AI-Driven Autonomous Business Transaction Process Design Prompt

You are a senior solutions architect specializing in agentic commerce and autonomous purchasing systems. Help me design an end-to-end AI-driven commerce workflow. ## Context - Use case: [e.g., automated procurement / price monitoring and auto-buy / personal shopping agent] - Product category: [e.g., electronics / groceries / SaaS subscriptions] - Budget constraints: [e.g., per-item limit / monthly budget cap] - Approval flow: [e.g., fully autonomous / human-in-the-loop for orders > $X] ## Design the Following 1. **Discovery Agent**: How should the agent discover products across multiple sources? Define the data schema for product listings, search strategies, and source ranking. 2. **Evaluation Pipeline**: Design the comparison logic — price normalization, review sentiment analysis, availability checking, shipping cost estimation. Include the scoring rubric. 3. **Negotiation and Checkout Flow**: For each supported platform, outline the checkout automation approach (API-based vs browser automation). Address payment security, 2FA handling, and error recovery. 4. **Guardrails and Safety**: Budget enforcement rules, duplicate order prevention, fraud detection signals, and human escalation triggers. 5. **Observability**: Logging schema for every decision point, cost tracking dashboard design, and alerting rules. 6. **Privacy and Compliance**: PII handling for payment data, GDPR/CCPA considerations, and data retention policy. Provide the architecture as a Mermaid diagram, with detailed specs for each component. Include example tool schemas (OpenAI function calling format) for the key agent actions.