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Grade BproductionSource date Oct 17, 2026· Last verified Oct 17, 2026

How is Oviva using Agentforce for patient support?

Oviva · Hospitals & Health Systems

Header image: An eye doctor examining a patient at a slit lamp

Oviva, a digital health provider for weight-related conditions, uses Salesforce Agentforce trained on its FAQs as first-level patient support. Salesforce reports more than 7,000 queries handled in the first two months, about 40% fully resolved by Agentforce.

Reported outcomes

queries handled (first two months)
more than 7,000
Source [1] · self-reported
fully resolved by AI
around 40%
Source [1] · self-reported

Outcomes are reported exactly as stated by the source; we have not independently audited them.

How it works

  1. Agentforce answers patient FAQs on Experience Cloud.
  2. Unresolved issues are routed to staff via Omnichannel Routing.

Risks & compliance

  • Health data protection (GDPR); no clinical advice
  • Vendor-published results

Healthcare cases cover operational and commercial workflows. Nothing here is medical advice or a claim about a device's or drug's efficacy.

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Tools mentioned & how to build it

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Tools mentioned

  • Agentforce (Salesforce)
    Salesforce's agent platform across service, sales and field service.

Build a version yourself

  • n8n
    Open-source workflow automation with AI agent nodes; self-host or cloud.
  • Retell AI
    Build and deploy phone agents for scheduling, intake and call routing.
  • Make
    Visual no-code automation with AI agents; good for intake, routing and follow-up flows.

All tools by category →

Sources

[1]Salesforce· vendor customer story· Undated (accessed Oct 17, 2026)
“In just the first two months, more than 7,000 support queries have been handled this way, with around 40% fully resolved by Agentforce.”
Trailblazer Story: Oviva

Grade rationale: Named organization with a quantified outcome from the vendor or the organization itself (self-reported). Automated check on Oct 17, 2026: 1/1 quotes and 2/2 outcome claims matched the source. Compiled by the Agent Casefile research desk (AI-assisted; see methodology). Spot an error? Request a correction.

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