AI support agents trap users in 'doom loops' with no guaranteed escape to a human

Summary

Users contacting customer service are increasingly routed into AI chatbots/voice agents that loop endlessly: the bot misunderstands the intent, re-asks the same questions, offers only canned answers, and provides no visible path to a human agent. Users describe actively hating having to call support because they know they will be 'stuck with an AI agent.' The frustration is severe enough that regulators (e.g., New York City) are moving to fine companies that trap people in these 'doom loops,' signaling this is a widespread, unresolved failure rather than an edge case. Why it's still unsolved: today's conversational-agent builders optimize for deflection and containment rates, so escalation to a human is treated as failure and is often hidden, gated behind repeated prompting, or unavailable outside business hours. Most platforms give creators no first-class primitives for confidence detection, loop detection, intent-failure handoff, warm human transfer with full conversation context, or a one-tap 'get me a person' guarantee. The result is agents that damage brand trust instead of helping — a direct, high-pain gap for anyone building customer-facing conversational agents (the exact audience for a multi-modal agent creation platform). Buyers would pay real money for a builder that ships trustworthy agents with configurable escalation, loop guards, and auditable handoff, because the alternative is regulatory fines and lost customers.