AndesOps AI: Multi-Agent Tender Intelligence

Overview Public procurement in Chile (Mercado Público) involves thousands of documents with complex legal and technical requirements. For most companies, analyzing these opportunities is slow, risky, and expensive. AndesOps AI solves this by deploying a "Virtual Board of Experts"—an agentic workflow that processes tenders in seconds. The Solution: The "Expert Round Table" Unlike simple RAG systems, AndesOps AI uses an Agentic Orchestration Layer where specialized AI agents collaborate: ⚖️ Legal & Compliance Agent: Scans administrative bases for critical deadlines and compliance gaps. 🏗️ Technical Architect Agent: Evaluates the feasibility of requirements against the company's stack and experience. 📊 Strategy & ROI Agent: Calculates potential profitability and competitive risks. 🧠 Orchestrator: Consolidates findings into a Strategic Fit Score (0-100) and a professional report. Technical Stack & AMD Integration Backend: FastAPI (Python) with asynchronous parallel agent execution. Frontend: Next.js 14 + Tailwind CSS (Enterprise-grade UI). AI Engine: Multi-agent system designed to run high-performance inference. AMD Advantage: Optimized for AMD Instinct™ GPUs using ROCm. By leveraging AMD's massive memory bandwidth, AndesOps AI can process hundreds of pages of bid documents simultaneously, providing near-instant feedback for time-sensitive public bids. Business Value 90% Reduction in manual analysis time. Risk Mitigation: Early detection of "hidden" legal requirements that could lead to disqualification. Increased Win Rate: AI-driven proposal drafting that highlights the company's competitive advantages. 4. Technology & Category Tags (Etiquetas) AI Agents Agentic Workflows ROCm AMD Developer Cloud FastAPI Next.js GovTech Llama-3 5. Submission Checklist (Criterios de Evaluación) Application of Tech: Mention that the project is built to leverage ROCm for high-throughput document processing. Originality: Emphasize the "Expert Panel" approach over a single-agentchatbot