Regal Voice, an enterprise voice AI firm, has added Goal Oriented Agents to its platform. Instead of scripting every branch of a call, a business states what the call must achieve, and two AI models share the work. Regal announced it on 27 October.
The pair are an actor and a director, and both start as soon as the caller stops talking. The actor is a smaller, faster model tuned for dialogue, so it replies at once. The director runs behind it, checks whether the current stage's goals are met, and can move the call to a new stage with fresh instructions for the actor.
Agents are built from goal nodes, each listing goals to meet by its end and prerequisites to settle first. A prerequisite can be a plain-language condition, like a caller mentioning a death in the family. The director reviews progress after every turn, so one answer can satisfy several items. In Regal's sample insurance claim, a caller covers damage, photos and injuries in his first message, and the agent then asks only for what is missing.
About Regal
Regal, formally Regal Voice Inc., is a venture-backed enterprise voice AI company that sells AI phone agents to contact centers. It says it serves more than 200 enterprises, among them Google, AAA and Toyota, and has raised $83 million.
This is not its first push on the product. It announced a $40 million round on 30 October 2024, with Emergence Capital among the investors, to speed the rollout of its agents; the platform was then powering more than 10 million customer interactions a month. In April 2026 it launched Copilot, a builder that turns a description of what an agent should do into a plan and an implementation, with testing and monitoring included.
Regal says conditional-logic agents often re-ask for details already given, and single-prompt agents follow processes only loosely. It names Medicare enrollment, roadside assistance and mortgage qualification as uses it opens up, and says it serves over 200 enterprises, including Google, AAA and Toyota.
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