Catalog record · Customer Experience
Stage as of source date not established · historical report, not live reconfirmation.
Mount Sinai New York scheduling-line assistant
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
Ava is a voice AI system embedded in Mount Sinai's scheduling telephone lines and answers patient questions.
- Reported stage
- Production
- Technology
- NLP
- Business function
- Front Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Issuer describes patients currently talking to Ava on scheduling lines. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Issuer does not publish deployment counts, error rates or detailed underlying models. Do not confuse with Mount Sinai Medical Center in Miami Beach. Test authentication, escalation and supported intents; the source does not establish autonomous clinical or financial decisions.
Potential FS application · inferred
Inferred: Bank telephone servicing: answer approved branch/service questions and route appointment requests after-hours.
Voice interface handles repeatable navigation within a live service channel.
Original industry: Healthcare delivery. Transfer limits: Test authentication, escalation and supported intents; the source does not establish autonomous clinical or financial decisions.
Recorded dependencies
- Workflow-specific human review and permissioned access to source records
- Local evaluation of omissions, false assertions, escalation failures and total review time
Source register
- Leading in Artificial Intelligence: Strategically Employing AI to Improve Outcomesreports.mountsinai.org · opens in a new tab
Mount Sinai Health System · issuer · full-text · Publication date not recorded
Research lanes: health_life_sciences · Batch global-discovery-2026-10-26. Coverage and remaining gaps