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Solution · Medical & MLR

Give reviewers the answer, source, and context.

Move from an AI signal to the answer and evidence behind it. Keep the interpretation and final call with the team.

The challenge

Commercial teams need speed; medical and review teams need enough context to distinguish a signal from a supportable conclusion.

AI Pulse brings the questions, captured answers, cited sources, and owners into one place.

Questions to answer
  • What exactly did the AI answer say?
  • Which source or citation influenced the observation?
  • Is the relevant message present, absent, or misattributed?
  • What review or escalation is actually warranted?
What the team receives

A clear view of what needs attention

01

Review packet

Question, answer, provider, citation, source domain, and observation in one place.

02

Claim context

A clear view of the message being assessed and the evidence needed for interpretation.

03

Review queue

Prioritized observations with an owner, status, rationale, and resolution.

From signal to review

A clear investigation path

Each step keeps the original question and evidence in view, so Brand, Insights, Medical, and agency partners can work from the same facts.

1

Open the flagged signal

2

Read the captured answer

3

Review the cited and supporting sources

4

Record the team’s decision

Detailed methodology

How PI-backed claim review works

Review the method for comparing AI-generated brand claims with prescribing information and routing ambiguity to human reviewers.

Read the methodology

See what the full report looks like.

The sample uses fictional brands and clearly labeled sample data, so your team can review the format before sharing sensitive information.

View sample report