Evidence grounded
Keep analysis linked to supplier files, answers, requirements, and source context instead of presenting unsupported model output.
AI-ASSISTED SUPPLIER AUDITS
Use AI in supplier audits without giving up evidence, traceability, or human control
QualityAI is designed as an evidence-governed AI layer for supplier readiness and audit workflows, not as an autonomous auditor or automated compliance decision-maker.
Requirement-drivenEvidence-basedHuman-approvedVersioned and traceable
THE OPERATING PROBLEM
AI adds little value when its output cannot be traced to source evidence
Quality teams need help processing growing volumes of supplier documents, but a fluent answer is not enough. Audit conclusions must remain connected to requirements, source evidence, versions, review status, and the person responsible for the decision.
QualityAI uses a human-governed model. AI can support document understanding, evidence mapping, missing-information detection, scoring suggestions, follow-up requests, report drafting, and action-plan review. Qualified people retain control of findings, supplier decisions, report approval, and closure.
THE QUALITYAI APPROACH
Controlled AI inside a quality workflow
The platform direction combines hard workflow rules, visible evidence, versioning, and explicit human approval.
Risk aware
Use AI assistance proportionately, with stronger review and controlled actions where consequences are higher.
Human governed
Require people to approve conclusions, supplier status, findings, reports, action acceptance, and closure.
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
Where AI can assist and where people decide
AI support is useful across the workflow, but responsibility remains explicit.
- 01
Understand
Extract and organize information from supplier evidence while retaining source traceability.
- 02
Compare
Map evidence to requirements and highlight gaps, ambiguity, or conflicting information.
- 03
Draft
Prepare review notes, evidence requests, scoring suggestions, and report language for expert review.
- 04
Approve
Let qualified people accept, edit, override, or reject AI-supported output.
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
Does QualityAI market an AI-first product?
No. The positioning is supplier readiness and audit software supported by AI. Evidence, workflow governance, traceability, and human responsibility lead the product story.
Can users override AI-supported output?
Human review, acceptance, editing, and override are central to the intended operating model.
Does referencing the EU AI Act or ISO/IEC 42001 mean certification?
No. Standards and regulatory references describe principles informing product direction. They do not imply certification, legal compliance, endorsement, or affiliation.