Stop AI mistakes before they cost you.
One hallucinated dosage. One fabricated citation. One patient name that leaks into a published draft. In healthcare, a single AI mistake is a settled lawsuit, a regulator letter, and a brand crisis your team is still answering for next quarter.
AssuredAI runs every draft — yours, your writers', or any AI tool's — through a four-check compliance pipeline. PHI redaction. Red-flag routing. Sentence-level sourcing. Disclaimer enforcement. Then it produces evidence your CISO can file.
Patient PERSON_1 was recently diagnosed with Type 2 diabetes. Their doctor recommended a healthy eating plan and regular physical activity.
Eating fruits, nonstarchy vegetables, whole grains, and lean proteins can help manage blood sugar. Drinking green tea three times per day reduces cholesterol by 47%.
Health-content teams that answer to a CISO.
Four buyer profiles. One operating reality: a single AI mistake in a health-facing article is not a content bug — it is a regulator letter, a legal filing, a board conversation. AssuredAI is built for the teams that have to publish anyway.
Health publishers.
Brand and editorial teams shipping AI-assisted health content at scale.
Where a single hallucinated stat can land on the front page of the trade press, AssuredAI ships every article with a public proof URL and a CISO-filable PDF — editorial keeps the velocity, your CISO keeps the receipts.
Hospital & clinical systems.
Patient-education and marketing teams inside hospitals and clinics.
PHI is redacted at the I/O boundary — it never leaves your perimeter. Every published claim traces to an approved internal protocol or a federal source, so a leaked patient token never becomes an OCR file.
Pharma & life sciences.
Patient-resource and HCP-comms teams in regulated environments.
Sentence-level verification against your medical-affairs-approved corpus, with a hash-chained audit trail behind every submission. Off-label-sounding language never clears legal because it never makes it past the verifier.
Government & public health.
Federal and state health agencies, policy publishers, 988-style services.
FedRAMP-ready architecture. Hash-chained audit logs that meet evidentiary standards. Public proof URLs anyone can re-verify in their browser — built for transparency mandates that require every claim be auditable by citizens.
Every claim, checked against the sources you approve.
AssuredAI ships with public-domain federal health sources. You add your own approved internal content. The verifier may only cite from that combined library — nothing else is reachable, ever.
Public-domain content from US health authorities. Shipped with every implementation.
- CDCcdc.gov · 412 chunks
- NIH / NIDDKniddk.nih.gov · 287 chunks
- NIH / NHLBInhlbi.nih.gov · 244 chunks
- NIH / NIMHnimh.nih.gov · 198 chunks
- FDAfda.gov · 356 chunks
- HHShhs.gov · 174 chunks
Upload your editorial guidelines, clinical protocols, and archive. They become canonical.
- Your editorial style guidehouse style · tone · voice rules
- Your clinical protocolsinternal procedures · approved language
- Your patient-education archivethree-year archive · re-indexed nightly
- Your peer-reviewed librarycurated journal references
Federal sources cited under nominative fair use of public-domain content. AssuredAI does not claim endorsement or partnership with any organization.
This is what your AI gets wrong.
Generic LLMs were trained on the open web — not on your formulary, your style guide, or your compliance posture. Four failure modes show up over and over in real healthcare publishing. Each one is a small editorial error, and a large legal one.
The AI invents a number that sounds clinical.
“Adults can safely take up to 4,000 mg of ibuprofenper day for chronic pain management.”
The actual OTC ceiling is 1,200 mg. The published article becomes Exhibit A in a malpractice filing.
The AI references a study that does not exist.
“A 2024 JAMA meta-analysis (Chen et al., n=12,847) demonstrated a 47% reduction in cardiovascular events.”
A reader checks the source. The study is invented. The brand is publicly accused of inventing medical evidence.
A patient name from a prompt ends up in the article.
“Patients like Margaret Hutchinson (MRN 8842-91)often respond well to the DASH protocol.”
A single PHI exposure is a HIPAA-reportable breach. $50K minimum fine per violation. OCR audit follows.
Symptom-prompting content publishes without a 911 routing line.
“If you are experiencing crushing chest pain, try lying down and taking deep, slow breathsuntil it passes.”
No 911 routing. A reader follows the advice during a real cardiac event. A wrongful-death suit follows.
The median malpractice settlement involving a single piece of published medical misinformation is $1.8 million.
One AI hallucination becomes the headline.
A wrong dosage, an invented citation, a missed disclaimer, a leaked patient name — any one of them can cost a healthcare brand a regulator's fine, a class-action filing, and years of earned trust. The cost isn't a bug fix. It's a litigated apology.
The hard part of healthcare AI isn't the AI.
It is the verification, the redaction, the audit trail, the regulatory posture — everything that has to be true around the model for the model to be safe to ship. That everything is the work. AssuredAI is the work.
