The only agentic workforce built for healthcare operations from the first line of code.
Most healthcare AI you will evaluate this year is one of three things: AI features bolted onto a legacy platform, a stack of point tools held together with integrations, or a federated suite of acquired products stitched at the data layer. Steer is none of those. Steer is one workforce, agent-first since 2021, running today across 19 million patient lives.
Not a feature. Not a stack. A workforce.
Most healthcare AI on the market today is one of three things. None of them is a workforce. Here is why that matters.
AI features on a legacy platform.
Incumbents (Epic, Meditech, Oracle Health, and the mid-market EHRs) are shipping AI buttons inside products whose architecture was finalized a decade before agent-first was possible. Useful inside the EHR. Not a workforce, and structurally cannot become one.
A stack of point tools.
The voice AI vendor. The digital front door vendor. The reminders vendor. The documentation vendor. The RCM tool. Each solves its slice. None share patient context. The coordination cost is yours to absorb. The integrations are yours to maintain.
A federated suite.
The growth-by-acquisition story. Eight logos, one master agreement. Integrated at the data layer, not the workflow layer. The RFP boxes check. The hallway math does not. Clinicians still have twelve logins. Patients still get three reminders from three systems.
Steer was built from the opposite direction: one reasoning brain. One patient thread. Four agents that were always one workforce.
Four things you will not find anywhere else.
These are not features. They are architectural decisions made in 2021 that would be impossible to retrofit today. Which is why nobody else is retrofitting them.
AI-native from the first line of code.
Steer was agent-first in 2021, not retrofitted in 2024. The platform was never a portal that got AI buttons bolted on. It was never a point tool that got expanded into a suite. Every line of infrastructure assumes autonomous agents, shared state, and human-in-the-loop exception handling.
The difference shows up the first week of deployment: Steer customers go live in three to four weeks, not six to twelve months. Because there is no legacy to wrap, and no monolith to route around.
SteerBrain: the unified reasoning layer.
Every Steer agent runs on SteerBrain, the context-rich reasoning engine trained on over a billion healthcare interactions. It is not a chatbot wrapper on a public LLM. It is a purpose-built reasoning system with clinical rules, payer logic, and operational rails integrated at the model level.
When Luna answers a call, when SteerNotes codes a visit, when Revenue Cycle AI works a denial, they share one brain. Same context, same rules, same memory, same understanding of the patient.
One patient thread. Always.
A call with Luna informs the note in SteerNotes, informs the claim in Revenue Cycle AI, informs the next outbound touch. Context never gets lost at a handoff because there is no handoff. The thread is the primitive.
This is what agent-first architecture makes possible, and what a federated suite cannot do no matter how many integrations it ships. If your data model was finalized before agents existed, you cannot simulate shared agent context after the fact. You can only resell it.
Production scale, not demo scale.
45+ hospital systems. 472 locations. 109 organizations. 19 million patient lives. Six months minimum in production before any outcome appears on our marketing.
When Steer says 88% of calls are booked without a human touch, that is across Prime Healthcare's 45 hospitals, not a pilot with three physicians. When Steer says two to four percent of net patient revenue is recovered in year one, that is in the customer's finance model, not a vendor slide. Production over pilot is not a tagline. It is the filter on every claim we make.
AI-native vs. legacy. Architecture matters.
Most competitive comparisons in this category are feature-for-feature and miss the point. The difference is structural. This is what it looks like in the ways operators actually feel.
Legacy / retrofit
Steer Health
Replace five to eight vendors. Keep one workforce.
A typical hospital system runs five to eight point tools to do what Steer does as one workforce. Each with its own contract, its own integration, its own team to manage, its own data silo. Consolidation saves $710K to $1.7M per year in vendor spend alone, before the operational lift.
Steer Health.
Four agents running on SteerBrain. One patient thread. One contract. One roadmap. One security posture. One bill.
What Steer is not.
Trust compounds. Overclaim erodes it. This is where we draw the line, openly, so your evaluation team does not have to find these in a diligence call.
A replacement for clinicians.
Clinicians sign every note. Complex clinical judgment stays with the clinician. The workforce absorbs the repetitive volume so the clinician can work at the top of their license, not at the bottom of an inbox.
100% automation on every workflow.
Prior authorization is an assisted capability, not full automation. Complex surgical sub-specialty coding needs a coder in the loop. We will tell you exactly where the human stays in the loop, and why. No surprises on day 60.
A wrapper on a public LLM.
SteerBrain is a purpose-built reasoning system with clinical rules and operational rails integrated at the model level. Trained on over a billion healthcare interactions. Not a prompt wrapper. Not a white-label.
Sold on promises we have not shipped.
Every outcome we publish is from a deployment with six or more months in production. No slide outcomes. No pilot outcomes. No demo outcomes. If we have not shipped it at scale, we will not sell it at scale.
Production outcomes across 109 organizations.
Four real deployments. Six or more months in production. Numbers documented in the customer's own finance model, not Steer's.
The architectural case in one sentence.
Steer is the only healthcare AI platform that was agent-first from the first line of code, coordinated through a single reasoning brain, running one patient thread across four agents, in production at 19 million lives. Every other argument in this market is downstream of that.
The numbers behind the AI workforce.
Production outcomes from 109 organizations, 472 locations, 19M patient lives. Quantified results across all four agents, with methodology disclosed for every metric.
From grind to smooth sail.
See the four-agent workforce and SteerBrain running on your data. We will walk through the architecture, the proof, and the honest middle. Three to four weeks from contract to production, with outcomes measurable from week one.