HIPAA-compliant AI for healthcare operations.

Healthcare automation built around your operation — AI for clinical documentation, claims processing, prior authorization, and patient communication, deployed in the systems your practice already runs.

Healthcare Operations for the AI Era Scroll to explore

You are losing time and revenue in predictable places

We have mapped operations at solo practices, multi-site groups, and hospital-affiliated specialty clinics. The specifics change. The friction points do not.

Front-desk staff are doing four jobs at once

01

Phones ringing, walk-ins waiting, eligibility checks pending, intake forms half-typed. The receptionist is the operational nerve center, and every interrupted call is a missed schedule, a missed copay, or a missed authorization window.

Front-desk admin · 30–45% of staff hours

Eligibility and benefits are verified at the wrong time

02

Coverage is checked the day of the visit — sometimes after the patient is in the chair. Surprise denials, mid-month plan changes, and out-of-network confusion arrive as billing problems weeks later, by which point recovery is half the cost.

Avoidable denials · 9–14% of submitted claims

Prior authorizations live in a fax purgatory

03

Procedures get scheduled before auth is approved. Faxes go out, faxes come back, status lives in a sticky note. The patient is on the books, the carrier hasn't responded, and the practice eats the gap when the OR is occupied.

Auth turnaround · 5–12 days, no standard SLA

Claims denials get worked one at a time

04

An ERA arrives with a CARC code, a biller pulls the claim, the practice management system shows three notes from three different staff, and the appeal letter is rewritten from scratch. The same denial reason recurs every month and no one is fixing the upstream cause.

Denial rework · 40–60 min per claim

Patient communication leaks at every milestone

05

Pre-op instructions go out by phone if there's time. Lab results show up in a portal the patient never logs into. The post-op follow-up question becomes a 2 AM voicemail and a no-show next week. Engagement collapses precisely where outcomes are decided.

No-show rate · 12–22% of scheduled visits

Clinical notes are a tax on every visit

06

Providers spend 30–60 minutes a day finishing charts after the last patient leaves. Documentation drives burnout, drives turnover, and drives the next coding error. The EHR is the system of record and the operational bottleneck at the same time.

Charting overhead · 1–2 hrs / provider / day

The operational lifecycle of a healthcare practice

Before we talk about AI, we map the machine. Every practice we work with starts here — the four operational surfaces every patient touches, and the work that happens on each.

01

Access & intake

From first call to the chair. The fastest place to lose a patient — or break a claim.

  • Lead capture. Phone, web, referrals, after-hours
  • Eligibility check. Real-time payer verification
  • Demographics & forms. Pre-visit packets, e-sign
02

Clinical operations

The visit itself — and the documentation tail that follows it.

  • Chart prep. History pull, problem list, last visit
  • Ambient documentation. Visit notes drafted from conversation
  • Order entry. Labs, imaging, referrals, e-prescriptions
03

Revenue cycle

Where the work the practice has already done becomes the money the practice actually gets.

  • Charge capture. Visit → claim, no codes left on the table
  • Prior authorization. Submit, track, escalate
  • Claim submission. X12 837, scrubs, clearinghouse
04

Patient engagement

Everything that happens between visits — and decides whether the next visit happens at all.

  • Appointment reminders. Multi-channel, multi-touch
  • Care-plan adherence. Med refills, follow-ups, instructions
  • Results delivery. Plain-English summary + clinician note

AI is infrastructure, not a replacement for your clinicians

We do not believe in an "AI doctor." We believe in an AI operations layer that takes the predictable, repetitive, system-to-system work off your team so your clinicians and billers can spend their time on the work that requires a license.

AI handles

Repetitive work that slows your team down.

  • Eligibility & benefits verification. Real-time checks against payer portals before the visit
  • Prior authorization workflows. Packet drafting, submission, follow-up cadence
  • Clinical note drafting. Ambient → structured note, provider edits and signs
  • Charge capture & coding suggestions. ICD-10 + CPT from the note, flagged for billers
  • Claim scrubbing. Rule checks, missing-field detection before the clearinghouse
  • ERA reconciliation. Auto-post clean items, route exceptions
  • Patient communication. Reminders, instructions, results, billing — channel-aware
Your team handles

The judgment, strategy, and relationships.

  • Clinical judgment. Diagnosis, treatment plans, escalation decisions
  • Procedure consent. Conversations that require informed agreement
  • Coding sign-off. Provider attests, biller approves the final claim
  • Appeals strategy. Which denials to fight, how, and with what evidence
  • Patient relationships. Hard news, sensitive cases, lifecycle care
  • Operational exceptions. Anything that doesn't match the template
  • Anything irreversible. Submitted claims, prescribed meds, signed orders

Anything irreversible passes through a human.

Diagnoses, prescriptions, signed orders, submitted claims, denied-claim appeals. The AI drafts, organizes, and surfaces — your clinicians and billers decide and sign.

What we actually build

Six systems we have deployed in production at healthcare practices. None of them are chatbots. All of them are operational infrastructure that connects the tools you already use.

System / 01

Eligibility & Benefits Engine

Patient eligibility, copay, deductible, and authorization status are pulled in real time at the moment of scheduling — not the day of the visit.

Outcome

EHR

System / 02

Claims Submission & Reconciliation

X12 electronic claims are scrubbed, submitted, and reconciled against ERAs — clean items post automatically, exceptions go to a triaged work queue.

