As a healthcare practitioner, you might be considering adopting artificial intelligence (AI) agents to shorten wait times and reduce missed appointments. As they handle routine tasks, you can free more staff to focus on other core activities, such as providing high-quality patient care.
The challenge is choosing the right agent for your needs and budget. Platforms significantly vary in features, pricing, compliance coverage, and integration requirements. The wrong choice costs time and budget that you cannot afford to lose.
This guide to the top AI agents in healthcare customer service evaluates eight platforms on capability, real-world fit, and required implementation. Keep reading to see which solutions best support your practice.
What are the top AI agents in healthcare customer service?
According to the AMA’s 2026 physician survey on augmented intelligence, over 80% now use AI in a professional context, double the share reported in 2023. Nearly three in four anticipate that AI will automate administrative duties.
This shift has competitive implications. As more practices automate processes such as scheduling and patient communication, not adopting AI increases the risk of falling behind on response times, staff efficiency, and patient experience.
But choosing the wrong platform can be just as costly as not adopting one at all. A poor fit can disrupt operations and erode patient trust. It can consume the time and budget that the technology was meant to save.
To inform your decision, we’ve rounded up eight top AI agents in healthcare customer service in the market today. We evaluated them based on capability, compliance coverage, integration requirements, and real-world fit.
Retell AI: HIPAA-compliant voice agents for secure patient communication
Retell AI builds production-ready voice agents tailored for high-volume patient calls, with a specific emphasis on HIPAA compliance and EHR integrations. While its platform can power a virtual front desk, it functions primarily as a high-performance voice infrastructure that allows developers to build agents that can:
- Verify patient identity.
- Book or change appointments.
- Handle basic billing and prescription refill.
- Escalate to a human when needed.
Retell advertises end-to-end encryption, role-based access, audit logging, and support for common healthcare APIs, positioning itself as a voice-first solution for secure, phone-based automation.
Retell’s strengths include:
- Voice-centric architecture that supports natural conversational flows and fallback handling for telephone users
- Built-in HIPAA and SOC 2 controls
- Flexible API architecture and webhooks that enable deep, custom integrations with EHRs and scheduling systems
- Tool suite for testing and monitoring agents in production
The platform also emphasizes low-latency live handoffs so agents and clinicians get full context when calls transfer. These capabilities make it well-suited for clinics, urgent care chains, and pharmacies that rely heavily on voice interactions.
Voice-first systems can struggle with extremely noisy audio, heavy regional accents, or long, multi-part freeform patient inputs unless models are extensively fine-tuned with in-domain audio.
Retell is a top choice for engineering-heavy teams, but it has recently introduced drag-and-drop conversation builders and no-code templates. While it is no longer strictly for developers, allowing non-technical administrators to deploy functional agents, its full power still lies in its modularity. You will likely still need dedicated technical resources to connect the voice engine to deep backend healthcare logic and patient databases.
Finally, while the platform emphasizes compliance, you must still validate local telephony rules and consent workflows for call recording in your jurisdictions.
If your primary need is compliant, scalable phone automation that reduces live-agent load while preserving secure patient workflows, Retell AI is a standout choice among the top AI agents in healthcare customer service.
NiCE CXone: Agentic AI for patient engagement
NiCE AI for customer service is designed to run across voice and digital channels. The product is marketed as a turnkey solution for patient engagement functions, such as appointment management, insurance verification, prescription refills, lab result triage, and digital intake.
It comes with agentic AI and healthcare-specific flows, so you can deploy faster than building from scratch. NiCE reports strong intent recognition and containment rates, making it an attractive option for enterprise contact centers and healthcare systems.
NiCE’s platform provides:
- Reusable, industry-specific conversation modules
- Multilingual support
- Omnichannel orchestration
- Built-in routing to ticketing systems
- Bidirectional EHR write-back
- No- and low-code tooling
For larger health systems, their agentic approach reduces manual workflows and supports integration with customer relationship management (CRM) systems, scheduling engines, and back-office platforms.
Because NiCE CXone targets enterprise customers, smaller clinics might find the platform feature-rich but complex to configure. Pretrained modules expedite deployment but still require customization to safety-critical clinical phrasing and local regulatory language. Without careful testing, misclassification of intent can lead to frustrating patient experiences.
Also, omnichannel orchestration depends on properly mapping backend systems. Gaps in integration can erode the promised benefits of containment and automation.
If your priority is enterprise-grade omnichannel automation with pretrained healthcare workflows, NiCE is worth evaluating, provided your team has the technical resources to configure and maintain it.
