Hello Patient is HIPAA compliant, SOC 2 Type 2 certified, and signs a BAA with every client. Your agents run on the protocols and escalation rules your team approves, handle protected health information under your policies, and log every interaction so there's a record of what was said. Clinical questions and anything outside an agent's scope go to the right person on your team rather than getting answered by the agent.

Whether you're running one location or a hundred, the compliance floor and the escalation behavior are the same on every conversation.

Applies to: primary care, urgent care, ENT, ophthalmology, orthopedics, dermatology, billing and RCM, consumer health

The companies that benefit most from Hello Patient's conversational AI are consumer health, telehealth, digital health, and direct-to-consumer healthcare brands. These include prescription-based DTC telehealth (GLP-1, ED, hair, and hormone therapy), subscription mental health platforms, virtual specialty care across women's health, PCOS, menopause, metabolic, and nutrition programs, at-home lab testing memberships, wearable and virtual coaching subscriptions, and supplement brands with a consult layer.

Hello Patient's agents handle voice, SMS, and web chat. They start and handle real conversations at the moments where the member journey usually stalls: unfinished quizzes, intake drop-off, activation, engagement, churn, and members who have gone quiet.

Your agent improves conversion by answering the questions automation can't: cost, eligibility, dosing, ingredients, scheduling. Your agent sees where a member stopped in the funnel, answers the specific question that stalled them, and sends a personalized resume link into the same thread.

Members don't reply to an automated message that doesn't feel relevant. They reply to one that meets them where they actually are, whether that's stuck, unsure, or quiet for too long.

Found Health saw a 140% lift in conversions over their prior one-way SMS re-engagement, recovering 4,739 stalled signups across a 92,290-lead program in 16 months.

Your agent works alongside your existing marketing automation (Braze, Iterable, Klaviyo, Customer.io) and also works without it.

When you have a lifecycle stack, your agent plugs in via webhooks and your CDP, so the sequences you already run keep running. Your agent adds the conversation layer around them, handling the moments those tools weren't designed to handle: the open-ended question, the silent member, the lapsed one who needs a real reply. When you don't have a lifecycle stack, your agent runs standalone, using your CRM, EHR, or member database directly to start and handle real conversations across SMS, voice, and web chat.

Tools like Braze, Iterable, and Klaviyo are built for scheduled sequences, and they do that well. What they can't do is carry on a real conversation, ask a follow-up question, or pivot when a member asks something the script didn't anticipate. Your agent handles those moments either way.

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Your agent follows the rules your team sets. It answers approved questions about eligibility, program fit, next steps, and common member concerns. When a question falls outside those rules (dosing changes, side-effect concerns, prescription issues, or anything that needs clinical judgment), your agent escalates it to a real person on your team.

Your agent is HIPAA-compliant by design and operates under your BAA, never gives medical advice, and logs every interaction for review. Across consumer health programs, agents handle 70–80% of routine inbound questions on their own, so your team spends more time on the work that needs them.

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Most clients go live in about six weeks. Found Health went live in under three. Deployment doesn't require your engineering or IT teams. The first two weeks are protocol mapping and content tuning with your lifecycle, growth, and medical staff. The next two weeks are spent on establishing integrations with your CRM, EHR, and lifecycle stack, plus conversation testing. The last two weeks are pilot testing with real members, then going live across the funnel stages you care about. The actual timeline depends on protocol complexity, integrations, and how quickly your team can review and approve workflows. There's no new software to learn. Mia operates inside your existing workflow.

Mia is priced on a usage-based model that scales with conversation volume across SMS, voice, and web chat. What it actually costs depends on your funnel size, your inbound volume, and how much of your outbound program runs through Mia versus your existing workflows. Bring your funnel numbers to a call, and we'll model what Mia would cost for your specific program.