Launch
Updates
Launch: Novoflow’s AI employees
Jan 3, 2026

We gave the world's smartest AI a pair of eyes, a voice, a mouse, and a keyboard.
If you're running a clinic on a legacy EHR (one that isn't browser-based, doesn't have open APIs, or wasn't designed for third-party integrations), you've probably been stuck across your entire admin & ops. Every vendor with a neat product requires API access or asks you to migrate systems. That's months of engineering work (if it's even feasible).
For six months, our founding team of 6 amazing builders created something that doesn't exist anywhere—not in healthcare, not in any industry. We built a virtual employee that operates real-time tasks at the interface level, just like your staff does.
What we've shipped
We deployed to our first customers who needed this solution. Three workflows are now live in production.
Cancellation Recovery. Every late cancellation costs a practice lost revenue, and most clinics see 10-20% cancellation rates. A 10-provider practice can bleed $150K+ annually. The problem isn't that patients cancel; it's that staff can't work the waitlist fast enough. Our AI calls through your waitlist the moment a cancellation hits the EHR, confirms availability, and rebooks directly into your system. Utilization rate, time-to-fill, and revenue is all recaptured.
Inbound Appointment Scheduling + Screening. 30% of callers won't leave a voicemail; instead calling the next clinic. Especially for smaller practices where peak call times such as lunch and evening are left unstaffed, having a first-responder readily available yields high impact. We deployed workflows where AI picks up the phone at any hour, talks to patients in real time, navigates the scheduling UI, and books.
Outbound Physician Referral Scheduling. Up to 50% of referrals never convert into scheduled appointments. We’ve seen patients needing to be called over a dozen time before being reached. The bottleneck is volume and coordination across departments. Our deployed workflow pulls referral data, reaches out to patients, confirms eligibility, and schedules follow-ups without manual handoffs. Referrals that have been in a queue for weeks are now processed the same day.
With these employees running in production, handling real patient interactions, we’re learning more and more every day. This is only the tip of the iceberg when it comes to the impact Novoflow can make on healthcare.
How it works
Novoflow's AI employees are the first "trainable" agents that can handle frontline patient operations while following your clinic's exact protocols.
Here's the technical approach: we don't require you to redefine your workflows in our system. Instead, the AI learns how your current staff executes a process, the same way you'd train a new hire. It semantically maps your workflows and protocols into its embedded reasoning system, pairs them with your existing documentation (SOPs, call scripts, intake forms), and then assumes the role of a worker that already knows how your clinic operates.
Most healthcare AI tools work through APIs, custom integrations, or middleware that sits between the AI and your systems. We don't. Novoflow's AI does exactly what your team does, with its own virtual hands. The AI logs into your EHR through its own service account, navigates screens, clicks buttons, reads and enters data, converses with patients over the phone in real time, and coordinates across departments when a workflow spans teams.
Why this matters: no API dependency. No integration timelines. Works with legacy systems that have no available endpoints. If a human can use the interface, so can Novoflow.
On our HIPAA-regulated security: everything runs on top of your existing EHR environment. Zero data exfiltration. PHI never leaves your systems. We implement highly scoped access permissions per workflow.
What's next
Novoflow's AI employees are improving fast. We're focused on two fronts.
First, integration speed. We're productionizing what we call AI FDEs (Forward Deployed Engineers), which are multi-agent systems that autonomously configure and deploy new AI employees. More on that soon. Our target is to hit across-the-board integration timelines of <1 week. That's 32x faster than comparable solutions that require months of custom engineering per workflow.
Second, scalability across departments. Our tech works like your current teams, excelling at patient-facing operations. But the same architecture applies to other tasks that consume hours every day: prior authorization, billing, and scrubbing. If it's repetitive, high-volume, and requires navigating systems your staff already uses, we can fill that gap. The underlying technology already supports it.
Why Should You Care?
Think of it: 60% of your admin and ops filled. That's a 60% increase in bandwidth.
Clinics don't need software that compensates for broken processes. They need infrastructure that lets them scale. 60% of operational capacity freed up means 60% more bandwidth to see patients, expand services, or reduce burnout.
This is what we mean by hyperscaling: not patching workflows, but multiplying what your clinic can do with the same resources.