Automated Material Certification and Mill Test Report Verification Workflow

This workflow automates the critical but repetitive process of securing and validating material certifications and mill test reports (MTRs) from suppliers upon delivery. It directly targets the operational bottleneck of manual follow-up, document chasing, and spreadsheet tracking, which delays project closeouts and introduces compliance risk. The business value is clear: it reduces administrative labor by over 80%, accelerates material approval cycles, and creates an immutable, searchable audit trail for quality assurance and potential claims defense, directly protecting project margin.

Implementation requires an orchestration layer, like LangGraph, to manage the stateful workflow across fragmented systems. It integrates with procurement ERP (e.g., SAP, Oracle), uses browser agents for supplier portals lacking APIs, and employs document AI for data extraction. Key controls include human-in-the-loop gates for non-compliant reports, automated alerts for missing documents, and integration with quality platforms like Autodesk BIM 360. The architecture must handle data quality variances, supplier response delays, and maintain a full audit trail for regulatory and client audits.

The workflow triggers upon material delivery in the procurement system (e.g., Procore, Viewpoint). An orchestrator, built with LangGraph, dispatches specialized agents: a Supplier Solicitation Agent uses browser automation to log into supplier portals and request certificates; a Document Processing Agent extracts key data from returned PDFs using OCR and LLMs; and a Specification Compliance Agent cross-references the data against the project's master specs in platforms like Autodesk Docs. Any mismatch or missing document triggers an automated exception workflow.

Implementation requires integrating with legacy supplier websites lacking APIs, necessitating robust browser agents with failover logic. The system routes all exceptions and low-confidence matches to a human-in-the-loop dashboard for review, maintaining a full audit trail. This architecture creates a closed-loop data pipeline between procurement, supplier ecosystems, and quality documentation platforms, turning a 3-5 day manual process into a same-day, automated verification with enforceable governance controls.

Phase 1 delivers a browser-driven orchestration layer that automates the solicitation and collection of mill test reports (MTRs) and certificates of compliance (CofCs) from supplier portals, even those lacking APIs. Using agents built on Playwright or Selenium, this initial workflow eliminates manual follow-up emails and portal logins, creating a structured data pipeline. The focus is on high-volume, predictable suppliers to prove ROI through labor savings and accelerated receipt cycles, while building a robust exception-handling and alerting framework for missing documents.

Subsequent phases introduce automated validation against project specifications using a RAG system over master specs and purchase orders, and integration with quality management systems for automatic document filing and traceability. Each phase includes defined controls: approval gates for validation logic, detailed audit trails of all agent actions, and a rollback plan. This incremental approach builds stakeholder confidence, allows for tuning of parsing accuracy, and ultimately creates a fully autonomous, compliant material data pipeline that reduces risk and administrative cost.

This workflow directly targets the costly administrative bottleneck of manually chasing suppliers for mill test reports (MTRs) and certificates of compliance (C of Cs) after material delivery. By automating solicitation upon delivery receipt and verifying documents against project specs, it ensures material traceability, prevents non-compliant installations, and reduces quality team labor by 60-80%. The architecture must integrate with procurement systems (e.g., Procore, Oracle), supplier portals (often API-less), and quality documentation platforms, using browser agents to navigate fragmented external systems.

Implementation requires a stateful orchestrator (e.g., LangGraph) to manage the multi-step, conditional flow across systems. Key controls include human-in-the-loop routing for non-compliant documents, digital signatures for audit trails, and phased rollout starting with high-value structural materials. The result is a closed-loop data pipeline that reduces risk, accelerates quality release, and creates a single source of truth for material compliance, directly linking procurement, quality, and field operations.

This workflow directly targets the costly administrative bottleneck of manually soliciting, chasing, and validating material certifications. Upon delivery, an orchestration layer automatically triggers requests via email or supplier portal bots, ingests returned PDFs, and uses document AI to extract key values like grade, heat number, and yield strength. It then cross-references these against project specifications in platforms like Procore or BIM 360. The operational upside is a 70-80% reduction in quality admin labor, faster material release for installation, and a defensible, searchable audit trail for future claims or recalls.

Implementation requires a resilient architecture built on frameworks like LangGraph to manage state across the multi-step process. The system must handle poor-quality scans, missing data, and supplier non-response with automated escalation and clear human review queues. Integration points include procurement systems (e.g., Oracle, SAP), document management (Procore, Aconex), and quality platforms. Critical controls include confidence scoring for extracted data, approval gates for non-conformances, and immutable logging for auditability, ensuring the automation enhances—rather than compromises—material governance.