Outcome

EHR

System / 03

Prior Authorization Engine

Procedures that need auth are detected before scheduling, packets are drafted from the chart, and submissions are tracked through approval or denial.

Outcome

EHR

System / 04

Ambient Documentation Assistant

Visit conversations are turned into structured clinical notes — provider edits and signs. No more chart catch-up after hours.

Outcome

EHR

System / 05

Patient Communication Engine

Reminders, prep instructions, results, and billing messages go out on the right channel at the right time — with attribution back to the chart.

Outcome

EHR

System / 06

Denial Root-Cause System

Denials are grouped by reason, payer, and provider — root causes get fixed upstream instead of fought ticket-by-ticket downstream.

Outcome

Practice mgmt

In production.

One example of what we've shipped in the healthcare space.

Healthcare · Case study

End-to-End Dental Claims Processing and Reconciliation

How a dental practice replaced its clearinghouse and manual claims posting with AI claims processing and automated ERA reconciliation across 500+ CDT codes. A dental RCM software replacement that cut clearinghouse cost and accelerated A/R — built for dental practices running Open Dental.

Read the case study →
50%+
Clearinghouse cost cut
500+
CDT codes in scope
X12
Fully electronic claim cycle

Fits into the stack you already run

We do not ask practices to migrate. We build healthcare automation on top of the systems you already run — AI for Epic, athenahealth, eClinicalWorks, Open Dental, DrChrono, and Cerner. Your EHR stays the chart of record, your clearinghouse stays the rail to payers, and the AI lives in the seams between them.

EHR & practice mgmt

  • Epic
  • Cerner
  • athenahealth
  • eClinicalWorks
  • DrChrono
  • Open Dental

Revenue cycle

  • Availity
  • Change Healthcare
  • Waystar
  • Office Ally
  • Inovalon
  • Trizetto

Communications

  • Twilio
  • RingCentral
  • Spruce
  • Mend
  • Klara
  • Patient portals

Workflow & data

  • HL7 / FHIR
  • X12 837/835/270/271
  • n8n
  • Airtable
  • Slack
  • Vector DB

How we think about AI inside a practice

01

AI is operational infrastructure.

Not a feature, not a chatbot, not a magic button on a marketing page. The work it does is the same work your staff has always done — moved into a system where it runs reliably.

02

Accuracy is the floor.

In healthcare, wrong is dangerous. If a system is not measurably more accurate than your current process, we do not ship it. We measure, calibrate, and disclose drift.

03

Operational fit beats novelty.

The best AI system is the one that disappears into the practice's actual workflow. If staff have to change how they work to use it, it is the wrong system.

04

Humans stay in the loop on care.

Diagnosis, treatment, prescribing, claims sign-off — all go through a licensed human. The AI prepares, drafts, and surfaces; clinicians and billers decide.

Questions,
answered.

The stuff we hear most on the first call. Don't see yours? Book a 30-minute conversation.

How long does AI implementation take for a medical practice?
A first system — typically eligibility verification or claims reconciliation — is in production inside 4 to 8 weeks. We start with a workflow audit, ship a single high-leverage system end-to-end, and only then expand.
What is involved in implementing AI at a medical practice?
A weekly working session with the practice manager or RCM lead, async access to a biller or clinician for workflow questions, and read-only credentials into the systems we are integrating with. No new platform to learn until the system is live.
Is your AI HIPAA compliant?
Yes. We build HIPAA-compliant AI for healthcare operations. Data stays inside your existing systems. We sign BAAs with every model, storage, and processing layer we use. Models are configured to not retain prompts, access is scoped per role, and audit trails are written to your EHR or PM system.
How accurate is AI in healthcare?
Every system has a human checkpoint at the clinical or financial decision — submitting a claim, sending an order, prescribing a medication. The AI surfaces and drafts; a clinician or biller accepts. Errors are logged, reviewed weekly, and fed back.
Does AI replace your EHR system?
No. Your EHR — Epic, athenahealth, Open Dental, whatever — stays the system of record. We build on top of it. The operational layer is additive.
How much does healthcare AI cost?
Fixed-fee for the initial audit and the first system. Retainer for ongoing operations, optimization, and additional systems. We do not bill hourly for AI work — outcomes, not seat time.
How much does an AI medical scribe cost?
AI medical scribe pricing depends on the practice's specialty, EHR, and visit volume. Off-the-shelf scribe tools price per provider per month. Custom builds — where the scribe is integrated into the practice's existing chart workflow rather than running as a separate tool — are priced as a fixed-fee build plus ongoing retainer. We baseline charting time before deployment and report against that baseline.
What is AI revenue cycle management?
AI revenue cycle management automates the work between a completed visit and posted payment — eligibility verification, prior authorization, charge capture, claim scrubbing, submission, ERA reconciliation, and denial management. The clinician and biller stay in the loop on every clinical or financial decision. The AI drafts, organizes, and surfaces. A human approves and signs.
Can AI integrate with my EHR?
Yes. We build AI for Epic, athenahealth, eClinicalWorks, Open Dental, DrChrono, Cerner, and most modern EHR systems — using HL7/FHIR feeds, X12 transactions, and direct API access where the EHR supports it. We do not replace the EHR. The chart stays the source of truth.

Ready to become
AI-Native?

Book a 30-minute conversation. We'll map the highest-leverage workflows in your business and tell you whether AI is the right answer.