Sully.ai: Workflow automation for healthcare operations
Sully.ai positions itself as a coordinated ecosystem of AI agents that operate across the entire patient journey. Unlike other options that offer a single-function solution, Sully enables multiple specialized agents to work together inside clinical and administrative systems.
Sully functions as an AI workforce that embeds directly within EHR workflows and connected tools. These agents can:
- Scribe clinical notes in real time.
- Populate structured EHR fields.
- Automate patient intake and onboarding.
- Conduct pre-visit symptom screening.
- Generate draft documentation and care plans.
- Support downstream workflows such as billing and scheduling.
What differentiates the platform is how these agents interoperate. This ecosystem is powered by Doctor-LM, a proprietary model trained specifically on medical encounters to achieve clinical accuracy across every agent. A symptom intake agent can feed directly into documentation, which, in turn, supports billing and coding, creating a continuous, automated workflow.
Smaller teams can adopt a unified layer that connects front-office, clinical, and back-office functions with minimal overhead.
The modular design also supports phased adoption. A practice might begin with a scribe agent to reduce clinician burnout, then expand into intake automation or revenue cycle support as needs grow. This lowers upfront risk while allowing the organization to progressively build a more automated, scalable operation.
healow Genie: AI call center support for healthcare teams
healow Genie is an AI-powered call center assistant developed by eClinicalWorks, designed specifically for healthcare operations. It automates inbound and outbound calls to manage scheduling, reminders, prescription refills, and lab result notifications.
The platform sits on top of eClinicalWorks’ EHR ecosystem, so agents can access real-time patient information, update records, and assist live staff during calls. healow Genie enables healthcare providers to handle large call volumes without sacrificing personalization or accuracy.
Key features include:
- An AI engine that supports voice recognition and intent routing, automatically directing patients to the right department or specialist
- Customizable scripts and multilingual support
- Dashboards to track call metrics, missed appointments, and follow-up completion rates, helping managers measure performance and patient satisfaction
Although developed by eClinicalWorks, healow Genie is EHR-agnostic and can be integrated with most leading EHRs and existing phone systems. However, it remains particularly advantageous for eClinicalWorks users, as the native integration enables the most seamless real-time data exchange with minimal technical overhead.
Its voice AI is optimized for structured interactions, so more complex medical inquiries might still need a human agent. Additionally, customization for smaller practices often requires technical support or add-on modules, increasing total deployment cost.
For healthcare systems already invested in eClinicalWorks, healow Genie stands out as one of the top AI agents in healthcare customer service.
Oracle AI: Embedded clinical and administrative intelligence
Oracle AI brings automation and conversational intelligence directly into the Oracle Health ecosystem. Its AI agents are embedded within Oracle Fusion and Oracle Health applications, allowing clinicians, schedulers, and billing staff to access AI-driven recommendations and conversational interfaces without switching systems.
These agents support:
- Claims management
- Prior authorization
- Appointment scheduling
- Patient outreach
The platform’s standout feature is the Oracle Health Clinical AI Agent. Moving beyond simple transcription, this agent now uses semantic reasoning to draft clinical notes and structured orders, such as prescriptions and lab tests, in real time based on patient-clinician conversations. This allows doctors to spend less time on manual data entry and more time on direct patient care.
Oracle AI agents combine predictive analytics with conversational capabilities. They can proactively flag patient risk, suggest next-best actions, and automate administrative coding and billing review. Tight integration with Oracle Cloud Infrastructure promotes high security, scalability, and compliance with healthcare data standards. The platform’s agentic architecture allows you to train models with your own data. Its real-time analytics dashboards also support continuous process improvement.
However, as with many enterprise platforms, Oracle AI’s integration capabilities can also be challenging. The implementation requires significant IT resources and potentially long deployment timelines. If you’re running a smaller practice, licensing and infrastructure costs might be prohibitive. Additionally, because the platform’s full potential is unlocked only within Oracle’s ecosystem, using mixed EHR environments causes interoperability limitations.
Despite its limitations, Oracle AI is a strong contender among the top AI agents in healthcare customer service for large healthcare networks aiming to unify clinical intelligence.
Jotform AI: Configurable agents for medical support scenarios
Jotform AI has evolved from a form-based automation engine into a platform that supports autonomous AI Agents. While it still excels at digitizing patient intake through structured data collection, its 2026 suite enables clinics to build conversational agents trained on specific practice documents to handle dynamic, context-aware interactions.
With Jotform AI, healthcare teams can:
- Create digital intake forms and questionnaires without coding.
- Train agents on clinical manuals or practice FAQs to support context-aware patient questions.
- Deploy phone agents that can answer calls and collect patient details verbally.
- Guide patients through structured data collection using both conversational AI and conditional logic.
