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4.7 (200+ reviews)

AI built for member and
patient experience

Deploy AI agents across the full member and patient journey — automating prior authorization, eligibility, scheduling, and billing inquiries, scoring every agent conversation for HIPAA, CAHPS, and clinical accuracy, and surfacing intelligence from 100% of interactions. All on one platform, with one data layer.

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“Level AI’s solutions not only saved time and resources by optimizing our customer support operations but also improved overall customer experience, which is invaluable in the health and wellness industry.”

Executive director of operations

Sharecare

“Level AI’s solutions not only saved time and resources by optimizing our customer support operations but also improved overall customer experience, which is invaluable in the health and wellness industry.”

Executive director of operations

Sharecare

“Level AI’s solutions not only saved time and resources by optimizing our customer support operations but also improved overall customer experience, which is invaluable in the health and wellness industry.”

Executive director of operations

Sharecare

One conversation data layer for healthcare payers and providers

AEP performance

Deflect plan-question volume and score every enrollment conversation against CMS Medicare Communications Requirements and TPMO disclosure rules during the Oct 15–Dec 7 window.

HCAHPS reimbursement protection

100% scoring on communication, responsiveness, and discharge information dimensions tied to Hospital Value-Based Purchasing payments.


Clean audit trails

Every prior authorization conversation captured with denial reasoning, structured for the public-posting requirement and 7-day standard response window.

Denial dispute workflow

Every payer denial captured with reasoning documented, structured for appeal under the CMS 2026 Prior Authorization Rule.


Star Ratings protection

Disenrollment signals surface from interaction data weeks before the survey window opens.


Patient access coverage

Scheduling, eligibility verification, good faith estimates, financial counseling, and clinical triage each scored against their own rubric.

Talk to a Healthcare specialist

How Healthcare CX teams use Level AI

Automation

Quality

Insights

Coach

Agent Assist

Resolve authorization, scheduling, and billing requests, 
without adding headcount

Deploy virtual agents pre-trained on how top healthcare contact centers handle eligibility verification, prior authorization status, appointment scheduling, prescription refills, and good faith estimates — on voice and chat, around the clock.

Pre-built for HIPAA-safe handoffs and clinical-question routing.

Score every agent conversation for
HIPAA, clinical accuracy and CAHPS quality

Evaluate 100% of interactions with QA-GPT against the rubrics that drive reimbursement and audit exposure: HIPAA disclosure, clinical accuracy and empathy, the CAHPS and HCAHPS communication dimensions, and denial explanations.

Screen Recording captures desktop activity alongside the call, so auditors get a complete record for every evaluation.

Surface disenrollment language, denial disputes, and billing complaints
from every interaction

AI Workers query 100% of interaction data and surface disenrollment language, denial dispute patterns, and surprise billing complaints before they compound into Star Ratings drops or value-based payment cuts. VoC findings update QA rubrics automatically and route to quality, member experience, and patient access teams.

Coach every agent with
personalized AI-generated coaching plans

Leverage 100% of conversations and screen activities to identify areas for improvement and provide agents with personalized coaching. Coaching plans arrive grounded in real AEP plan-selection calls, prior authorization workflows, billing-estimate discussions, lab-result follow-ups, and discharge follow-up interactions.

Guide agents in real time on
prior auth, denials and clinical triage

Real-time Agent Assist surfaces the compliance language and next step the agent needs during the call: HIPAA-safe disclosures, denial-appeal paths under the CMS 2026 Prior Authorization Rule, and safe routing for clinical questions.

Post-call summaries write back to the EHR, CRM, or revenue cycle platform, eliminating after-call work.

Integrated across your Healthcare CX stack

Direct integrations with your EMR, EHR, or service management, systems as well as messaging and telephony systems. All without the need of any custom infrastructure.

Ready to transform your CX?

