AI 1st Procurement Modernization with Multimodel

TAI-Agnostic Procurement Platform – Azure Reference Architecture

1. Interaction Layer

• Supplier Portal

• Buyer Portal

• Mobile App

• Procurement Cockpit

• API Gateway (Azure APIM)

2. Orchestration & Intelligence Layer

• Spring Boot AI Orchestrator

  • Model routing policy

  • Business rules engine

  • Responsible AI checks (bias, toxicity, hallucination detection)

  • Contract workflow orchestrator

• Prompt Guardrails

  • Input validation

  • PII masking

  • Policy injection

• Output Validation

  • Hallucination check

  • Consistency scoring (cross-model check)

  • Safety filters

Intelligence Layer (AI-First)

• Contract Intelligence

  • Auto-summary

  • Clause detection

  • Risk scoring

  • Version comparison

  • Redline suggestions

• Supplier Risk Intelligence

  • ESG model

  • Fraud anomaly detection

  • Financial stability prediction

• Invoice Intelligence

  • OCR extraction + PO match

  • Fraud/inconsistency detection

  • Duplicate invoice prediction

• AI CoPilot for Procurement

  • “Draft RFP”

  • “Summarize supplier performance”

  • “Generate negotiation strategy”

  • “What are top risks in this contract?”

3. Multi-Model Engine (AI Model Hub)

All models run behind private networking.

• Azure OpenAI (GPT-4o, GPT-4 Turbo)

• Anthropic Claude (via Azure Marketplace Private Connector)

• Gemini (via Google Vertex → Private endpoint / API via APIM)

• HuggingFace Models (Azure Containers + AKS)

• Llama 3 / Mistral (self-hosted on AKS with GPUs)

Model Selection Policy

• Reasoning → GPT

• Policies → Claude

• Multi-modal → Gemini

• Classification → HF

• Sensitive low-cost → Llama/Mistral

4. RAG + Knowledge Foundation

• Azure Cognitive Search (vector + keyword fusion)

• Postgres + pgvector (embeddings)

• Azure Blob Storage (documents)

• Document pre-processing (Azure Form Recognizer)

5. Data + Integration Layer

• Supplier master data (MDM)

• Spend analytics warehouse

• Contract repository

• Invoice data lake

• ESG ratings APIs

• ERP Integration (SAP, Oracle)

6. Responsible AI & Governance

• Bias testing suite

• Explainability layer

• Audit logs (immutable)

• Red team / alignment checks

• Model performance dashboard

• Hallucination scorecards

• Supplier onboarding: Weeks → 2–3 days

• Contract cycle time: ↓ 30–40%

• Compliance accuracy: ↑ 95%+ with RAI guardrails

• Spend savings: 35–45% across categories

• SLA adherence: ↑ 25–35%

• Data quality improvement: ↑ 50–60%

• Manual effort reduction: ↓ 60–70%