Structured audit context
Pin the audit to versioned requirements, evidence expectations, evaluation criteria, and domain knowledge so historical conclusions remain explainable.
REMOTE SUPPLIER AUDIT SOFTWARE
QualityAI brings audit scope, structured requirements, supplier evidence, audit points, findings, responses, actions, closure, and supplier-safe reporting into one human-governed workflow.
THE OPERATING PROBLEM
A remote supplier audit becomes difficult to defend when requirements, sampled evidence, interview notes, findings, supplier responses, and action decisions live in separate tools. This is especially visible when quality teams audit suppliers across continents and cannot rely on frequent travel.
QualityAI is designed for evidence-based, sampling-based remote process audits. The platform creates a traceable path from defined requirements to evidence and conclusions, while keeping the responsible auditor in control. Remote methods supplement on-site work; they do not automatically replace it.
THE QUALITYAI APPROACH
The current product direction is a domain-guided remote process audit, not an autonomous audit engine.
Pin the audit to versioned requirements, evidence expectations, evaluation criteria, and domain knowledge so historical conclusions remain explainable.
Collect evidence, manage audit points, document findings, request supplier responses, and follow action revisions without losing the decision trail.
AI may support analysis and drafting, while auditors retain control of findings, scoring, report approval, action acceptance, and closure.
THE INITIAL LAYER
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 single workflow keeps setup, evidence, conclusions, follow-up, and publication connected.
Set scope, participants, requirements, evaluation context, and supplier access.
Review sampled evidence and interviews against structured audit points.
Document findings, supplier responses, action requests, revisions, review, and acceptance.
Complete the audit, verify closure, publish the supplier-safe report, and retain history.
STANDARDS-INFORMED PRODUCT DIRECTION
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
Not automatically. Remote audit methods can increase coverage and reduce unnecessary travel, but the appropriate method depends on objectives, evidence, risk, process complexity, and customer requirements.
No. QualityAI uses a human-governed model. AI can support evidence understanding and drafting, while the auditor remains responsible for conclusions and decisions.
The product direction connects scope, requirements, evidence, audit points, findings, supplier responses, actions, review, closure, report publication, and immutable scope amendments.