- Embed forms and agents across the web, mobile, WhatsApp, or SMS.
- Automate appointment requests, scheduling flows, and follow-ups.
The platform provides a wide range of templates for common healthcare use cases, including intake and basic consultation workflows. Its strength lies in speed and the ability to bridge the gap between a chat-style interaction and a structured database.
However, it is important to recognize the platform’s limitations. While the new AI Agents are more context-aware than traditional forms, they still rely heavily on the quality of the training data provided by the user. It remains less suited to high-stakes clinical decision support than enterprise-grade medical models.
Jotform is also not HIPAA-compliant by default, and clinics must take specific steps before using it to collect or process Protected Health Information (PHI):
- Sign a business associate agreement (BAA) with Jotform.
- Explicitly enable HIPAA settings within the account.
- Upgrade to Gold and Enterprise plans to access HIPAA-compliant features.
Failure to complete these steps means the platform should not be used for handling PHI. Clinics are responsible for configuring and maintaining compliance, including proper data handling and access controls.
Minerva CQ: Agentic voice support for real-time healthcare assistance
Minerva CQ is an agent-assist AI platform designed for live voice and digital interactions, supporting customer-facing agents with real-time suggestions, workflow orchestration, and contextual intelligence.
Key features include:
- Real-time transcription and automatic speech recognition across multiple languages for voice-based workflows
- Live conversation analysis to identify what the patient is asking, detect emotion or frustration, and surface suggestions or actions accordingly
- Suggestion of next-best actions to the agent, enabling shorter handle times and more personalized service
- Post-call summary, analytics, and agent-knowledge surfacing
While Minerva CQ is designed to augment human agents rather than fully replace them, its 2026 native health connectors have significantly closed the gap in EHR and Claims integration. It can now automatically surface patient history, pending claims, and billing status from systems such as Epic or Salesforce Health Cloud in real time, reducing the agent’s manual search time.
However, for specialized clinical documentation (e.g., SOAP notes), it remains an assistive tool rather than a fully automated scribe.
Advanced features such as multilingual ASR and real-time agent guidance might come at a premium and require robust technical support. If your organization runs a high-volume service desk and wants to transform agent performance with real-time AI assistance, Minerva CQ registers strongly among the top AI agents in healthcare customer service.
Notable: Intelligent agents for charting, intake, and task automation
Notable offers a healthcare-specific AI platform that emphasizes operational workflows, including intake, scheduling, referrals, authorizations, charting, and revenue-cycle tasks. While their automation follows defined instructions, AI agents can analyze, learn, adapt, and execute decision-making workflows.
It features the following:
- Low-code and drag-and-drop flow builder to create, train, and monitor custom AI agents with ready-made skills for contact-center, intake, scheduling, and revenue cycle
- Ready-made modules for registration and intake, scheduling and referrals, authorizations, care-gap closure, and revenue cycle management
- Well-supported voice, SMS, web chat, and inbound and outbound workflows to scale across patient-facing and back-office services
- Performance tracking, audit logs, model governance, and oversight
While robust in administrative workflows, Notable might require significant change management and workflow redesign if you’re migrating from legacy manual processes, which could slow adoption.
To deliver full value, Notable agents must also integrate with your EMRs, scheduling systems, billing engines, and other backend infrastructure.
How do you get started with an AI agent in healthcare customer service?
Implementing AI agents in your practice begins with selecting the technology, defining the deployment strategy, and establishing a partnering model. One of the most effective routes is through a hybrid outsourcing model where you engage a business process outsourcing (BPO) firm that offers AI-enabled customer support services, and you get access to those AI agents.
The BPO provider manages staffing, telephony, data integration, and the compliance framework, while you maintain oversight of clinical protocols, patient experience strategy, and quality metrics. You define the patient journeys, while the BPO configures the AI agent platform and ensures it meets your compliance requirements.
Outsourcing providers that understand how outsourcing works and can anticipate BPO service issues are best positioned to help you integrate AI agents effectively.
That means selecting a partner that offers the underlying AI platform and has experience with healthcare workflows, regulatory and data-security requirements, transition management, multilingual support, and performance monitoring.
The bottom line
From HIPAA-compliant voice agents to intelligent workflow automation systems, the top AI agents in healthcare customer service prove that technology and human care can work seamlessly together.
The most successful healthcare practices will be those that pair AI innovation with operational expertise. Partnering with Unity Communications gives you access to ready-to-deploy AI agents, a trained support workforce, and the infrastructure to manage both patient interactions and compliance at scale.
Ready to reimagine your healthcare customer service with AI-driven support? Let’s connect!
