You are helping me build the following AI agent workflow. ## Goal Service Order Fulfillment with SLA Escalation: Automates service orders from webhook to supplier confirmation with Stripe payment checks and 4-hour SLA escalation. ## Specification - What it does: You receive instant confirmation when service orders move from booking to supplier approval after your Stripe payment clears. The system extracts order details using an LLM and updates your Freshworks CRM while automatically escalating any delays past the four-hour SLA window via Postmark. - Trigger: Triggered by an event (Event ยท on new booking webhook) - Autonomy: Fully hands-off - Expected setup effort: under an hour - Tools/services involved: - Webhook: Receive incoming service orders - Stripe: Verify payment before processing - Anthropic Chat Model: Extract and structure order details - Freshworks CRM: Upsert customer and create deal - Postmark: Send confirmation emails to customers and suppliers ## Known pitfalls, handle each one explicitly in your implementation 1. LLM extraction may miss critical details if the prompt is too vague, so include explicit field definitions and examples in your system prompt. 2. SLA timers must start only after successful payment verification to avoid escalating orders that are still pending approval. ## Reference implementation https://n8n.io/workflows/14164 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automate-service-order-fulfillment-with-sla-escalation/ via usecasesforagents.com