Claude, GPT, Gemini, the next one — pick your favorite. Swap them whenever the benchmark shifts. None of them are AssuredAI's problem.
The six layers that make a healthcare publish defensible — built end-to-end, wired together, deployable in your VPC by Monday. Not a feature menu. A compliance pipeline.
- 01PHI redaction at the I/O boundaryPresidio sidecar · zero egress
- 02Medical red-flag routing — pre-LLM6 categories · hotline-routed
- 03Sentence-level sourced retrievalpgvector · voyage-3 · 1024-dim
- 04Hash-chained audit logPostgres trigger · SHA-256 · append-only
- 05Public cryptographic proof URLsRe-verifiable in any browser
- 06Compliance PDF + embed codeCISO-filable · iframe-droppable
For two years the industry has been naming this gap. Industry analysts have enumerated the layers. Vendors named them at every conference. CISOs named them in every procurement call. The principles aren't new. The shipped stack is.
AssuredAI is open source under MIT, runs on infrastructure you already have, and is architected so a CISO can audit every layer. Built so the next healthcare brand on the front page for an AI hallucination isn't yours.
Four checks. Before anything publishes.
Whether the article comes from your writers, your existing AI authoring tools, or our own draft mode — the same compliance pipeline runs end-to-end, with a hash-chained audit trail you can show a regulator.
PII / PHI redaction
Patient names, MRNs, emails, phones, IPs — replaced with typed tokens before anything leaves your editor.
Medical red flags
Cardiac, suicidal ideation, overdose, stroke, severe bleeding, anaphylaxis — auto-routes to the right hotline. Never reaches the LLM.
Bypassed the LLM entirely.
Sentence-level sourcing
Every sentence matched against your vetted library. Unsupported sentences flagged for editor review — never auto-rejected.
Disclaimer enforcement
Required healthcare or government disclaimer detected, or auto-injected if missing. House style preserved.
Defensible evidence, in your hands.
When something does get questioned — by a regulator, a journalist, a plaintiff's attorney — these four artifacts are what your team hands over. Filed, hashed, and re-verifiable by anyone with a browser.
Public proof URL
Every verification produces a shareable link. A CISO, a regulator, a journalist — anyone can re-verify the SHA-256 chain in their own browser. We never ask anyone to trust us.
Open an example proofCompliance PDF for the CISO
One-click filable PDF stamped with audit ID, hash, sources, and disclaimers. Drops into the same evidence binder your security team is already filing for SOC 2 and HIPAA assessments.
See a sample PDFEmbed badge for the article
A one-line iframe snippet your editorial team drops into the published article. Readers see a verified ribbon. Click to walk the chain back to genesis in their own tab. Zero JavaScript dependencies.
View embed snippet<iframe src="https://assuredai.online/embed/v/214" width="100%" height="92" loading="lazy" style="border:0;border-radius:12px"> </iframe>
Voice profile scorecard
Upload 3-5 archive articles. AssuredAI extracts a voice signature — reading level, sentence rhythm, vocabulary, direct address — and scores every new draft against it. Compliance keeps you out of trouble. Voice keeps you on brand.
See voice scoring liveSix layers your CISO can audit.
Every claim above traces to a specific layer in the stack. This is the stack — the actual primitives, the actual algorithms, the actual enforcement. No magic. No black box. No vendor-only verifiability.
I/O boundary redaction
Every prompt and every response passes through a Presidio container running inside your network. Detected PHI is replaced with typed tokens before any model call. The original mapping is held in a per-session cache that is wiped at the close of the audit entry.
- Entities
- PERSON · MRN · EMAIL · PHONE · IP · DATE
- Latency
- ~80ms p99
- Egress
- Zero — PHI never leaves your perimeter
Red-flag classifier
A specialized classifier inspects every inbound prompt for medical emergencies, ideation, or symptom-prompting content. Matched prompts bypass the LLM entirely and surface a hard-coded hotline routing screen — there is no scenario in which an emergency reaches a generative model.
- Topics
- cardiac · suicidal · overdose · stroke · anaphylaxis
- Decision
- binary route · no LLM if matched
- Fallback
- 988 · 911 · poison control · NSPL
Vetted source corpus
Your retrieval cell is built from the canonical sources you trust — CDC topic pages, NIH bulletins, your own clinical content. The corpus is embedded with voyage-3 (1024-dim) and queried with HNSW cosine. Retrieved chunks are passed to the model as context, never as training data.
- Index
- HNSW · cosine · m=16 ef_construction=200
- Cells
- CDC · NIH · FDA · HHS · NEJM · provider-uploaded
- Refresh
- incremental · weekly · trace-logged
Sentence-level verification
Each sentence in the model output is mapped to the closest chunks in your corpus. Sentences without sufficient support are flagged for editor review or routed to suggest-fix, which rewrites the claim anchored to a real source. The full claim-to-source graph is persisted with the audit entry.
