AI-Powered Voice Agents for Healthcare UK

Conversational AI that streamlines patient interactions, boosts staff productivity, and supports safer clinical decisions.

Get Started

Transforming Clinical Workflows with Conversational AI

Across the United Kingdom, healthcare teams are under increasing pressure to reduce wait times, cut administrative overhead, and deliver consistently high-quality patient experiences. AI-powered voice agents are rapidly becoming an essential tool in meeting these demands. Acting as an always-available digital assistant, a voice agent can handle appointment bookings, prescription refills, post-discharge follow-ups, and routine triage calls without human intervention freeing clinicians to focus on complex cases.

Our solution integrates natural language understanding, speech recognition, and domain-specific clinical intelligence to provide context-aware responses that align with NHS standards and GDPR requirements.

Cabot’s healthcare-focused engineering teams guide you from discovery to deployment, ensuring rapid ROI and long-term scalability. With extensive experience in HL7/FHIR integrations, cloud-native architectures, and ISO 27001-aligned security, we help you launch conversational AI that healthcare professionals trust.

Our Technology Stack

Speech Recognition: Microsoft Azure Speech Services, Google Cloud Speech-to-Text
NLP & NLU: Dialogflow CX, Rasa, Amazon Lex
Telephony: Twilio Voice, SIP, WebRTC
Cloud & DevOps: Azure, AWS, Kubernetes, Docker
Data & Analytics: Elastic Stack, Power BI, Grafana
Security & Compliance: OAuth 2.0, OpenID Connect, Key Vault

Speak to an AI healthcare consultant today

Why Partner with Cabot

Cabot has spent more than a decade delivering mission-critical software for healthcare providers across the UK, Europe, and North America. Our dedicated healthcare practice blends deep domain knowledge with cutting-edge AI expertise to create solutions that satisfy clinicians, patients, and regulators alike.

We work collaboratively with your clinical and IT stakeholders to map workflows, identify high-impact use cases, and design voice interactions that feel natural and supportive. From there, our engineers leverage a microservices architecture, container orchestration, and CI/CD pipelines to accelerate development without sacrificing quality. Robust automated testing, penetration testing, and code reviews ensure each release meets stringent security and performance benchmarks.

Our commitment does not end at go-live. Through continuous monitoring, model retraining, and user-centred enhancements, we help you evolve your voice agent as patient needs, clinical guidelines, and regulatory landscapes change. When you choose Cabot, you gain a strategic technology partner invested in your long-term success.

Our Proven Implementation Process

  1. Discovery & Use-Case Mapping – Joint workshops to prioritise high-value interactions.
  2. Design & Prototyping – Conversation flows, voice persona, and compliance checkpoints.
  3. Development & Integration – Agile sprints delivering secure APIs and EHR connectors.
  4. Clinical Validation – Pilot with real patients and staff; refine based on feedback.
  5. Deployment & Training – Phased rollout, user onboarding, and knowledge transfer.
  6. Continuous Optimisation – Performance monitoring, model updates, and feature expansion.

Our Industry Experience

volunteer_activism

Healthcare

shopping_cart

Ecommerce

attach_money

Fintech

houseboat

Travel and Tourism

fingerprint

Security

directions_car

Automobile

bar_chart

Stocks and Insurance

flatware

Restaurant

Request a personalised demo

Connect with Our Team

FAQ

Below are answers to common questions from healthcare organisations evaluating voice AI.

  1. How secure is the voice agent?
    • All data is encrypted in transit and at rest. Role-based access controls, audit logs, and ISO 27001-aligned processes protect sensitive information.
  2. Will it integrate with our existing EHR?
    • Yes. We provide HL7, FHIR, and custom API connectors. Our integration engineers collaborate with your vendor or in-house IT team to enable seamless data exchange.
  3. Can the system recognise regional UK accents?
    • The speech engine is trained on diverse British English datasets, ensuring high accuracy for Scottish, Welsh, Northern Irish, and regional English dialects.
  4. What is the typical implementation timeline?
    • Most projects move from discovery to pilot in 8–12 weeks, followed by a phased rollout across additional departments or sites.
  5. How do we measure ROI?
    • Key metrics include reduced call-centre costs, clinician time saved, increased patient satisfaction scores, and lower appointment no-show rates. Our analytics dashboard tracks each metric in real time.
Overview
Services
Our Values
Clients