Healthcare Industry

Teneo AI for Patient Logistics

100% Output ControlBest Integrations EngineResolved patient interactions

AI Voice for Healthcare100% output control. Happy patients.

  • 100% Output Control
  • HIPAA Compliant
  • ISO 27001
  • Any API or MCP
  • 86+ Languages
  • Public API
01

100% output control

Every response is governed by the TLML deterministic layer before it reaches a patient. No uncontrolled LLM output ever affects a patient interaction.
02

Best-in-class integrations engine

Drag-and-drop nodes connect to any system with an API or MCP in days. The plug-and-play Public API provides stable, versioned endpoints across the full agent lifecycle.
03

Open architecture — no limitations

With Teneo there's no platform limitations — if it has an API or MCP, Teneo connects to it. Patient interactions resolved, not deflected 

The Result: Patient interactions resolved, not deflected. Pilots in 2–4 weeks.

01

The Proof

Medtronic, audited outcomes

What resolved interactions look like at scale:Medtronic across 10 business units
and 60+ contact centers

CUSTOMER VOICE: Medtronic

With Teneo, we achieved better results than we could have imagined, and the success in Cardiovascular led other contact centers to adopt the same approach.


Michael AltieriService Delivery Manager, Virtual Assistants, Medtronic
Customer story

Medtronic Case Study

Medtronic is the leading global healthcare technology company, supporting over 70 health conditions through cardiac devices, surgical robotics, insulin pumps, and patient monitoring systems.


Their contact center challenge was familiar: 63 call centers, 2,000+ agents, a legacy IVR, and cardiovascular patients — people calling about pacemakers and defibrillators — waiting longer than the clinical situation warranted. The system was deflecting calls, not resolving them. Teneo changed that.


Teneo was deployed first in the Cardiovascular Group — the highest-stakes unit, where every misrouted or unresolved call carried patient risk. The commercial and operational results were immediate.

Cost saved$6M
Interactions resolved1.05M
Agent hours freed+36,000
Patient wait time−37%
Service level+18 pts
Customer satisfaction+8%
AI agents live13
Agents on the roadmap17
02

The LLM PRODUCT Architecture Problem

Why LLM Products fail at healthcare scale

Most healthcare AI: zero output control.Teneo: 100% output control.

Here is how the architecture determines which.

There is a difference between a patient interaction being deflected and a patient interaction being resolved. Legacy IVR deflected — it pushed calls into queues, dead ends, or self-service portals the patient couldn’t navigate.

Contained is not resolved

Most AI platforms do the same thing with a more sophisticated front end. The call doesn't reach an agent, so it counts as 'contained'. The patient didn't get what they needed, so it isn't an outcome.

Contained is not resolved in contact center automation

It comes down to architecture

The reason most healthcare AI deflects rather than resolves comes down to architecture. A generic LLM product puts a large language model — GPT, Claude, Gemini — in front of a chat or voice interface and generates responses based on prompts.

The reason most healthcare AI deflects

Interaction is not accuracy

It can handle interaction without a human agent. But it cannot guarantee consistency, or that the response is correct, protocol-governed, or clinically appropriate.

Where a LLM product Breaks

The problem is not that LLMs give wrong answers intentionally. It is that they generate the most statistically probable response — which in a clinical context may differ materially from the correct, protocol-governed response. In healthcare patient logistics, the failure modes are concrete:

probabilistic ai failure in healthcare industry
01 / 04

Incorrect appointment eligibility

An LLM product giving a patient incorrect appointment eligibility based on generic data rather than actual insurance coverage and referral status creates downstream clinical and administrative failures.

02 / 04

Triage protocol drift

An LLM product summarizing triage protocols from prompts rather than applying your current clinical pathways creates inconsistency that carries patient safety risk.

03 / 04

Device support failure

An LLM product handling device support queries — a pacemaker alarm, an insulin pump error code — from a prompt rather than the manufacturer's approved troubleshooting guidance is a regulatory and safety exposure.

04 / 04

HIPAA compliance breach

An LLM product processing patient health information without auditable PII scrubbing and HIPAA-compliant data handling is a compliance violation, not just a risk.

These are not edge cases in healthcare contact centers. Device support, clinical protocol guidance, appointment eligibility, and insurance verification are the core high-volume workflows. They are also the workflows where the accuracy bar is highest and the consequences of error are most serious.

