Ellipsis Health - Sage, Voice AI Care Management for Salesforce
- Category rank
- #33 in Case Management
- Price from
- $200,000 / company / year (USD)
- Listing audit
- 65/100
Ellipsis Health - Sage, Voice AI Care Management is a Salesforce AppExchange app by Ellipsis Health.
Ellipsis Health - Sage, Voice AI Care Management is the #33 ranked Case Management app on Salesforce, as a paid app, as of Nov 5, 2026.
AppRanks verdict
Generated from marketplace data as of Nov 5, 2026
Ellipsis Health - Sage, Voice AI Care Management ranks #33 of 73 in Case Management on Salesforce. It has no reviews on Salesforce yet. There is no free plan — compare the paid plans below before installing.
Pros
- No standout positives in the measured data.
Cons
- −No reviews yet — fit and reliability are unverified by other merchants
- −No free plan (paid) — evaluation needs a paid plan or a trial
About Ellipsis Health - Sage, Voice AI Care Management
How Ellipsis Health - Sage, Voice AI Care Management works
Health Plans face growing complexity: members have more needs, and staff shortages stretch teams thin.
Ellipsis Health offers Sage, an emotionally intelligent AI voice agent powered by our Empathy Engine, trained on millions of clinical conversations. Sage listens, responds consistently, and connects members to care—anytime.
Sage’s integration with Salesforce Agentforce Health enables Care Managers and Nurses to deploy assessments and questionnaires at scale, increasing engagement and completion of critical elements to ensure members receive the care they need.
Key features
- Installation and configuration of Sage in Salesforce Agentforce Health takes approximately 1 hour. Sage connects to any in-built or customized questionnaire without additional technical configuration.
- Sage will autonomously deliver all assessments with limitless scalability through batch or individualized scheduling. Automated escalation with contextual handoff when potential risk factors are identified or upon patient request.
- API-first architecture for flexible integration with additional sources of pertinent patient data for conversational accuracy and reduction of errors.
