Vedant Kulkarni@vedantkulkarni691

ProcureMind Nexus is an autonomous multi-agent procurement intelligence network. It transforms enterprise procurement from a manual cost center into an AI-driven competitive advantage. THE PROBLEM: Mid-market companies waste $1M-$5M annually on slow RFx cycles (14-21 days), 15-25% invoice exceptions, 5-12% maverick spend, and compliance gaps. Procurement teams spend 60-70% of their time on transactional tasks instead of strategic negotiation. OUR SOLUTION: Five specialized AI agents - Scout, Analyst, Negotiator, Compliance Guardian, and Payment Executor orchestrated by a central LangGraph hub with shared state persistence. The Scout discovers qualified European suppliers in under 2 hours. The Analyst reads 100-page contracts in 30 seconds, scoring risk 0-100. The Negotiator drafts RFQs and optimizes deals automatically. The Compliance Guardian enforces EU AI Act Article 14 human-in-the-loop governance with SHA-256 hash-chained immutable audit trails. The Payment Executor tracks budget consumption and generates payment authorization requests. KEY INNOVATIONS: (1) Multimodal contract analysis using Gemini's extended context for PDF parsing, image invoice extraction, and voice queries via Speechmatics. (2) Real-time treasury dashboard with spend analytics and supplier scorecards. (3) Built-in EU AI Act compliance by design not bolted on. (4) Human-in-the-loop governance with configurable auto-approval thresholds. TECH STACK: Python 3.11 + FastAPI backend, vanilla JS SPA frontend, SQLite with pgvector, Google Gemini 2.5 Pro/Flash, LangGraph orchestrator, Speechmatics voice API, deployed on Render. METRICS: 60% faster RFx cycles (14 days → 2.3 days), 90% fewer invoice exceptions, <1% maverick spend, 95% reduction in human approval burden (100% → 5-10% strategic only), <€25 cost per order vs €150-400 manual baseline.

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