A double-click on Infinitus Agentic Response Control (ARC)
Ask most vendors how their AI agent handles a sensitive question, and you’ll get one of two answers. Either the agent is fully scripted, which means it’s safe, but rigid; or it’s fully generative, which means it’s flexible, but unpredictable. In healthcare, neither answer is good enough on its own.
That’s because almost every healthcare interaction carries clinical content, whether it arrives by voice, text, or chat. A call to confirm a prescription is ready for pickup can become a clinical interaction. Same with a refill reminder or a routine check-in. The clinical content isn’t always the reason for the call, but it’s rarely absent from it.
A fully scripted AI agent can’t handle a question that falls outside of the script. But a generative agent can’t guarantee it will say the right thing when the topic shifts between an administrative question, a regulated specialty therapy, a clinical instruction, or an emergency. For compliance and clinical quality teams, that’s the only thing that matters.
We built Agentic Response Control, or ARC, because we don’t think healthcare should have to choose.
One call, two very different questions
Picture a call between a patient and a specialty pharmacy. It’s simple enough to tell a patient their prescription is ready for pickup. But what if they have questions outside of that? “Where do I park?” “Can I take this with my blood pressure medication?”
The first question has no compliance risk. Any reasonable answer works, and the agent can respond conversationally, generating an answer from context the way a person would.
The second question is the one patients usually save for a pharmacist, because it feels like the kind of thing you should ask a real person. But what if the pharmacist doesn’t know either? It’s not because they aren’t qualified, but because the interaction between a specialty medication and a common maintenance drug isn’t something they’re likely to have memorized, and looking it up mid-conversation isn’t always fast or consistent from one pharmacist to the next.
This is exactly where an AI agent has to prove it knows the difference between a question with no wrong answer and a question where an improvised answer could cause real harm. And perhaps just as importantly, knows when the right answer is to bring in a person.
ARC isn’t just a filter for what the agent can say, it’s the harness that tells the AI agent the difference in what the patient is asking for, in real-time, mid-conversation. Built on the same human-in-the-loop architecture behind every Infinitus agent, AI orchestrates the conversation end to end, but the moments that call for judgment get routed to a person, with full context already attached so nothing gets lost and nothing needs to be repeated.
How ARC decides
ARC continuously monitors the conversation for topics that carry compliance, clinical, or safety weight.
Answers that require regulated responses, like compliance statements, dosing information, or prescription therapy information, are delivered verbatim. If a question is posed outside the agent’s scope, ARC does not generate an unapproved response.
Clinical answers are pulled from client-approved knowledge sources, never generated from general model knowledge.
Any signal that looks like a clinical or emergency triggers proper escalation, following the industry-standard call prioritization index that standard clinical teams use for triage.
Anything outside the agent’s permitted scope skips generation entirely. ARC returns a polite decline instead of letting the model attempt an answer it isn’t equipped to get right.
The moment that topic changes, the agent shifts back to natural, flexible conversation. No handoff, dead air, or a “let me transfer you.” The patient just experiences a helpful conversation that happens to get careful exactly when it needs to.
Why this matters more than it sounds like it should
Every healthcare conversation has moments where the cost of being wrong can vary. Getting parking directions wrong is a minor annoyance. Getting a dosing interaction wrong is a patient safety event.
Most AI systems apply one operating model to the entire conversation, which means they’re either too rigid for the easy moments or too loose for the hard ones. ARC applies the right mode to the right moment: when a topic requires exact, regulatory-grade language, ARC doesn’t ask a model to generate a response at all. Instead, it retrieves your approved language directly and delivers it verbatim, removing the risk of hallucination before it can happen. That’s the only way to give patients a natural experience without asking your compliance and clinical teams to accept unacceptable risk.
Patient experience and compliance don’t have to be in conflict. They just need an agent that knows which one the moment calls for. If you’d like to see the platform in action, get in touch. The care exists. We’ll show you how Infinitus can help you make sure patients receive it.