03

Certifications and compliance

THE STANDARDS Healthcare ACTUALLY REQUIRE

Certified for the compliance bar healthcare operates under

Healthcare organizations handle the most sensitive category of personal data — patient health information, diagnostic records, device performance data, insurance details. When your procurement and compliance team evaluate an AI platform for patient-facing workflows, these are the certifications and capabilities they require.
Teneo Certificates for Healthcare
01
Certification

HIPAA

What it means in an airline context

Teneo supports HIPAA-compliant deployments for all patient-facing workflows. Built-in PII detection and real-time scrubbing apply to every voice and chat interaction. Medtronic completed a several-months vendor risk assessment with Teneo before scaling deployment — all findings were remediated. Patient health information is never used to train public LLMs.

02
Certification

ISO 27001

What it means in an airline context

Teneo's full organization is ISO 27001 certified.

03
Certification

SOC 2 Type II

What it means in an airline context

Independent audit of Teneo's security, availability, and confidentiality controls. Required by most enterprise healthcare procurement teams as a baseline for cloud-based AI platforms handling patient data.

04
Certification

GDPR

What it means in an airline context

Patient data processed by Teneo is handled in compliance with GDPR. Data residency options available — EU-based deployment for European health systems with data sovereignty requirements.

05
Certification

EU AI Act

What it means in an airline context

Teneo is compliant with the EU AI Act framework. Relevant for European healthcare organisations deploying AI in patient-facing workflows covered under the Act's requirements for high-risk AI systems.

06
Certification

PII scrubbing

What it means in an airline context

Built-in PII detection and real-time redaction apply automatically to every interaction. Patient identifiers, health information, insurance details, and device data are masked and anonymized in logs. Full audit trail maintained for compliance reporting.

04

USE CASES

FROM appointments TO billing

Patient logistics interactions Teneo resolvesend to end

Teneo can help healthcare companies with 100% output control throughout, below are some examples:

Appointment and Scheduling

Device and Product Support

Billing and Administrative

Referrals
Booking
Waitlist
Pre-Appointment
Use Case

Referral

Use Cases
  • Referral status tracking
  • Next-step guidance
What Teneo Does
  • Real-time referral status lookups and pipeline position checks, answered instantly instead of waiting in an agent queue for a seconds-long system query
  • Clear next-step explanations and required-action prompts pulled directly from system records

Every flow, policy-aware and production-ready. Teneo automates conversations end-to-end — not just FAQs — with guardrails your airline’s operations and compliance teams can trust.

05

Proof Points

MEASURED IN PRODUCTION, NOT IN PITCHES
$

6M

Cost saved by Medtronic with Teneo.

1.5

M

Call handled by Teneo at Medtronic.

+

36K

Agent hours freed at Medtronic — redirected to interactions requiring human judgment, not consumed by routine queries the AI could resolve.

$

0.40

$25.96 → under $12 — cost per contact reduction in Medtronic’s Cardiovascular Group. Driven by interactions resolved by AI rather than handled by agents.

-55

%

Reduction in misrouted calls at Medtronic — from 9% to 4% misrouting rate.

-37

%

Reduction in patient wait time at Medtronic vs pre-Teneo baseline.

86

+

Languages supported natively from a single platform instance — covering multilingual patient populations.

2-4

weeks

Typical pilot launch timeline from first discovery call to live patient interactions.

questions answered

Healthcare Patient Logistics AI

Is Teneo HIPAA compliant for patient-facing healthcare AI?

Yes. Teneo supports HIPAA-compliant deployments for patient-facing workflows. Built-in PII detection and real-time scrubbing apply to every voice and chat interaction. Patient health information is never shared with large language models.

What results has Teneo delivered in healthcare?

Medtronic deployed Teneo with 10 business units and 60+ contact centers: $6M saved, 1.05M patient interactions answered. 36,000 agent hours freed. Misrouted calls from 9% to 4%. Wait time down 37%. Service level from 51% to 69% and more.

How quickly can Teneo deploy in a healthcare contact center?

Most healthcare pilots launch within 2 to 4 weeks of the first discovery call, with resolved interactions from day one of live traffic. Full deployment across scheduling, device support, billing, and diagnostic routing typically completes within 60 days.