Agentic super intelligence for the next-generation auto supply chain
Deploy a Tier 1 Supplier Quality Engineering (SQE) Assistant that implements structured problem-solving methodologies including 5W2H analysis, 8D methodology, and ISO/TS 16949 standards. Contextually aware of your specific contract obligations, supplier relationships, part schematics, known failure modes, and Manufacturer Supplier Handbook. Whether you're an independent liaison or directly employed by a parts manufacturer, we create a custom self-service updatable knowledge base that evolves as your relationship matures. Reinforcement learning AI continuously improves recommendations based on actual work completed by engineers and real outcomes achieved.
A unified communications, AI workflow engine, real-time employee assistant, and metrics dashboard all in one. Complete observability into quality issues using communication tools you already use. AI-enhanced summaries, automatic SCAR generation, intelligent routing to Tesla teams, and proactive management alerts ensure critical incidents are escalated appropriately. Professional documentation generation with full PPAP compliance and audit trails.
Transform field communications into comprehensive reports that meet stringent manufacturing documentation requirements. Automatically generate TQP submissions, deviation requests, controlled shipping documentation, and 8D reports from WhatsApp interactions. AI extracts critical information from images, interprets SPC charts, validates capability studies, and ensures all documentation meets AIAG PPAP and FMVSS regulatory requirements with complete traceability.
Complete end-to-end task automation with full human-in-the-loop integration for review and approval at every critical step. Our agentic AI handles complex quality engineering workflows while maintaining strict oversight and compliance.
AI continuously monitors WhatsApp communications, automatically detecting quality incidents using tier 1 critical characteristics framework. Applies 5W2H methodology to extract root cause indicators from field reports and images.
Automatically compiles comprehensive Supplier Corrective Action Request (SCAR) documentation including containment actions, root cause analysis using 8D methodology, and corrective action plans aligned with IATF 16949 requirements.
Submits formal quality notice to manufacturer through appropriate channels (Manufacturer Supplier Portal, direct engineering contact, or escalation path), ensuring compliance with contractual notification requirements and SLA timelines.
Real-time monitoring using manufacturer risk assessment criteria, FMVSS safety requirements, and custom risk matrices. AI identifies patterns indicating potential production impact, safety concerns, or customer quality issues.
Automatically determines appropriate escalation level based on severity matrix, part criticality, production volume impact, and supplier handbook escalation procedures. Routes to quality manager, plant manager, or executive team as required.
Generates concise executive briefings with business impact analysis, recommended immediate actions, resource requirements, and timeline for resolution. Includes financial impact assessment and customer communication strategy.
Machine learning algorithms analyze historical incident data, supplier performance metrics, and resolution effectiveness to identify recurring issues and predict potential quality problems before they impact production.
AI suggests improvements to quality procedures, supplier assessment criteria, and preventive action strategies based on successful resolution patterns and industry best practices from manufacturer supplier networks.
System automatically updates internal knowledge base with new failure modes, successful remediation strategies, and supplier-specific learnings, creating a continuously improving repository of quality engineering expertise.