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CommsRx

Insights

Plain answers to the questions pharma and biotech communications leaders are asking about AI, with the evidence behind them.

CommsRx is a strategic communications system for pharma and biotech teams. Ally is its AI agent: she gives counsel, builds the plan and drafts, and checks the message variants she derives against the approved message, while a named person confirms every decision that matters.

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What is agentic AI for pharma communications?

Software that carries a communications job through several steps while a named person confirms every decision that matters.

How do AI answer engines choose health sources? What our study found

Adding patient or caregiver context changed the cited sources past the study's threshold in 29.4% of eligible comparisons.

Can AI help with MLR review without creating compliance risk?

Yes, if AI organizes the review and never makes the regulatory call.

How do you keep one approved message true across audiences and languages?

Check every version against what the message says and what it does. Say less, never more.

Similarity is not compliance

In our tests, a cure claim scored closer to the approved release than real published adaptations did.

How should pharma communications teams prepare for AI search?

Measure, map the sources, publish clear dated answers, and measure again.

For the moments that define the job

The CEO says publish. What should your AI say?

Five escalating instructions, one false sentence, and the strongest true statement offered each time.

How do you prepare communications for a Phase 3 topline readout?

Write every outcome in advance and lead with the primary endpoint, whatever it shows.

How do you prepare communications for an FDA decision date?

Prepare three outcomes and build every approval message from the label.

How do you monitor what AI says about a drug or a disease?

Ask as your audiences ask, on a schedule, and end every check in an action.

How do patients use AI for health information, and what should communications teams do about it?

Patients take symptoms, diagnoses, treatment decisions, access hurdles and ongoing care to AI. Each moment needs different source material and fails differently when AI summarizes it. Test the questions people actually ask, with their context.

Research

The Disclosure Effect: when the same health question was asked with patient or caregiver context, the sources AI answer engines cited changed past the study's threshold in 105 of 357 eligible comparisons (29.4%). By Signal Fidelity Group, founded by Abhi Basu. Not peer reviewed; did not test medical accuracy.

Questions about CommsRx

What is CommsRx?

CommsRx is a strategic communications system for pharma and biotech communications teams. It runs one chain, from counsel to a confirmed strategy, messages, a plan, materials and review, with one AI agent, Ally, and a record of every decision.

Who is Ally?

Ally is the CommsRx AI agent. She gives counsel, builds the plan and drafts, prepares work for review, and checks the message variants she derives against the confirmed messages they came from. She works from situation playbooks for moments such as a Phase 3 readout, an FDA decision, a safety issue or a crisis.

Does CommsRx approve anything?

No. Machine-made work stops at "ready for review." Only a named person confirms a strategy or messages, and approval belongs to the team's own medical, legal and regulatory reviewers.

Does the CommsRx app publish or send anything on its own?

No. Going live is a recorded decision by a person, and follow-up emails open in the user's own mail program, ready to read and send.

How does CommsRx keep adapted versions true to the approved message?

Each approved statement is fingerprinted by what it says and what it does. A version may say less than the approved message, never more; a known forbidden phrasing reproduced word for word is blocked; anything uncertain reaches the communications lead marked "needs a read." How it works

Where do the findings on this site come from?

From CommsRx's own evaluation records, from Signal Fidelity Group's published research, and from public studies, which are cited with the date they were checked. Corrections go to help@signalfidelitygroup.com.

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Glossary · About the editor, Abhi Basu · Request a demo