Electronic health record · Registered clearinghouse · Settlement
A practice keeps its chart in one system and its claim in another, then reconciles the difference by hand. Shteg.ai is a single system of record for both — an electronic health record and a registered HIPAA clearinghouse under one organizational NPI — so the clinical fact and the financial fact are the same fact, and neither is re-keyed to reach the other.
Registered HIPAA clearinghouse · Type-2 organizational NPI · Every clinical and financial event attested, and reversible
The problem
Every practice assembles its own patchwork of vendors, portals, and spreadsheets. The seams between them are where time, money, and accuracy leak out.
A typical practice runs 6–10 vendors — EHR, practice management, clearinghouse, phones, portal, reporting. Each one is another login, contract, and silo.
Staff swivel-chair the same demographics, codes, and attachments between screens all day. Every re-keyed field is a chance for error.
Each system keeps its own version of the patient and the balance. Nothing reconciles, so no one fully trusts the numbers.
Weeks pass between encounter and cash — submission, rejection, resubmission, follow-up. Revenue arrives on the payer’s schedule, not yours.
Experienced people spend their days in payer portals and fax queues instead of with patients. Turnover is the predictable result.
Denials land in workqueues with little context and less urgency. Most are recoverable — few are actually worked.
The answer isn’t vendor number eleven. It’s one intelligent layer that connects them all.
Why we exist
We are building the system where they are the same record — an electronic health record and a registered HIPAA clearinghouse operated by one company, under one organizational NPI, so a clinical fact does not have to be re-keyed, re-interpreted, or re-argued to become a paid claim.
A visit documented in one system and billed from another has to be reconciled by a person, and the difference between them is where practices lose money they already earned. We keep both on a single record so there is nothing to reconcile.
Every code, every flag, every suggestion this platform produces arrives as a proposal with the evidence it was drawn from. Nothing is filed, billed, or sent because a model was confident. A person disposes of it, and the record says who.
Which eye, which knee, which side. The platform will refuse a record it cannot determine rather than fill it in from the last one. That refusal is deliberate, and it is the kind of decision that separates a clinical system from a form.
Clinical events and financial events are written to the same attested record, and corrections are new entries rather than edits to old ones. What happened stays visible, including the parts that were wrong.
Where we are: the clearinghouse is registered and the platform is built, and no patient record and no dollar have moved through it in production yet. We state that here rather than in a footnote. Capability is registered as capability, never as traction.
How the work flows
Shteg automates the entire encounter workflow: digital mobile intake, ambient clinical charting, pre-scrubbed clean claims, and direct payment reconciliation without manual data re-entry.
Patients connect to the Shteg AI layer, which handles documentation, coding, billing, scheduling, prior authorization, denials, messaging, and insights across six domains — clinical, revenue, operations, payments, interoperability, and analytics — and connects to payers, labs, hospitals, government, and banks.
Shteg AI Layer
Always-on agents for every workflow
Clinical Flow
Hands-free charting & fast exams
Revenue Cycle
Claims checked before sending; remittance matched on arrival
Front Desk
60s check-in & smart scheduling
Patient Billing
Mobile copays & card-on-file
Data Sync
1-click EHR chart migration
Financial ROI
Live cash flow & zero variance
Interoperability is built in, not bolted on — FHIR · HL7 v2 · X12 EDI · C-CDA · UDAP/TEFCA-aligned surfaces, with the connector for each counterparty enabled per practice.
Four stages, one gate. Every payment path below ships switched off and fail-closed — the build register says which parts are live and which are gated on a named human step.
A signed note becomes a proposed claim
The clinician signs the chart and the claim is assembled from what was documented, line by line. The charge is a proposal: a human disposes of it before anything is submitted.
Payer edits and prior-auth requirements checked before it is sent
CMS NCCI PTP pairs and MUE unit limits run against the claim before it leaves, and coverage requirements are discovered at order time. Errors surface before submission, not after denial.
Six conditions must hold, or the payment does not move
A payment either satisfies all six conditions or it halts and names the one that failed. Direct-bank, batch-wire and FedNow are all built behind one interface — and none is switched on: no live payment path is enabled, and advance amounts stay pinned at zero.
Every payment matched to the visit it paid for, and nothing overwritten
Every posting is written once and never edited, in whole cents, and each remittance is allocated to the charges it actually paid. A variance raises a state and can halt origination; it is not reconciled away later.
Who uses it
A clinician mid-exam and a biller working a denial queue share no pace, no density, and no vocabulary. They should not share a screen either. Each surface below is built for one job, on one record.
Opens the day's schedule and sees which patients still need coverage confirmed before they arrive.
Opens the chart for the patient in the room, with the prior visit and the imaging already beside it.
Opens the work queue and sees which claims are held, why, and what the payer said about each.
Opens one view of the whole practice — cash position, provider credentials, quality measures — instead of five.
Opens the API reference, gets a sandbox key, and posts a test claim before the meeting ends.
Deployed by multi-specialty groups, private practices, health systems, ambulatory surgery centres and billing companies — one login across all of it, because a customer with three products should authenticate once.
Where the software proposes
Not a copilot bolted onto the side — AI is woven through every workflow in the platform, from the exam room to the remittance.
The visit note drafts itself while you talk to the patient.
Clinical notes & patient communications translated across 11 languages with terminology safety checks.
ICD-10, CPT, and NCCI suggestions grounded in the documented encounter.
Continuous OIG/LEIE and NPPES sanction screening verified at the settlement gate.
Requirements checked at order time, not discovered at denial time.
Claims scrubbed against payer rules before they leave — not appealed after.
Routine questions answered, translated, and routed before the phone rings.
Patterns across your panels surfaced for review, and the integrity of the financial record verified continuously.
AI output is always clinician-reviewable — nothing reaches a chart, claim, or patient without a human signing off.
Product preview
Schedule, claims, revenue, and an AI copilot that watches all of it — the command center your front desk, billers, and clinicians share.
Today’s schedule
Claims pipeline
Collections — last 30 days
Sample data
Product mockup of the Shteg.ai command center showing a daily appointment schedule with check-in statuses, a claims pipeline with paid, scrubbed, and queued claims, a 30-day collections trend chart, AI copilot suggestions such as denial-risk warnings and prior authorization reminders, and a patient journey timeline from check-in to payment. All data shown is fictional sample data.
Target outcomes
A Shteg.ai deployment is scoped against a small set of operational targets — time saved at the keyboard, cash collected faster, denials avoided before they happen.
Illustrative targets, not measured Shteg.ai results. No figure here comes from a customer deployment or a published benchmark.
Security & compliance
The rails healthcare already trusts, wired into every workflow — available on multi-tenant cloud, dedicated VPC, or air-gapped on-premise Kubernetes.
Data is encrypted everywhere — AES-256 with optional Customer-Managed Encryption Keys (CMEK) at rest, and TLS 1.3 in transit. Every financial posting lands in a SHA-256 HMAC hash-chained, append-only double-entry WORM ledger with cycle and fork detection. For sovereign institutions, the entire platform can be deployed air-gapped on-premise via Helm charts with local Dex IdP SSO and edge model inference. Where a BAA is not yet in place, the integration fails closed rather than proceeding.
Read the register — what is verified, what is gatedScheduling, charting, billing, and payments in one system — with AI quietly doing the busywork.