Your AI Scribe Hallucinates. We Catch It Before You Sign.
DAX says your patient is on Glipizide. Your EHR says they are not. Who do you trust? We are the independent verification layer that catches hallucinations, omissions, and coding gaps in AI-generated notes in under 5 seconds, before you sign.
You Cannot Operationalize What You Cannot Verify
Hospitals have deployed AI scribes broadly. But without independent verification, AI-generated notes remain a liability risk — not an operational asset. The Trust Gap is the difference between AI productivity and AI accountability.
of hospitals use AI scribes
KLAS Research, 2024
AI documentation tools are now standard infrastructure across Epic, Cerner, and other EHR systems. Adoption is nearly universal in large health systems.
trust AI notes for billing without manual review
MGMA Revenue Cycle Survey, 2024
Revenue cycle teams cannot submit claims based on unverified AI documentation. Manual review is still required, which eliminates the productivity gain.
verified by independent third party
Industry Analysis
AI scribe vendors verify their own output. No independent auditor sits between the AI and the clinician. This is the core problem Senier solves.
The Trust Gap
Senier AI Analysis
This gap between adoption and trust is the barrier to ROI realization. Independent verification closes the gap.
Senier AI closes the Trust Gap by providing independent, third-party verification of AI-generated clinical documentation.
How Verification Works
Senier AI runs a multi-stage verification pipeline in under 5 seconds, analyzing every AI-generated note against your EHR data before you sign.
AI Scribe Generates Note
Your AI scribe (DAX, Abridge, Suki, Ambience, or others) creates clinical documentation from the patient encounter audio.
Senier AI Verifies
Our verification engine cross-references the note against patient EHR data: active medications, diagnoses, lab results, allergies, and vitals. Flags hallucinations, omissions, and coding gaps.
Clinician Reviews Findings
You see color-coded flags with explanations and evidence. Accept, modify, or override any finding. Your clinical judgment remains final.
Cryptographic Audit Trail
When you sign, we record an immutable audit trail with cryptographic hash chains. Court-admissible evidence for legal and compliance.
AI Scribe Generates Note
Your AI scribe (DAX, Abridge, Suki, Ambience, or others) creates clinical documentation from the patient encounter audio.
Senier AI Verifies
Our verification engine cross-references the note against patient EHR data: active medications, diagnoses, lab results, allergies, and vitals. Flags hallucinations, omissions, and coding gaps.
Clinician Reviews Findings
You see color-coded flags with explanations and evidence. Accept, modify, or override any finding. Your clinical judgment remains final.
Cryptographic Audit Trail
When you sign, we record an immutable audit trail with cryptographic hash chains. Court-admissible evidence for legal and compliance.
What We Verify
Clinical Consistency
Does the note contradict patient history, active diagnoses, or previous encounter documentation?
Hallucination Detection
Does the note claim facts not supported by EHR data? Fabricated lab values, medications, or allergies?
Omission Scanning
Did the AI omit critical information? Missing allergies, medications, or required elements for medical necessity?
ICD-10 & CPT Validation
Are diagnosis and procedure codes valid, specific, and supported by clinical documentation?
Medical Necessity
Does the documentation satisfy payer requirements for the level of service billed?
Deploys as a Chrome extension atop your EHR. No workflow disruption. No new tabs. Works inside Epic, Cerner, and all web-based EHRs.
See Verification in Action
This is Senier AI analyzing a real clinical note. Watch it catch what manual review misses.
Verification Results
Click “Run Verification” to analyze the clinical note
Note: This demo uses synthetic clinical notes with intentional errors. In production, Senier AI verifies against the patient's actual EHR data — lab results, medication lists, allergy records — via FHIR integration.
All clinical notes shown are synthetic examples created for demonstration purposes. No real patient data is used.
Why Independent Verification Matters
Your AI scribe vendor cannot credibly verify their own output. Independence is not optional — it is the entire point.
PwC audits companies. Companies do not audit themselves.
Sarbanes-Oxley Act (2002) mandates independent auditors
AI scribes cannot credibly verify their own output. Independence is the foundation of trust.
The FDA approves drugs. Pharma companies do not self-approve.
Federal Food, Drug, and Cosmetic Act requires independent review
AI-generated clinical documentation requires independent verification before it can be trusted for billing, compliance, or legal defense.
USDA inspects food. Producers do not self-inspect.
Federal Meat Inspection Act mandates third-party inspection
Self-verification by AI vendors is structurally insufficient. Independent verification is how industries guarantee safety and trust.
Why AI Scribe Vendors Cannot Build This
Conflict of Interest
AI scribe vendors are incentivized to maximize documentation volume and coding levels. An independent verifier has zero financial stake in what gets documented or billed.
No Access to Ground Truth
AI scribes only hear encounter audio. They cannot access patient EHR data (medications, labs, allergies, vitals) to verify their own output. Verification requires EHR integration.
Regulatory Requirement
Self-verification is structurally insufficient for legal and compliance purposes. Third-party verification is the standard in every regulated industry. Healthcare is no exception.
Senier AI is to clinical AI what the independent auditor is to financial statements. We do not generate the documentation. We certify it.
Quantified Impact
Based on 200-provider hospital with 80% AI scribe adoption
Annual Value
Annual Cost
Return on Investment
Denial Prevention
Avoid claim denials from unsupported documentation. Catch coding gaps and medical necessity failures before submission.
Reduced Legal Exposure
Defensible audit trails reduce malpractice liability and regulatory penalties. Independent verification is admissible evidence.
Compliance Automation
Eliminate manual audit sampling. Automated Gold Card compliance tracking and HHS reporting.
Revenue Cycle Efficiency
Faster claim submission with verified documentation. RevCycle teams trust AI notes, reducing manual review overhead.
