPAP, PFMEA, MSA and SPC, which is what IATF 16949 suppliers are audited against. Certification itself is granted to your organisation by an accredited body; Dharte AI maintains the records and process control that support it.
No. Quality planning and control are core modules of Dharte AI rather than an add-on, which is the point — a separate QMS means quality data and production data have to be reconciled rather than shared.
Because every record is generated from live operational data, the submission pack is assembled from what already exists instead of being collected from individual spreadsheets and owners. An automated audit management module that pre-populates findings before the auditor arrives is currently in development.
See it running on a real manufacturing operation.
Thirty minutes, with your product types and your workflows — not a slide deck.
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