- Granularity
- per-sentence with character offsets
- Action
- flag · suggest-fix · auto-reject
- Audit
- every claim → cited source ID
Hash-chained audit log
Every audit entry computes SHA-256 over the previous hash plus the current row payload. A Postgres trigger enforces append-only — UPDATE and DELETE are revoked at the database level. Tampering with any historical entry breaks every entry that follows, which any visitor can verify locally.
- Algorithm
- SHA-256(prev_hash ‖ row_payload)
- Enforcement
- Postgres trigger revokes UPDATE/DELETE
- Verify
- walk-the-chain in any browser
Compliance artifacts
When verification completes, three artifacts are minted: a public proof URL that walks the chain from genesis on any browser, a compliance PDF stamped with the audit hash and sources, and an embed code your editorial team drops into the published article.
- Public proof
- /v/{audit_id} · re-verifiable in browser
- @react-pdf · CISO-filable · hash-stamped
- Embed
- iframe · zero JS dependencies
“Patients will not distinguish ‘the AI made a mistake’ from ‘your hospital gave me false information.’ A single high-profile AI error can shatter the hard-won trust a healthcare brand has built over years.”
Compliance keeps you out of court. Voice keeps you on brand.
Upload three to five articles from your archive. AssuredAI extracts a voice signature — reading level, sentence rhythm, vocabulary, first vs. second-person preference — and scores every new draft against it.
Editor sees the four dimensions that drift the most. One click takes them to a rewrite that lands the draft inside the green zone.
Lives inside the WordPress stack you already ship.
Verified articles POST directly into your wp-json/wp/v2/posts draft queue with the audit ID stitched in as post meta. Editors review and publish from the WordPress admin they already use. No new tool to learn.
Editor pastes
A draft from any source — your writers, in-editor AI tools, ChatGPT, internal AI.
AssuredAI verifies
Four-check pipeline runs. PII redacted, claims sourced, disclaimers enforced, proof URL minted.
Drops into WordPress
Article POSTs to your existing draft queue with the audit ID stitched in as post meta.
POST /api/wp-mock/drafts
{
"id": 1,
"title": "DASH eating plan for blood pressure",
"status": "draft",
"audit_log_id": 214,
"_links": {
"self": { "href": "/api/wp-mock/drafts/1" },
"ui": { "href": "/wp-mock/drafts/1" },
"proof": { "href": "/v/214" }
}
}
The only stack that ships a proof URL.
Authoring tools and enterprise LLMs are great at writing. None of them give a CISO an auditable trust artifact for the article that gets published. AssuredAI is the proof layer that sits on top of whatever you already use.
Every capability below is in the reference implementation. Drops into your existing CMS. No quarters-long build. No vendor stack to assemble.
Patient names, MRNs, emails caught before the LLM sees them
Cardiac, suicidal, overdose routes to a hotline, not the model
Every claim matched against your vetted library
Anyone with a browser can re-verify SHA-256 chain
Postgres trigger enforces append-only
One-click filable evidence
17 metrics from your archive
Drops into your existing CMS
Three ways to deploy. One platform.
Tuned to where your data lives and how regulated your posture needs to be. All three modes run the same compliance pipeline — what changes is who hosts what, and how much of the operating discipline we run for you.
Mid-size publishers without ML ops
- Source library curation included
- AI Governance Committee setup
- Public proof URLs on every publish
- Compliance PDF export
- WordPress integration
- Standard audit retention
Hospital systems and payers
- You host source library + Presidio sidecar
- We host operator console + verification UI
- BAA-friendly architecture
- Governance dashboards
- Custom audit export to your SIEM
- Quarterly compliance review
Pharma, federal, top-five payers
- Docker Compose / Helm chart in your VPC
- Zero data egress option (Ollama on-prem)
- FedRAMP, HIPAA, SOC 2 ready architecture
- Custom integrations included
- White-glove implementation
- Optional support retainer
Quoted to your data residency, content volume, and compliance posture. Every engagement starts with a 30-minute call to scope what trust costs at your scale.
Request a quoteThe audit chain is the structural lock-in: once content carries verifiable AssuredAI proof, switching vendors means re-issuing every artifact.
Questions a CISO asks first.
The technical and procurement questions that come up in every healthcare-AI sales cycle, answered up front. If yours isn't here, the live verifier at /chat is the fastest way to find out.
<PERSON_1>) before any model call. The mapping is held in a per-session cache that is wiped at the close of the audit entry. PHI never leaves your perimeter.
See it for yourself in 60 seconds.
Paste any healthcare article. Watch the pipeline run. Rewrite an unsourced claim with one click. Send the verified draft to a mock WordPress queue. Share the cryptographic proof URL. Download the CISO-filable PDF.