AssuredAI — Generative-AI Compliance Layer
An AI-content compliance pipeline for healthcare and government publishers. Editors paste a draft or describe what they want — the pipeline scans for PHI/PII, medical red flags, hallucinations, and regulatory exposure before anything is safe to publish.
The Problem
Healthcare and government editorial teams need generative AI but can’t ship its output the way it comes out of a model. Patient names slip in. A draft mentions a symptom that’s actually an emergency-room red flag. A diet article quietly contradicts CMS guidance. Existing AI safety tools focus on the model’s training; they don’t catch what comes out of an editor’s chat window when they’re under deadline.
So I built the layer that sits in front of every “publish” button.
The Architecture
A single pipeline that catches the things compliance teams catch — and a few they miss — before a draft can leave the editor’s hands:
- PHI / PII detection — patient names, MRNs, emails, phone numbers, IP addresses. Microsoft Presidio under the hood, with healthcare-tuned overrides.
- Medical red flags — cardiac, suicidal ideation, overdose, stroke, severe bleeding, anaphylaxis. Hard-block + surface the appropriate emergency hotlines inline so the editor sees them too.
- Hallucination scan — every claim with a citation gets re-grounded against the source URL.
- Regulatory cross-check — CMS guidance, FDA labeling claims, state board rules — flagged inline as warnings the editor must acknowledge before publishing.
- Audit trail — every draft, every pipeline run, every human override, time-stamped and exportable for the next audit.
The Bet
A compliance layer isn’t a feature; it’s the seam between AI productivity and regulated reality. Editorial teams will pay for the seam — and pay more for the audit log.