Atomic requirements
Break broad expectations into assessable audit points linked to expected evidence and evaluation criteria.
PROCESS AUDIT SOFTWARE
Remote process audit software for evidence-based industrial quality reviews
QualityAI structures requirements, sampled evidence, supplier collaboration, findings, and actions for domain-guided remote process audits in manufacturing supply chains.
Requirement-drivenEvidence-basedHuman-approvedVersioned and traceable
THE OPERATING PROBLEM
Process audits lose value when findings cannot be traced back to requirements and evidence
Manufacturing quality teams need to understand how a supplier process works in practice, not only whether a certificate exists. Yet process evidence, interviews, samples, findings, and action plans are often captured in disconnected documents, making comparisons and later review difficult.
QualityAI is designed around atomic requirements, evidence expectations, evaluation criteria, and domain knowledge. This supports a structured remote process audit while preserving sampling judgment and human conclusions. Focused 8D, PPAP, FMEA, and Control Plan workstreams are a product direction, not presented as fully delivered modules today.
THE QUALITYAI APPROACH
Structure without pretending every process is identical
Use a governed framework for evidence and scoring while retaining expert judgment about process context and sampling.
Domain-guided review
Bring process and industry knowledge into the audit context without hiding the source of conclusions.
Action follow-up
Keep findings, supplier responses, requested actions, revisions, review, acceptance, execution, and closure connected.
THE INITIAL LAYER
A readiness baseline before deeper audit work
The broadest QualityAI layer is designed for lightweight screening across potentially the full supplier base. It connects profiles, all provided locations, essential documents, readiness status, validity and expiry signals, and audit history. Missing evidence remains a follow-up signal, not an automatic verdict.
Supplier readinessWORKFLOW
A process audit trail that survives handovers
Audit context and decisions remain understandable after the meeting, report, or personnel change.
- 01
Prepare
Select scope, requirements, evidence expectations, criteria, and relevant domain knowledge.
- 02
Sample
Review supplier evidence and interviews using a documented sampling rationale.
- 03
Conclude
Record findings and scoring suggestions, then require human approval of conclusions.
- 04
Improve
Manage supplier actions and closure evidence without losing earlier versions.
STANDARDS-INFORMED PRODUCT DIRECTION
Designed around current audit and responsible-AI principles
Audit and AI governance are increasingly addressing digital methods, remote work, risk, traceability, and human oversight. QualityAI's product direction is informed by principles reflected in ISO 19011:2026, ISO/IEC TS 17012:2024, ISO/IEC 42001:2023, the EU AI Act, and VDA quality-management discussions on controlled AI.
References to standards and regulation do not imply certification, legal compliance, endorsement, or affiliation. Customers remain responsible for determining applicability.
FAQ
Frequently asked questions
Is QualityAI a VDA 6.3 replacement?
No such claim is made. QualityAI provides a structured platform direction for supplier and remote process audit workflows. Customers remain responsible for selecting applicable methods, standards, qualifications, and audit criteria.
Are 8D, PPAP, FMEA, and Control Plan modules available now?
They are presented as focused product-direction workstreams. The current core direction is the evidence-based, domain-guided remote process audit lifecycle.
Can one audit context change after the audit?
The product direction uses versioned and immutable evaluation context so historical audits remain pinned to the requirements and criteria used at the time.