
September 2023 Releases
At the AI Summit New York, Regal Director of Product & Product Marketing, Yael Goldstein shared how enterprise organizations are moving beyond theory to deploy Voice AI agents that transform customer experiences.
As large language models have matured, the bar for customer expectations has elevated.
"Every decade, there's been new tech that changes the way we interact with one another. It certainly changes the way businesses interact with their customers,” says Yael Goldstein, Director of Product and Product Marketing at Regal. “At first, we had websites and online marketplaces, then we had social media platforms and apps. And now we have AI agents.”
Customers today won't settle for 30 minutes on hold and generic dialogue. They expect to speak with someone who understands what they're trying to accomplish, remembers who they are, and can take action on their behalf. With Voice AI agents, enterprises can deliver that experience, without sacrificing quality.
The question facing enterprise leaders isn't whether voice AI will transform customer experience. It's whether they'll move fast enough to capture the advantage.
Later in this article, we’ll dive into how eHealth, the largest private health insurance marketplace, worked with Regal to deploy voice AI agents to handle annual Medicare enrollment spikes. Their approach reveals how an integrated, thoughtfully designed agentic workflow can transform capacity, cost, and customer experience simultaneously.
For the last decade, enterprise organizations have known they could reach more customers for less by deploying chatbots and IVR systems. But there was always a painful tradeoff: affordability came at the cost of quality. Organizations got what they paid for: a one-size-fits-all conversation that frustrates customers and fails to build loyalty.
The frustration of legacy automation is universal. A contact center leader describes the typical week; Morale is high Monday morning, your team is ready to crush their targets. By Wednesday, half your sales team is out sick, and your boss wants a 15% cost cut. The business is growing, but you don't have staff to match the volume. Your agents are burning out. Service quality drops. Customers complain. What started as an energized week becomes a nightmare of spreadsheets and impossible choices.
For the first time, there doesn't need to be a tradeoff. AI agents have unlimited capacity, concurrency, and availability. Scaling comes at a click of the button.
Enterprises can now configure Voice AI agents for personalization at every layer, automatically:
All at a fraction of traditional labor costs. But translating this promise into reality requires the right architecture.
eHealth is the largest private health insurance marketplace in America, helping millions of customers compare and access Medicare coverage. During the Annual Enrollment Period (AEP), over 34 million Americans enroll in plans within a compressed window. The seasonal demand creates a difficult staffing equation. In order to meet demand, they hired hundreds of agents in a matter of weeks. Then they'd train these agents on complex Medicare rules, state regulations, and compliance. Training overhead was massive, yet even with aggressive hiring, customers still experienced long wait times.
eHealth's operations team knew they needed a different approach. eHealth launched Alice, a Voice AI screener agent, to manage peak-hour overflow and after-hours calls.
With a scalable agentic workflow, Alice maintained instant response times even at peak demand, executed approved disclosures for compliance, and improved with each iteration.
At scale, this delivered a 100% answer rate with zero wait time for beneficiaries, maintaining exceptional service quality even during the Annual Enrollment Period surge.

A Scalable Foundation. Alice handled overflow and after-hours calls seamlessly, transferring qualified leads to licensed insurance agents in real time with full context preserved. Backed by Regal's dialer architecture with unlimited concurrency and low-latency SIP transfers to eHealth's contact center, the system maintained instant response times even at 100x peak demand.
Compliance Built In. In healthcare, every conversation carries regulatory weight. The AI executes approved disclosures and statements exactly as written, with deterministic prompting and full conversational logging for auditability. Every interaction is traceable by design, giving eHealth the confidence to scale automation in one of the most tightly regulated industries.
Intelligent Testing. Continuous A/B testing on live traffic allowed Regal’s platform to validate changes safely before scaling. Additionally, Regal Improve helped surface actionable intelligence from call data. These tools allowed eHealth to analyze language distribution, top reasons for calling, and performance trends across workflows, helping the team identify where to invest, like expanding Spanish-language support and optimizing plan-switch handling to reduce drop-offs.
Seamless Human Handoff. Alice managed peak-hour overflow and after-hours calls seamlessly, transferring qualified leads to licensed insurance agents in real time with full context preserved. The team introduced cold transfers during peak volume to shorten handle time while keeping AI call summaries rich with context for licensed insurance agents. Human agents were freed from repetitive qualification and dead-air calls.
"Starting from scratch is an enormous undertaking, and [enterprises] want to be taking advantage of this generative AI tech, yesterday.” Yael notes, “We’ve built an all-in-one platform for them and we partner on every step of the process because their success is our success."
Since Alice powered more conversations in less time, eHealth could learn about their customers faster to further improve their experience. The Regal Improve toolkit extracted the top objections and topics that came up in conversation, identified which ones were underperforming, and updated their prompt or Knowledge Base accordingly.
These actionable insights enabled them to create more sensitive handling of callers whose spouses had died, and were able to better distribute their human staffing according to the language distribution of their customers. With this tight feedback loop, operational challenges were turned into product improvements.
The agentic workflow eHealth embedded into their CRM, CCaaS, and custom journeys delivered results that matter: eHealth’s AI agent ensured every after-hours call was answered instantly, earned exceptional ratings, and 27% increased purchase interest compared to human screener agents*.

Together, Regal and eHealth created a foundation that scaled instantly, kept compliance at the forefront, and delivered a faster, more consistent experience for customers.
Listen to Alice here.
eHealth's success points to a broader shift in how innovative enterprise organizations think about customer experience. The old playbook (automate what you can, hire humans for the rest) hits capacity and limits quality. Voice AI inverts that equation: scale quality, don’t sacrifice it.
In regulated industries like healthcare and insurance, human agents must still close certain deals or approve policy changes. Creating seamless collaboration between AI and humans is deceptively complex. Poor SIP integration or CCaaS configuration can tank handoff quality. If data doesn't flow properly from AI to human, customers repeat themselves, leading to frustration and poor impressions of your brand.
This requires investment in the right architecture: real-time data integration, intelligent routing, seamless human collaboration, and continuous agent improvement.
“We found that customers that succeed with these AI deployments have a few things in common. So the first is that they are customer obsessed. They’re looking to improve the bar of customer interactions, not lower it. Second, they are data-forward. And third, they are not afraid to take risks and innovate and play around with this new tech that they’re not that familiar with.”
Yael emphasizes, “For that reason, they’re seeing massive gains across their business operations—from lead qualification to appointment scheduling, payment collections, and more.”
The companies that win are the ones willing to move fast and iterate openly: they don't wait for perfect certainty. Jump in, learn where AI delivers the most value, and where human expertise makes the biggest impact.
Voice AI agents can help you shape exceptional customer experiences today.
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