ai agents for insurance

Regal is an AI Agent Platform built for insurance companies that need to scale their highest-volume conversations without adding headcount. AI Agents handle lead qualification, abandoned application re-engagement, claims inquiries, and policy renewals, 24/7, with no hold times. When a conversation requires a licensed agent, Regal routes immediately with the full transcript attached. Customers like Kin Insurance, Ethos, and Embrace Pet Insurance run their outreach and support operations on Regal.

Most insurance leads go cold because follow-up is slow or inconsistent. AI Agents respond to new leads in 0 seconds, ask qualifying questions in natural conversation, and route ready buyers to licensed agents with full context from the call. That consistent speed and coverage is how Regal customers see 4x faster speed-to-lead and meaningful increases in bind rate, without expanding their sales teams.

Yes, and this is one of the most important design decisions in an insurance AI deployment. Regal AI Agents are built to recognize when a conversation requires a licensed agent, whether by conversation context or explicit customer request, and transfer immediately. The human agent receives the full call transcript at the moment of handoff so the customer never has to repeat themselves. The handoff is where most AI deployments break down in insurance. Regal's platform is designed specifically around that transition.

Insurance companies on Regal see a 97% containment rate, 80% reduction in cost to serve, 0-second time to answer, and 4x faster speed-to-lead. Customer satisfaction stays above 90% across deployments. Kin Insurance Director of Sales Operations Michael-Rose Sandow said: "Regal allows us to connect with more leads, have more meaningful conversations with those leads, and ultimately convert more leads into paying customers."

Compliance in AI-driven insurance calls comes down to two things: data controls and conversation design. Regal is SOC2, HIPAA, GDPR, and PCI compliant. Agreements with LLM partners prevent them from training on or storing customer data. At the conversation level, AI Agents are configured with the rules of each state they operate in as well as the preferences of the customers. Ethos VP of Sales James Hummer highlighted that Regal lets his team "test, stay compliant, and improve results at every stage."

The answer is AI Agents on high-volume, lower-complexity calls, with humans reserved for the conversations that require them. Regal customers see an 80% reduction in cost to serve while maintaining 90%+ CSAT. The key metric is containment rate: how many conversations the AI Agent resolves without needing a human. Regal customers average 97% containment, which means human agents spend their time on the calls where they actually add value.