The Infinitus AI-first hub solution: Healthcare’s first AI-native, human-backed patient support model

With Infinitus’ AI-first, human-backed hub solution, AI agents absorb routine work around the clock, while human experts own every judgment call and the moments where the human touch is needed.

Traditional hub services optimize people around work. In that model, a person receives a task, completes it, and moves it to the next queue. That model was built for a different era, one with fax machines, hold music, and monthly call audits. It wasn’t built for what patient support actually needs now.

Up to 40 percent of patients prescribed a specialty therapy never start it. Not because the medicine fails them, but largely because the process does: one slow callback, missed handoff, or manual verification at a time.

Today, we’re introducing the Infinitus AI-first, human-backed hub solution, built as an operating model from the ground up, not a legacy hub with AI features layered on top. It puts the people on your program first: AI takes on the manual, repetitive tasks, and human expertise goes exactly where judgment, empathy, and relationships matter most. 

How the AI-first hub solution works

Traditional hub economics run on a simple formula: more work means more people, and more people means more cost. Vendors built that way have little incentive to change it. The AI-first hub solution runs differently. AI absorbs demand first, which minimizes how much incremental staffing a surge actually requires. Customers pay for outcomes and work performed, not for headcount.

Enrollment forms move straight into your system of record. AI agents contact patients or providers for any missing information before a therapy start is ever put at risk from waiting on paperwork. Time to therapy is cut by two thirds.

Most coverage checks run electronically and return in minutes. When necessary, AI agents complete a full benefit verification by calling payors directly, so no patient’s coverage check stalls. Copay eligibility and prior authorization status are tracked continuously from there, so your team and your patients know where things stand without waiting on a callback.

Questions don’t need to wait for business hours. AI agents can respond 24/7 using MLR-compliant, pre-approved content, and automatically detect and route potential adverse events for handling. Providers and field reimbursement teams get the same always-on support as patients, medication delivery stays coordinated with specialty pharmacies, and adherence reminders help patients stay on therapy instead of quietly falling off.

Routine interactions are automated, but decisions that require clinical awareness or personalized support can be handled by Infinitus’ trained human experts. AI helps patients move faster – without ever removing the relationships or human expertise they depend on.

When a situation needs a person, the hand-off happens instantly, with full context already in hand. After-hours conversations are summarized so nothing gets lost overnight. And patients don’t need to start every conversation by repeating the same story they’ve already told countless times.

Full visibility into conversations helps you catch problems while they’re still small enough to be acted on quickly, instead of buried in a report that gets delivered a month later. Every interaction, whether led by a human or AI, is audited, scored, and visible the same day, so you can identify trends before they lead to problems. 

The problem was never a missing feature

Every major hub vendor has added some form of AI over the past few years: a chatbot here, a summarization tool there. None of it changes the underlying model of people doing manual, repetitive work at a volume that frequently leads to mistakes and delays. 

A benefit verification that should take minutes can take days because it’s waiting in a queue behind hundreds of others. A patient with a question after 6 p.m. gets voicemail, and may not receive a call back until the next week. A prior authorization denial sits unnoticed until someone happens to check on it.

These aren’t edge cases. They’re what the legacy hub model produces by design, and they’re a large part of why so many patients never make it from prescription to first fill, and why even those who do often have a negative experience.

Why not just hire for this?

If the goal is a dedicated, badged team member who knows your program inside and out, why bring in a vendor at all?

Because the choice isn’t AI versus a person, it’s what one person, however good, can actually do alone. A single hire can work one case at a time, during business hours, and can only act once they know there’s a problem. Add the real cost of that hire: recruiting, training, ramp-up time, and the dip in quality that comes with anyone new to a program while they’re still learning it. 

An AI-first hub works differently. When an enrollment comes in missing information, an AI agent doesn’t wait for someone to notice and follow up, it calls the provider’s office directly, that day, to close the gap. That happens at the same time as hundreds of other enrollments are moving through the same process, around the clock, not queued behind whatever your one hire is already working on.

That’s not a replacement for having good people on your program. It’s what makes your people more effective once they’re on it. An AI-first hub doesn’t ask you to choose between a dedicated team and AI. It’s what makes a leaner, more experienced team capable of covering more ground than a larger one could on its own.

Still human where it counts

It’s important to note that Infinitus’ AI-first hub solution doesn’t remove people altogether, but instead ensures they are no longer buried under the work that shouldn’t have needed them in the first place.

AI agents handle the high-volume and low ambiguity work: intake, status checks, routine questions, refill reminders. Every one of the tasks that AI absorbs is one less hurdle standing between a case manager and the patient who actually needs them.

Human experts own everything else. A denial that needs an appeal strategy. A patient who’s scared and just wants to talk to a person. A clinical question that falls outside pre-approved content. An exception that doesn’t fit the standard workflow. These are the moments where a person’s judgment isn’t a nice-to-have, it’s the whole point, and our solution is built to recognize them and hand them off immediately. And all patient and provider interactions are handled by a live, US-based team member.

The hand-off is the part most AI bolt-on hubs get wrong. A cold transfer means the patient repeats themselves to someone who’s starting from zero. Infinitus agents carry full context into every hand-off, and summarize after-hours conversations so a case manager picks up exactly where the agent left off, not from scratch. The result is a model where AI handles more of the volume, and people spend more of their time on the moments that actually need them.

This isn’t a model built by a technology company guessing at how hub operations should work. Infinitus’ operational leadership has decades of experience running large-scale hub and call center programs themselves, and knows firsthand where those models break down: the escalation paths that get missed, the handoffs that lose context, the queues that quietly become the biggest risk to a patient starting therapy on time. That experience shaped where the line between AI and human judgment actually sits in this model, not as a theoretical design choice, but as a lesson learned from running the legacy version of this job.

That’s the trade this whole model is built on: replace the queue; keep the person. Stay human when it matters.

If you’re interested to see what the AI-first hub solution could look like for your program, reach out to us to schedule time to discuss.