Enterprise add-on

Ask portfolio-level questions across every ChatCME activity

Outcomes Agent helps enterprise CME teams ask questions across ChatCME reports and de-identified learner interactions, so large activity portfolios become usable planning evidence.

Questions teams can ask

Across our NSCLC activities, what unmet needs keep recurring?
Which objectives generated the most learner confusion this quarter?
What evidence can support a future grant request in this disease area?
Which themes should we raise in a commercial supporter debrief?

The portfolio problem

A single activity report is useful. A portfolio of 100 or more activities is harder: grant teams, outcomes teams, and account leads cannot remember every theme, report, objective, and learner question.

Outcomes Agent is designed for that moment. It gives enterprise teams a way to ask, compare, and synthesize across the activity portfolio instead of manually reopening report after report.

Built for enterprise CME workflows

Grant evidence

Find knowledge gaps, learner questions, and unmet needs that can support future independent education planning.

Supporter debriefs

Prepare aggregated, de-identified summaries for commercial supporter conversations without exposing learner-level data.

Portfolio planning

Compare activities across therapeutic areas and spot repeated needs that single-program reports can miss.

Renewal narratives

Turn many activity reports into a concise story about engagement, evidence use, and future opportunity.

Evidence sources the agent can reason over

Outcomes Agent is meant to sit on top of the reporting and analytics layer your team already uses in ChatCME.

Provider Outcomes Reports
Commercial Supporter Insight Briefs
Activity metadata and learning objectives
De-identified learner questions and interaction signals

Foundation

Reporting evidence first

Outcomes Agent should answer from the reporting and analytics record already created inside ChatCME, then point users back to the underlying source evidence for review.

Activity-level reports stay the source of record.
Portfolio answers remain review-only drafts.
External use remains provider-approved.

Designed for governed insight, not unsupported claims

The strongest use case is not generic AI chat. It is governed, source-aware synthesis for teams that need to explain what their education portfolio is showing.

De-identified by design

The agent is designed around aggregated and de-identified learner interaction evidence, not learner identities.

Supporters stay outside the workflow

Commercial supporters receive provider-approved summaries only. They do not get editorial access or control.

Outcomes analytics, not overclaims

The page distinguishes outcomes analytics and knowledge-gap signals from measured learning outcomes.

From question to usable portfolio evidence

  1. 1

    Ask across the portfolio

    Start with a therapeutic area, objective, supporter need, or future grant question.

  2. 2

    Review the evidence

    The response points back to the reports, activities, and de-identified signals behind the synthesis.

  3. 3

    Use it with review

    Turn the answer into a planning brief, supporter discussion, renewal narrative, or grant-evidence starting point.

Talk with us about Outcomes Agent

We will walk your team through how Outcomes Agent can support grant evidence, supporter debriefs, renewal narratives, and portfolio planning across many activities.

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