AI-Native Platform · Founded 2021

The AI Workforce
for Healthcare
Operations.

From grind to smooth sail. Autonomous agents that run your front desk, document your visits, close your revenue cycle, and engage every patient. 24/7, without adding a single hire. Built for hospitals, surgery centers, and medical groups.

One PatientOne ThreadFour Agents
Luna Tue 8:47 AM
Inbound call. Patient described lower back pain.
AI Front Door Tue 8:48 AM
Booked Friday 2 PM. Eligibility + copay verified.
SteerNotes Fri 2:14 PM
SOAP drafted from visit. 14 codes + care plan filed.
Revenue Cycle AI Fri 4:30 PM
Clean claim submitted. No denial risk.
SteerBrain
1B+ Healthcare Interactions
Trusted by healthcare leaders
19M
Patient lives
472
Locations live
45+
Hospitals
109
Healthcare orgs
Integration, not replacement

Keep your EHR.
We make it work harder.

Steer writes directly into Epic, Oracle Health, athenahealth, Meditech, and 50+ other systems. Deploy in days, not quarters, with zero disruption to existing clinical workflows.

Bidirectional FHIR Real-time writes HL7 + API native
Bidirectional FHIR·Hyperspace + MyChart
Millennium HL7·Cloud APIs
Marketplace certified·Ambulatory + RCM
Expanse + Magic·HL7 + FHIR
FHIR R4·Ambulatory certified
Also supported Greenway, Allscripts, DrChrono, Practice Fusion, Modernizing Medicine, Greenway Intergy, Veradigm, and 40+ more systems.
SOC 2 Type II SOC 2 R1 Renewal HIPAA Compliant CHAI Member (Coalition for Health AI) Production in 3 to 4 weeks, not 3 to 4 quarters
The problem

Healthcare operations
are a grind.

The work was never rebuilt for the AI era. Every day, operators carry the same four breaks: broken front doors, exhausted clinicians, leaking revenue, and vendor fatigue yielding low to mediocre results.

01 / The front door is broken

Patients disappear before they ever become patients.

Calls go unanswered. Online bookings break when they hit real scheduling rules. The ones who do reach you wait on hold long enough to Google a competitor.

4 in 10
calls come after hours and on weekends. Patient needs go unmet, and they leave for a competitor.
SourceNguyen et al., "Utilization Patterns of an After-Hours Physician Triage and Advice Telephone Service," J Gen Intern Med 40, 1950-1953 (2025). Springer →
02 / Clinician burnout

Charting until 10 PM isn't a medicine problem.

It's a software problem. The systems beneath clinicians are unworkable, and every hour spent in them is an hour not spent with patients.

22.5%
of physicians spend 8+ hours weekly on after-hours EHR documentation, the "pajama time" that drives clinician burnout.
SourceRotenstein et al., "System-Level Factors and Time Spent on Electronic Health Records by Primary Care Physicians," JAMA Network Open (2023). AMA reports 22.5% of physicians spend 8+ hours weekly on "pajama time" EHR work. AMA →
03 / Revenue leaks everywhere

Two to four percent of net patient revenue walks out the door.

Denials pile up. Prior auths stall. Eligibility is checked too late to matter. The money isn't missing, it's just not getting collected.

$48.4B
in net revenue leakage across 2,300+ U.S. hospitals in 2025, driven by 2.7% median denial rate plus 1.3% bad debt.
SourceKodiak Solutions, "State of the Healthcare Revenue Cycle" (2025): $48.4B net revenue leakage across 2,300+ hospitals, driven by 2.7% median final denial rate plus 1.3% bad debt. Healthcare Finance News →
04 / Vendor fatigue

Twelve tools to do what one platform should.

Every integration is a new failure mode. Every renewal is a new negotiation. And the results are low to mediocre, with no one accountable for the whole.

10 to 20
vendors in the average tech stack, most without native integration. No one is accountable for the whole patient journey.
SourceIntelichart analysis: healthcare organizations commonly run tech stacks of 10-20 different vendors, most without native integration. Intelichart →
The answer

Four agents.
One brain. One patient thread.

Not a stack. Not a suite. A coordinated workforce of autonomous agents that share context across every interaction, built agent-first from the first line of code.

Luna
Voice front door

Inbound and outbound at scale. New-patient booking, rescheduling, symptom-driven triage, care-gap outreach, balance recovery. Sounds like your brand. Books against your real rules.

247+
Concurrent calls
88%
Booked without a human
<400ms
Response latency
AI Front Door
Patient access + ED triage

One booking engine across every channel. Real-time eligibility. ESI-based triage and at-home ED registration. Patients walk in ready to be seen.

68%
Self-book rate
94%
Eligibility verified
89%
Net new ED, commercial
SteerNotes
Agentic clinical documentation

Codes from notes and the full patient record. Not just the transcript. Drafts the SOAP note, auto-codes ICD-10 and CPT, files directly to the EHR.

~1 hr
Charting saved / day
94%
First-pass coding
22+
Specialties live
Revenue Cycle AI
Autonomous RCM

Denials worked continuously, not weekly. Eligibility caught at booking. Patient balances recovered 24/7 through Luna. Upstream capture, not downstream cleanup.

2 to 4%
Revenue recovered, Y1
94%
First-pass denial resolution
<24 hr
Denial turnaround
Next on the workforce Virtual Nurse for inpatient and acute care. Because the workforce should follow the patient all the way through the hospital.
Start Here · Beachhead Agent

Most customers start with Luna.

