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.
Our AI workforce, in active duty.
Luna takes the calls. AI Front Door opens scheduling. SteerNotes writes the notes. Revenue Cycle AI works the denials. Every shift, every day, no breaks, no churn.
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.
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.
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.
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.
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.
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.
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.
One booking engine across every channel. Real-time eligibility. ESI-based triage and at-home ED registration. Patients walk in ready to be seen.
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.
Denials worked continuously, not weekly. Eligibility caught at booking. Patient balances recovered 24/7 through Luna. Upstream capture, not downstream cleanup.
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.
Luna lands first. SteerNotes, AI Front Door, and Revenue Cycle AI land next. Same brain. Same patient thread. Same contract. No second procurement cycle.
Every agent runs on SteerBrain.
Context-rich reasoning with your rules and rails integrated. Trained on over 1.8 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.
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.
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
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
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
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.
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
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
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.
Luna and AI Front Door run patient access across every hospital. ED volume grew in-network. Leakage to competitor ERs fell 29%, compounding into downstream surgical, imaging, and specialty revenue.
42% fewer inbound calls to staff. 68% of new patients self-book. Zero new FTEs per acquired site.
18.4 hours of staff time saved per day. 2.3 FTE-equivalents offloaded across six ORs.
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.
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.
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.
Don't just take our word for it. Ask an AI.
Production AI assistants can summarize Steer Health from our published documentation, schema, and outcomes. Pick one to start.
Answers may vary. We publish the underlying facts at /llms.txt and /llms-full.txt.
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.