AI-Powered Voice Agents for Healthcare USA

Conversational AI built for U.S. healthcare—automate patient calls, triage, and admin tasks while staying 100% HIPAA-compliant.

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Redefining Patient Communication for U.S. Providers

From overcrowded call centers to staff burnout, American health systems face mounting operational challenges. Our AI-powered voice agents act as a digital front door that handles routine interactions—appointment booking, benefits verification, prescription refill requests, and more—freeing clinicians for direct patient care.

  • Regulatory alignment with HIPAA, HITECH, and CMS interoperability mandates
  • 24/7 multilingual support covering English, Spanish, Mandarin, and 25+ other languages
  • Seamless hand-offs to human agents for sensitive or complex queries

Whether you operate a community clinic, a multispecialty network, or a telehealth startup, our proven framework accelerates rollout without compromising security or clinical accuracy.

Our Technology Stack

Conversational AI
Dialogflow CX, Amazon Lex, Azure Bot Service, Rasa

Speech-to-Text
Google Speech Medical, AWS Transcribe Medical, Deepgram

Text-to-Speech
Amazon Polly Neural, Google WaveNet, Azure Neural TTS

Programming Languages
Python, Node.js, Java, C#

Cloud Platforms
AWS, Microsoft Azure, Google Cloud Platform

DevOps & Security
Docker, Kubernetes, Terraform, HashiCorp Vault

Database & Storage
PostgreSQL, MongoDB, Amazon RDS, DynamoDB

Integration Standards
FHIR, HL7 v2/v3, X12, SMART on FHIR

Analytics & Monitoring
ELK Stack, Prometheus, Grafana, Datadog

Security & Compliance
SOC 2, HIPAA Toolkit, OWASP Top 10 safeguards

Testing & QA
Jest, Postman, Newman, Selenium

CI/CD
GitHub Actions, Jenkins, CircleCI

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Why U.S. Healthcare Organizations Choose Cabot

Cabot blends decade-long healthcare experience with cutting-edge AI research to deliver solutions that are secure, scalable, and clinically sound.

  • Domain Expertise: Cross-functional teams of data scientists, clinicians, and UX strategists
  • Regulatory Alignment: Compliance playbooks covering HIPAA, Part 2, ADA, and state privacy rules
  • Rapid Time-to-Value: MVPs in as little as 8 weeks using modular micro-services
  • Continuous Optimization: Quarterly model retraining and A/B testing against U.S. patient cohorts
  • Proven Outcomes: 40% reduction in call-center load and +22-point improvement in patient satisfaction scores

Our Proven Implementation Process

  1. Discovery & Alignment – Map clinical workflows, define KPIs, and outline compliance needs.
  2. Design & Prototyping – Create conversation flows and low-fidelity prototypes for rapid feedback.
  3. Development Sprint – Build NLP models, integrations, and security layers in agile cycles.
  4. Pilot & Validation – Launch with a limited patient cohort, capturing satisfaction and safety metrics.
  5. Scale & Optimize – Full rollout, analytics monitoring, and iterative enhancements.

Our Industry Experience

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Healthcare

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Ecommerce

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Fintech

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Travel and Tourism

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Security

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Automobile

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Stocks and Insurance

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Restaurant

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Frequently Asked Questions

  1. Is the solution HIPAA-compliant?
    Absolutely. All data is encrypted in transit and at rest, with strict role-based access and audit logging.
  2. Can it integrate with our existing EHR?
    Yes. We use FHIR, HL7, and custom APIs to connect with Epic, Cerner, MEDITECH, and other systems.
  3. How do you handle accents and dialects?
    We train acoustic models on diverse U.S. accents and continuously retrain with real-world data.
  4. What languages are supported?
    30+ languages, including English, Spanish, Mandarin, Tagalog, and Vietnamese.
  5. What’s the typical deployment timeline?
    Strategy & design: 2–4 weeks; MVP: 6–8 weeks; pilot launch: ~3 months.
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