OpenClaw for Support Teams: Run a Customer-Facing AI Agent That Doesn’t Lose Context

Is repetitive, structured, and high-stakes. Most AI setups fail at exactly those properties. Here’s a configuration that doesn’t. is one of the most demanding environments to deploy an AI agent in. Not because the questions are hard - often they aren’t. But because the cost of getting it wrong is visible and immediate. A customer who receives a confused or contradictory response notices. A ticket that loses context between an agent handoff and a reply has real consequences. An operator who can’t reconstruct what the agent said three days ago in an escalation is in a difficult position.