Average payback period: 6 weeks
Built for Every Stakeholder
You cannot trust AI notes without manually reviewing every line. This eliminates the time savings AI scribes promised.
Senier AI verifies notes against EHR data automatically. You review only the flagged issues, not the entire note.
5 minutes saved per encounter. 30 encounters per week. 150 minutes per week per clinician.
Built for the Regulatory Future
CMS, HHS, and state regulators are moving fast. Senier AI is designed to meet emerging compliance requirements before they become mandatory.
CMS Prior Auth Mandate
Impact
CMS requires payer APIs for prior authorization. Documentation accuracy directly impacts approval rates. Unverified AI notes increase denial risk.
Senier AI
Senier AI validates medical necessity claims against payer rules before prior auth submission. Reduces denials from unsupported documentation.
HHS AI Transparency Rule
Impact
Hospitals must disclose when AI tools are used in clinical decision-making and documentation. Non-compliance results in penalties.
Senier AI
Senier AI provides automated HHS compliance packages: verification audit trails, AI tool usage tracking, and patient-level disclosure reports.
Gold Card Requirements
Impact
Providers with high prior auth approval rates earn Gold Card status, reducing administrative burden. AI documentation errors jeopardize this status.
Senier AI
Senier AI tracks Gold Card metrics in real-time. Dashboards show approval rates, denial reasons, and verification confidence scores.
Regulators are catching up to AI deployment. Senier AI ensures you stay ahead of compliance requirements, not behind them.
Security and Privacy
Senier AI is built on HIPAA-first principles. Every design decision assumes PHI is present.
HIPAA Compliant
All PHI is encrypted at rest (AES-256-GCM) and in transit (TLS 1.3). Business Associate Agreements signed before any data processing. Every PHI access is logged.
SOC 2 Type II In Progress
Independent third-party audit of security controls is underway. Expected completion in Q2 2025. Full audit report will be available to enterprise customers.
End-to-End Encryption
Patient data is encrypted with per-organization keys managed via AWS KMS. Senier AI never stores plaintext PHI. Encryption keys are rotated automatically.
Zero Trust Architecture
All API requests require OAuth 2.0 authentication with JWT tokens. Role-based access control enforced at every layer. MFA required for all portal access.
Data Encryption
- All PHI encrypted at rest using AES-256-GCM with per-organization encryption keys
- Encryption keys managed via AWS KMS with automatic rotation
- TLS 1.3 minimum for all external communication; mTLS for internal services
- Certificate pinning in Chrome extension prevents man-in-the-middle attacks
Access Controls
- OAuth 2.0 Authorization Code + PKCE for Chrome extension authentication
- JWT tokens with 15-minute TTL; refresh tokens rotated on use
- Multi-factor authentication (MFA) required for all portal access
- Role-based access control (RBAC) enforced at API and database layers
- PHI access logging: every read operation is recorded with user ID, timestamp, IP address
Audit Trail
- Immutable append-only audit trail with cryptographic hash chains
- No UPDATE or DELETE operations permitted on audit records (enforced at database level)
- Court-admissible evidence packages generated as signed PDFs
- Audit records include: actor ID, timestamp (UTC), event type, encrypted event data, chain hash
Infrastructure Security
- Hosted on AWS with Multi-AZ deployment for high availability
- Database backups encrypted and stored in S3 with Glacier archival
- Web Application Firewall (WAF) protects against OWASP Top 10 attacks
- Intrusion detection and prevention systems monitor all network traffic
- Quarterly penetration testing by independent third-party security firm
SMART on FHIR Security
- Senier AI is read-only: never writes data back to EHR systems
- Minimum required scopes: launch, patient read, user read, openid, fhirUser
- FHIR tokens stored server-side only (never in browser), encrypted at rest
- All FHIR API calls logged with resource type, patient ID, user, timestamp, scopes
Frequently Asked Questions
No. Senier AI is a verification layer, not a replacement. You keep using DAX, Abridge, Suki, Ambience, or any other AI scribe. Senier AI verifies the output before you sign. Think of it as an independent auditor, not a competing product.
Senier AI integrates via SMART on FHIR 2.0, the industry-standard protocol for secure EHR data access. We request read-only permissions for patient demographics, medications, diagnoses, lab results, allergies, and vitals. We never write data back to your EHR. All access is logged and encrypted.
You have final clinical authority. Every flag includes an explanation and evidence source. You can accept, modify, or override any finding. If you override, we log your justification in the audit trail. False positive rates are tracked and used to improve the verification engine.
Under 5 seconds per note (target: under 3.5 seconds at P95). Verification runs automatically when your AI scribe finishes generating the note. You see results in real-time before signing.
Yes. Senier AI uses cryptographic hash chains to create immutable audit trails. Every verification event is recorded with a timestamp, actor ID, and evidence sources. Evidence packages are generated as signed PDFs with embedded verification metadata. This meets the standard for court-admissible evidence.
Senier AI supports any web-based EHR via our Chrome extension. FHIR integration is available for Epic, Cerner, and any EHR with SMART on FHIR 2.0 support. For non-FHIR EHRs, we use DOM-based extraction with FHIR as a fallback. Contact us to discuss your EHR setup.
Pricing is per-clinician per-month, with volume discounts for health systems. Typical cost is $200-400 per clinician per month depending on scale and feature set. ROI is positive within 6 weeks for most hospitals. Contact us for a custom quote.
Yes. We offer 30-day pilots for up to 20 clinicians. This includes full FHIR integration, Chrome extension deployment, and access to all portals. Pilots are priced at $5,000 fixed fee. Contact us to schedule a kickoff.
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Join the hospitals building trust in AI documentation. Request a pilot or schedule a demo.
Get Started
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