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

How is Medtronic using voice AI agents for medical device support?

Medtronic · Medical Devices & Diagnostics (MedTech)

Header image: A doctor wearing a headset on a video consultation at a laptop

Medtronic runs voice-first AI agents built with Teneo.ai for device support, sales enablement, and internal HR/IT/legal help across 135 countries. Teneo reports $9-10 million saved by the Cardiovascular group, cost per contact cut from $26 to below $12, and 4-5 hours per week saved for sales reps.

Reported outcomes

savings (Cardiovascular group)
$9-10 million
Source [1] · self-reported
cost per contact
from $26 to below $12 (54% reduction)
Source [1] · self-reported
sales rep time
4-5 hours per week saved, enabling 3 additional sales calls weekly
Source [1] · self-reported

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

How it works

  1. 13 active agents: 5 internal (HR, IT, legal) and 8 external (patients, providers, distributors, sales).
  2. Device troubleshooting, error-code resolution, multilingual technical support.
  3. Sales enablement with instant documentation access.

Risks & compliance

  • Regulated device support; agents must not replace clinical decision-making
  • Vendor-published webinar summary; not independently audited

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

Casefile: MedTech angle

Reps reclaiming 4-5 hours a week via instant documentation access is a concrete benchmark for device sales teams.

Sources

[1]Teneo.ai· vendor blog· Undated (accessed Oct 17, 2026)
“Cost per contact reduced from $26 to below $12 – a 54% reduction”
Webinar on Demand: How Medtronic Achieves $10M in Savings with Voice-First Agentic AI

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 3/3 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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