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Regal has added Goal Oriented Agents to its voice platform, pairing a quick-response “actor” model with a “director” model that checks progress and decides when a call should move to its next stage. The aim is to gather what a caller has already said without marching through a rigid checklist one box at a time.
Why it mattersBusinesses define goals and prerequisites for each stage. In Regal’s example of an insurance claim, one caller’s opening account covered the damage, photos and injuries, so the agent marked those details collected and moved on to what was still missing. SiliconANGLE reports that Regal sees complex intake and qualification calls as a strong use case. That is a specific design for AI agents in customer service, though the article provides no measured results from deployments.
Discuss: Should voice agents be allowed to steer a conversation this way, or should businesses favour simpler, more predictable scripts?
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