ai agents for healthcare

Yes. Regal is SOC 2 (Type 2), HIPAA and PCI compliant.

Yes. One of the most important roles Regal plays is making sure it is safe for enterprises in regulated industries to deploy generative AI agents. We combine SOC 2, HIPAA, and PCI controls with AI-specific safeguards: zero data retention agreements with all LLM partners, global guardrails that constrain agent behavior and post-call AI supervision on every conversation.

Regal is built with privacy and security in mind. We are SOC2 (Type 2), HIPAA and PCI compliant. Regal stores data in the AWS cloud and all data is encrypted in transit and at rest. Additionally, all our agreements with AI Tools like LLMs require them to have zero data retention. And we have the ability to commit to US data residency and US employee data access where required by specific industries.

No. Our agreements commit that the AI Tools like LLMs have zero data retention and do not train on your customer data.

Regal AI Agents are built with the ability for the agents to prevent hallucinations. First, agents can say, “I don’t know”. Second, Regal has global guardrails that limit unwanted conversations. But we still take a “trust but verify approach”. Yes, there is post call Conversation Intelligence. Every call is recorded, transcribed, and QA’ed by an AI supervisor. Optional human-in-the-loop review ensures accuracy, compliance, and continuous improvement.

Regal handles inbound and outbound voice, SMS, and chat across the patient journey: appointment scheduling and reminders, no-show recovery, new patient intake, eligibility and benefits questions, prescription refills, post-discharge follow-up, lead qualification for elder care or specialty services, and surgery prep calls. Regal is designed to handle the messy reality of healthcare contact center work, like a patient who calls to reschedule but also wants to update an address and confirm a copay, all in one conversation. The AI agent picks up context, branches naturally, and hands off to a human when the situation calls for it.

Yes. AI voice agents reduce no-shows by calling patients ahead of appointments, confirming details, offering easy rescheduling when a patient cannot make it, and following up after missed visits to get them back on the calendar. Healthcare teams that automate reminder and confirmation calls typically see no-show rates drop 25% or more. Regal's omnichannel design means a patient can be reminded by voice, SMS, or email depending on what they prefer, and the agent recognizes the response across channels rather than treating each one as a separate contact. The result is fewer missed visits, less staff time spent on manual reminder calls, and better appointment utilization.

It depends on what your team optimizes for. Some healthcare customers come in focused on cost: cutting cost-to-serve, freeing up agent capacity, reclaiming hours spent on manual outreach. Others come in focused on revenue: more appointments booked, faster lead conversion, fewer no-shows. Most end up tracking patient experience metrics too, like CSAT and time-to-answer. Regal customers in healthcare report 97% containment, 80% reduction in cost to serve, zero seconds time to answer, and 4x faster speed to lead.