video1.0<iframe src="https://www.loom.com/embed/abdc7793d91243618d9bf5117a799bc6" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/abdc7793d91243618d9bf5117a799bc6-f61fa7b6f4705514.gif633.979Walkthrough of an AI Support Decisioning System for customer support operations. The demo shows how the workflow uses LLM-assisted understanding, backend reward signals, deterministic risk and decision rules, LangGraph orchestration, human-in-the-loop review, fallback behavior, observability, and Playwright-based validation. The key idea: use AI for language understanding and response drafting, but keep business decisions controlled by evidence and policy.