Regal AI introduces Copilot to build self-developing AI agents

Regal Voice Inc. today announced the launch of The pilotwhich will allow companies to build and deploy automated voice agents that they develop over time without the complexity of information and engineering.

According to the company, the new driver takes what would require days or weeks of engineering time and compresses it into hours and days, using existing business logic. AI agents then learn and evolve from customer conversations using best practices, quick, intuitive testing and flagging inefficiencies to quickly pivot to what works.

Regal’s roots are in AI contact center operations. The company says it fully understands the needs of customer service and when high contact is required to use voice. The company ended up going up $40 million at the end of 2024, which brought the total revenue of $83 million.

Field agents handle millions of calls, Regal said, allowing the operator to start teams quickly. Flight Assistant lowers the learning curve so a business can have a working voice agent during the day, allowing the team to create monitoring routes, chat flow and tune handoffs like professionals. With access to corporate culture, data and anything else the team can throw at it, it can quickly put together a brand style and tone up front and start developing out of the box.

This allows teams to start with a simple voice agent if they choose. Maybe they don’t want something that does everything; instead, they just want a voice agent who does FAQs, handles delivery status, changing addresses, pausing and canceling deliveries.

Production teams can also use Copilot to modify the basic system, add features and change the way it works. Regal explained that Copilot not only works with the team to help with best practices, but also asks clarifying questions, emphasizes the design to keep it within the framework and stress tests the design before shipping.

It will even show its work, show the thinking so that the team can direct the structure and get the final product they want quickly. Once deployed, it analyzes the outcome of calls, including sentiment and closure. It can also use AI-driven methods to help with new use cases such as social interaction, expanded coverage and additional monetization opportunities such as personalization and regional trends.

Regal added that Copilot will recommend adjustments to the team based on what it learns as it works, explaining its reasoning and why it will help from real-world call logs and the “experience” of agents with human customers.

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