The easiest agent to deploy. The fastest to ROI. The one your operators will fight for first. Luna runs in production within three weeks on most systems, paying for herself before the rest of the workforce is even scoped.

21 days
From contract to production on most EHRs
88%
Calls booked without a human touch
65%
Of bookings handled after-hours

Luna lands first. SteerNotes, AI Front Door, and Revenue Cycle AI land next. Same brain. Same patient thread. Same contract. No second procurement cycle.

Live Call
Wed 2:14 AM
Luna
Thanks for calling Meadowbrook Ortho. How can I help?
Caller
I woke up with terrible lower back pain. Can someone see me tomorrow?
Luna
Dr. Hernandez has Friday at 2 PM, and he specializes in lumbar. That's the earliest with a specialist. Does that work?
Caller
Yes, please.
Luna
Booked. Your BCBS copay is $40. Confirmation text coming to the number ending 8891.
The reasoning layer

Every agent runs on SteerBrain.

Context-rich reasoning with your rules and rails integrated. Trained on over a billion healthcare interactions. The reason our agents know your organization from day one, book against your real scheduling rules, and get smarter the longer they run.

Your rules, integrated. Scheduling templates, payer logic, specialty protocols, clinical pathways. The agents work the way your organization works.
Your rails, enforced. Safety guardrails, escalation paths, audit trails. What the agents can do, and what they route to a human, is governed end to end.
One shared patient thread. A call with Luna informs a note with SteerNotes informs a claim with Revenue Cycle AI. Nothing falls through the cracks.
1B+
Healthcare interactions
The business case

AI that pays for itself

and then some.

Steer isn't a line item. It's a margin strategy. Every agent is measured against three outcomes a healthcare CFO has to care about: revenue, cost, and risk.

01 Grow

More revenue from the patients you already have.

There's more revenue in your existing funnel than your team can reach. Luna answers the missed calls. AI Front Door captures the abandoned web visits. Revenue Cycle AI collects the balances staff never had time to chase.

  • Missed-call recovery
  • In-network referral retention
  • Balance recovery + charge capture
  • Quality bonus closure
02 Reduce

Take labor cost out of the system at scale.

Steer doesn't replace the team you love. It replaces the work nobody wanted to do: the 70% of admin overhead that doesn't need a human and shouldn't have had one in the first place.

  • Front-desk and call-center load offloaded
  • Clinician documentation time cut in half
  • RCM team sized to exceptions, not volume
  • Fewer point tools, fewer vendors to manage
03 Protect

See the margin leak before it lands.

Every missed eligibility check, every lapsed referral, every delayed denial is a forecastable event. SteerBrain's event-driven architecture surfaces risk days before it hits your AR, not weeks after.

  • Eligibility failures caught pre-visit
  • Denial patterns surfaced in real time
  • Referral-loop breakage alerts
  • HIPAA-governed audit trail, end-to-end
Why AI-native matters

Built agent-first
from the first line of code.

Other healthcare platforms federate acquired products at the data layer. Steer is one workforce, designed from the orchestration up, with one shared patient context. The architectural difference shows up in every deployment.

Legacy platforms

Acquired products, stitched together.

  • Separate products sharing a common data store
  • Integration seams show up in every deployment
  • Each new capability is a new onboarding
  • AI bolted onto software built before AI
  • Context loss between capabilities
Steer

One AI workforce, designed agent-first.

  • Four agents on one reasoning brain, one patient thread
  • Shared context across every interaction, every agent
  • Adding the next agent inherits the workforce, not integration load
  • Built agent-first from the first line of code in 2021
  • 3 to 4 weeks from contract to production
Proof at scale

Production outcomes,
not pilot projections.

Steer runs in production across health systems, PE-backed specialty groups, ambulatory surgery centers, and cash-pay specialty networks. These are the real numbers our customers live with every day.

Prime Healthcare
Full AI workforce · 45 hospitals
In play
  • Luna voice front door, system-wide
  • AI Front Door ED triage and patient access
  • Post-discharge engagement recovery check-ins, readmission prevention
-22%
30-day readmissions across the system

Luna and AI Front Door run patient access across every hospital. Post-discharge outreach catches recovery issues before they become readmissions, with downstream impact on HRRP exposure and star ratings.

OrthoWest
18-provider orthopedic group
In play
  • Luna inbound and outbound at scale
  • AI Front Door online booking with real scheduling rules
  • SteerNotes clinical documentation, all providers
2.4x
new patient visits per provider, year one

Inbound calls dropped, self-booking grew, and provider productivity climbed without adding FTEs at acquired sites.

Saint Mary's ASC
Multi-specialty surgical center
In play
  • Luna pre-op outreach and rebooking
  • Pre-visit surgical prep consents, instructions, NPO checks
  • Revenue Cycle AI prior auth and eligibility
94%
OR utilization, up from 71% pre-deployment

Pre-visit prep automation and prior auth coverage cut day-of cancellations to near zero. Six ORs, no added staff.

In their words
Rather than thinking of Luna as just an AI bot, we see it as an extension of the front desk, someone who is always there, always consistent, and always focused on taking care of patients the way a great receptionist would.
SP
Dr. Sunil Patel
Chief Medical Officer · Prime Illinois
2025 Impact Report

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.

Read the report →

Ready to move from
grind to smooth sail?

See the four-agent workforce and SteerBrain running on your data. Most deployments go live in three to four weeks, with outcomes measurable from week one.