Do you put AI in front of patients?
If you already run patient-facing AI, we govern it and give your reviewers the evidence. If you are about to, we run the program with the governance built in.
SOC 2 Type II across all five trust services criteria · HIPAA · model providers under BAA with zero data retention
The rules for AI that speaks to patients are no longer hypothetical.
- Jan 2025 · California AB 3030
generative-AI patient communications need a disclosure and a way to reach a human.
- May to Aug 2025 · Utah, Nevada, Illinois
mental-health chatbot disclosure; AI barred from delivering mental or behavioral health care outright.
- Sep 2025 · Texas SB 1188
disclosure when AI is used in diagnosis or treatment.
- Sep 2025 · Joint Commission and CHAI guidance
voluntary guidance: formal AI governance, local validation, ongoing monitoring, patient disclosure.
- Jan 2026 · California AB 489
AI may not imply it holds a clinical license.
- Jun 2026 · Joint Commission certification
a voluntary Responsible Use of AI certification opens, built on that guidance.
- 2026 to 2027 · more states, more committees
the pattern is set.
- Jan 2025 · California AB 3030
generative-AI patient communications need a disclosure and a way to reach a human.
- May to Aug 2025 · Utah, Nevada, Illinois
mental-health chatbot disclosure; AI barred from delivering mental or behavioral health care outright.
- Sep 2025 · Texas SB 1188
disclosure when AI is used in diagnosis or treatment.
- Sep 2025 · Joint Commission and CHAI guidance
voluntary guidance: formal AI governance, local validation, ongoing monitoring, patient disclosure.
- Jan 2026 · California AB 489
AI may not imply it holds a clinical license.
- Jun 2026 · Joint Commission certification
a voluntary Responsible Use of AI certification opens, built on that guidance.
- 2026 to 2027 · more states, more committees
the pattern is set.
Most of the statutory duties land on the provider or the company that deploys the AI; a few bind whoever builds it. The guidance is addressed to the same people. Your governance committee is now the gate.
Nothing reaches a patient that your policy would not allow. Every decision is on the record.
Your latest reading is high and could mean a serious heart problem. You should change your medication dose today.
Thanks for sharing today's reading. Your care team is reviewing it and will follow up with you today.
- Policy and version
- Patient messaging · v4.2
- Model and version
- BAA-covered model · v2
- Draft
- Stopped before sending
- Outcome
- Held · implied dose change
- Reviewer
- R. Chen, RN · refused the draft, phoned the patient · 14:21 PT
- Timestamp
- 2026-09-15 14:09 PT
Your rules, not ours.
Policies are written by your clinical or compliance owner, versioned, and every block traces to one.
Held, then a person.
A stopped draft does not go. The clinic's holding line goes out at once and a person decides, with the original draft and the reason on the record.
A record your committee can read.
What was proposed, what was delivered, who held it and who released it, line by line.
PHI never leaves the safe zone.
PHI REQUEST
Heart Rate: 106 bpm
Patient ID: 4287
HIPAA Tier
BAA-Covered Model Providers
HIPAA-compliant
NON PHI REQUEST
Summarize ECG Trends
General Tier
Broader AI Models
No Patient Data
PHI requests
PHI REQUEST
Heart Rate: 106 bpm
Patient ID: 4287
HIPAA Tier
BAA-Covered Model Providers
HIPAA-compliant
Non-PHI requests
NON PHI REQUEST
Summarize ECG Trends
General Tier
Broader AI Models
No Patient Data
Three outcomes on every message.
Governance layer
Meets your policy. Sent as written.
The draft is written again once, with the gate's reasons, and checked the same way. If that fails, the message is surfaced for someone you name; until they act the patient hears only what your clinic wrote in advance, nothing model-written.
The patient opted out or never consented on this channel. Nothing is sent, and the attempt is recorded.
Two weeks in observe mode, then a report your reviewers can sign off on.
Connect.
Your AI's patient-facing output flows through the gate in observe mode. Nothing changes for your patients.
Watch.
Two weeks of what the gate would have allowed or held, by policy, over the turns it answered. Unanswered turns are shown separately, with the conversation traces behind each count.
Decide.
You turn enforcement on policy by policy, and the observe report goes to your committee as the evidence for the deployment decision.
We show what the gate did; your reviewers judge.
What your compliance and IT reviewers get.
The governance report
monthly, per application, incidents with dispositions, the active policy set. A report your committee can put on the record.
The audit record
exportable; every decision traceable to inputs.
Access their way
single sign-on through your identity provider; roles; patient text visible only by explicit grant.
The paperwork
BAA, SOC 2 Type II report, subprocessor list, data-flow diagram, on request.
Every decision traceable to its inputs.
What was proposed, what was sent, which policy and model ran, who held it, and when. Exportable, on request.
Audit trail · message to pt_0000
AI draft in, checked against your policy
policy: Patient messaging · v4.2
model: BAA-covered model · v2
channel: SMS · pt_0000 · PHI tagged
hash: 0000x00 · verified
disclosure, license, scope · v4.2
14:09:01stopped · implied dose change
14:09:02second draft stopped · implied dose change
14:09:05the clinic's own text, with the disclosure attached
14:09:06draft, delivered text and the reviewer's action all kept
14:21:40Three things we do not do.
We do not author a model. Any validated model runs inside the gate.
We do not decide, diagnose or treat. The gate holds; a person acts.
We do not replace your AI. It stays yours. The gate, the queue and the record are what you add.
If you do not have patient-facing AI yet, start with a program that has the governance built in.
A between-visits program, a reading from a home device, the clinician's rules, a structured follow-up by text, held items to a person, the record to the chart, is how most clinics first put AI in front of a patient. The governance above is inside it from the first message.
Common questions
Book a governance review, or take the obligations map.
Book a governance review.
Bring the people who would sign off. We will walk your patient-facing AI through the gate and give your reviewers the evidence.
Get the obligations map.
The statute-by-state map of what lands on the deployer of patient-facing AI. We will send it the moment it is ready.