AI Customer Support: Billing Dispute Resolved in 14 Minutes | ElixirClaw
Автор: ElixirClaw
Загружено: 2026-10-15
Просмотров: 2
Описание:
AI customer support that resolves a double-billing complaint in minutes instead of days. See how agents triage, find the root cause and refund a customer 45 days before renewal, with a manager approving the refund.
Holler Retail reports being charged twice for October, its second billing issue this year, 45 days before renewal. The triage agent scores the ticket 86 out of 100 and replies in 8 seconds, the resolution agent traces two paid invoices to a plan migration job, and the account action agent voids the duplicate, while the $4,860 refund above its $1,000 limit waits for the support manager.
A support orchestrator in ElixirClaw runs triage, resolution, communication, quality and account action agents over an ElixirData context graph built from tickets, accounts, billing and product data, with tools from MCP servers and skills from ElixirHub. An authority boundary on the refund tool requires approval above $1,000, and AgentOps scores, red-teams and traces every agent. Resolved in 14 minutes, not three days, with a five-out-of-five rating, the root cause sent to billing, and 312 more double-charged customers found before they call.
Chapters:
0:00 A Frustrated Customer Before Renewal
0:12 Why Support Answers Take Days
0:50 Agentic Customer Support on Elixir
1:30 The Double-Charge Ticket
2:55 Resolved in 14 Minutes
3:43 How It Was Built
5:00 AgentOps and Red Teaming
ElixirClaw is the enterprise agentic OS, built on XenonStack's Elixir Platform: AI agents that work on your enterprise context from ElixirData, connect to your systems through MCP, act within decision boundaries you set, and keep a person in the loop for every high-risk step, with AgentOps tracing and evaluating every decision.
Book a demo: https://elixirclaw.ai
Context OS: https://elixirdata.co
More from XenonStack: https://www.xenonstack.com
Watch the full playlist: AI Agents for Customer Operations
#ElixirClaw #AIAgents #AgenticAI
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