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AI governance leaders

AI drafts. Your reviewers decide. The record proves it

When AI writes patient text, your committee needs to know it was checked, and who approved it. HealthLiteracyCopilot checks that each change means what the source says. It checks doses and steps. It applies your rules for data sent to AI. It logs every approval.

For CMIOs, CNIOs and AI governance committees

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Sketch of an AI draft with one flagged line and a source tag, passed to a reviewer, then an approved version.AI draftSourceReviewerApproved

What you check first

AI drafts. Your reviewers decide.

  • Each revision is compared with the source for doses, steps and "do not" rules.
  • Your organization sets what data may be sent to AI.
  • Every approval is logged.

Illustrative example, with a synthetic portrait.

What you're measured on

Open a measure to see why it matters and how HealthLiteracyCopilot helps.

  • Safe AI use

    Why it matters
    AI-drafted patient text can drop a dose, a step or a "do not", and patients act on what they read.
    How HealthLiteracyCopilot helps
    Each revision is compared with the source for doses, steps and "do not" rules. In strict mode, the knowledge base answers from your sources and says so when they don't have the answer.

    Checks flag risks for a person to review. A clinician still decides.

  • Policy compliance

    Why it matters
    Your AI use policy sets what data may go to AI and who reviews AI text, and some states add review and disclosure duties.
    How HealthLiteracyCopilot helps
    Your organization sets what data may be sent to AI, and those rules apply to every request. Each AI suggestion waits for a named reviewer.

    A reviewer record supports your review process. Whether it meets a state law is a question for your counsel.

  • Audit trail

    Why it matters
    Your committee, and regulators, may ask who reviewed an AI message and when.
    How HealthLiteracyCopilot helps
    Every approval is logged with the reviewer's name, the time and the version. The audit trail is append-only, and you can export it.

See a finished review first

A synthetic Medicare Advantage denial letter, reviewed start to finish

  • Findings by page and criterion
  • Proposed edits with a reason for each
  • A reviewer decision on every change
  • Before and after versions side by side
  • A report you can share
  • An evaluation brief for your approver
Open the sample review

The documents you own

Documents and the measure each one touches
DocumentWhat it touches
AI-drafted portal repliesState review and disclosure duties
AI-drafted discharge instructionsClinical review
Chatbot answersYour AI use policy

What you'd use most

Try it on one of your documents

Send a blank template, not a copy with a patient's or member's details.

Compose an email

Questions

Does a reviewer record meet California AB 3030?

That is a question for your counsel. The record shows who reviewed each message and when, which supports your review process.

Can it check text from any AI tool?

Yes. Paste or upload the draft. It is scored against the same criteria as any patient handout.

Does it replace our AI governance process?

No. It gives your committee a review step and a record to inspect.