FOR IMMEDIATE RELEASE
Brightcore AI Launches Audit Sentinel AI — A Three-Pass Artificial Intelligence Engine That Audits E/M Clinical Notes for Coding Accuracy and Compliance Risk
Platform brings institutional-grade chart audit capability to solo auditors, HIM departments, and compliance firms at a fraction of traditional audit costs
April 17, 2026 — Brightcore AI today announced the official launch of Audit Sentinel AI (auditsentinel.ai), an AI-powered evaluation and management (E/M) coding audit platform designed for healthcare professionals, credentialed medical coders, HIM departments, and compliance organizations. The platform applies a proprietary three-pass artificial intelligence pipeline to clinical documentation, validating E/M code selection against 2023/2026 AMA CPT guidelines, identifying documentation deficiencies, and delivering a structured compliance report with letter grade in seconds.
Audit Sentinel AI is immediately available with a 7-day free trial at auditsentinel.ai.
The Problem: E/M Coding Errors Cost the Industry Billions
Evaluation and management coding errors remain one of the highest-risk areas in healthcare compliance. The OIG Work Plan consistently identifies E/M documentation as a top target for Medicare audit activity, with significant overpayment and underpayment errors identified across practice settings every year. Manual chart audits are time-intensive, expensive, and often inconsistent — creating a gap between the volume of notes produced and the volume that can realistically be reviewed.
“The industry needed something that could do what a seasoned auditor does, but at scale,” said Douglas Holland, founder of Brightcore AI. “Audit Sentinel AI doesn’t replace auditors — it makes them faster, sharper, and able to defend every finding with a structured, AI-generated rationale.”
How It Works: A Three-Pass AI Pipeline
Audit Sentinel AI applies a sequential, three-stage analysis to every submitted clinical note:
Pass 1 — PHI De-Identification. Before any clinical analysis begins, the platform automatically detects and replaces all 18 categories of protected health information (PHI) defined under the HIPAA Safe Harbor method (45 CFR § 164.514(b)(2)). Patient names, dates of birth, medical record numbers, and all other direct identifiers are replaced with standardized placeholders. The de-identified note — never the original — proceeds to analysis.
Pass 2 — E/M Audit and Documentation Analysis. The de-identified clinical narrative is submitted to Google Vertex AI (Gemini) for comprehensive coding analysis. The AI evaluates medical decision-making (MDM) complexity across all three MDM components, validates E/M level selection against the submitted CPT code, assesses ICD-10 code appropriateness and medical necessity, and identifies documentation gaps that create compliance or reimbursement risk.
Pass 3 — Grading and Comparator Analysis. A second AI model reviews the findings from Pass 2 and produces a structured audit report including a numeric compliance score (0–100), a letter grade, risk classification, CDI recommendations, and an ideal billing analysis comparing the documented level with the submitted code.
The complete three-pass audit completes in under 90 seconds for most clinical notes.
PHI-Safe-by-Design Architecture
Unlike platforms that store raw clinical data and rely on access controls to protect it, Audit Sentinel AI is built on a PHI-safe-by-design architecture. The de-identification step executes before any data leaves the user’s session. Raw clinical notes containing patient-identifiable information are never written to the platform’s database, never transmitted to Google Vertex AI, and never retained at rest.
“The strongest protection against a PHI breach is not having PHI,” said Holland. “We eliminated the risk at the source.”
The platform does not use third-party advertising trackers, behavioral analytics, or marketing pixels. Business Associate Agreements (BAAs) are available upon request for Scale plan subscribers and enterprise engagements.
Pricing and Availability
Audit Sentinel AI launches with four subscription tiers:
- Starter — $99/month · 100 audits/month
- Pro — $249/month · 300 audits/month
- Growth — $399/month · 500 audits/month
- Scale — $699/month · 1,000 audits/month
All plans include the full three-pass AI audit engine. Annual billing is available at a 20% discount. A 7-day free trial with no credit card required is available at auditsentinel.ai.
About Brightcore AI
Brightcore AI is a healthcare technology company specializing in AI-powered compliance and administrative automation tools for medical practices, HIM departments, and audit firms. Brightcore AI is the developer of Audit Sentinel AI and operates at the intersection of artificial intelligence and clinical compliance.
Website: auditsentinel.ai Email: doug@brightcoreai.com LinkedIn: linkedin.com/company/brightcore-consulting-llc Facebook: facebook.com/people/Brightcore-AI/61565779636163 YouTube: youtube.com/@BrightcoreAI
This press release contains forward-looking statements. Audit Sentinel AI is designed for informational and educational use by qualified healthcare professionals and does not constitute legal, medical, or compliance advice. Organizations should consult qualified legal counsel for compliance guidance specific to their operations.
Media Contact Douglas Holland Brightcore AI doug@brightcoreai.com auditsentinel.ai