Talk to a Healthcare specialist

ISO 27001

HIPAA

SOC2

PCI

GDPR

Level AI satisfies the requirements for GPDR, HIPAA, PCI and ISO 27001 compliance

ISO 27001

HIPAA

SOC2

PCI

GDPR

Level AI satisfies the requirements for GPDR, HIPAA, PCI and ISO 27001 compliance

ISO 27001

HIPAA

SOC2

PCI

GDPR

Level AI satisfies the requirements for GPDR, HIPAA, PCI and ISO 27001 compliance

Resources

Tools and insights to improve every customer interaction

View all resources

Ebook

Unifying CX after M&A

Ebook

5 use cases: where AI earns its place in healthcare contact center operations

Ebook

Human + AI: building the next-gen contact center

Ebook

Unifying CX after M&A

Ebook

5 use cases: where AI earns its place in healthcare contact center operations

FAQ

Have questions?
Find answers

Any more questions?

Contact us

How to measure patient satisfaction?

Patient satisfaction is traditionally measured via patient satisfaction surveys. Patient satisfaction surveys are questionnaires or interviews used to gather feedback from patients about their experience with healthcare services. They are a common tool for healthcare providers to understand patient experience, identify areas for improvement, and benchmark against other facilities and clinics.

While beneficial, patient satisfaction surveys have major limitations, including low participation rates and the limited scope of these surveys.

Conversation Intelligence platforms such as Level AI solve these limitations. Using Generative AI, Level AI extracts Voice of the Customer Insights from 100% of conversations, proactively identifying and organizing drivers of patient experience by the severity and sentiment score as well as the frequency of occurrence in conversations. Level AI is HIPPA compliant.

What specific AI capabilities does Level AI offer as a healthcare contact center software?

Level AI can provide capabilities such as natural language understanding and generative AI in Healthcare to understand patient inquiries, sentiment analysis to gauge patient emotions.

How does call center software for healthcare contribute to better patient satisfaction and retention?

Level AI leverages conversational AI in healthcare that helps agents in delivering more accurate and responsive patient care, in real-time, leading to improved patient satisfaction. By providing personalized recommendations and efficient support, it can also contribute to higher patient retention rates.

How does patient engagement software help in improving patient interactions and patient satisfaction in healthcare?

Level AI can assist agents by providing relevant information, suggesting appropriate responses, and identifying potential cross-selling or upselling opportunities. This leads to more effective and personalized patient interactions.

Is Level AI compatible with existing healthcare contact center systems and software?

Level AI solutions are designed to be compatible with a wide range of healthcare contact center systems and software, including CRM platforms and electronic health record (EHR) systems.

FAQ

Have questions?
Find answers

Any more questions?

Contact us

How to measure patient satisfaction?

Patient satisfaction is traditionally measured via patient satisfaction surveys. Patient satisfaction surveys are questionnaires or interviews used to gather feedback from patients about their experience with healthcare services. They are a common tool for healthcare providers to understand patient experience, identify areas for improvement, and benchmark against other facilities and clinics.

While beneficial, patient satisfaction surveys have major limitations, including low participation rates and the limited scope of these surveys.

Conversation Intelligence platforms such as Level AI solve these limitations. Using Generative AI, Level AI extracts Voice of the Customer Insights from 100% of conversations, proactively identifying and organizing drivers of patient experience by the severity and sentiment score as well as the frequency of occurrence in conversations. Level AI is HIPPA compliant.

What specific AI capabilities does Level AI offer as a healthcare contact center software?

Level AI can provide capabilities such as natural language understanding and generative AI in Healthcare to understand patient inquiries, sentiment analysis to gauge patient emotions.

How does call center software for healthcare contribute to better patient satisfaction and retention?

Level AI leverages conversational AI in healthcare that helps agents in delivering more accurate and responsive patient care, in real-time, leading to improved patient satisfaction. By providing personalized recommendations and efficient support, it can also contribute to higher patient retention rates.

How does patient engagement software help in improving patient interactions and patient satisfaction in healthcare?

Level AI can assist agents by providing relevant information, suggesting appropriate responses, and identifying potential cross-selling or upselling opportunities. This leads to more effective and personalized patient interactions.

Is Level AI compatible with existing healthcare contact center systems and software?

Level AI solutions are designed to be compatible with a wide range of healthcare contact center systems and software, including CRM platforms and electronic health record (EHR) systems.

FAQ

Have questions?
Find answers

How to measure patient satisfaction?

Patient satisfaction is traditionally measured via patient satisfaction surveys. Patient satisfaction surveys are questionnaires or interviews used to gather feedback from patients about their experience with healthcare services. They are a common tool for healthcare providers to understand patient experience, identify areas for improvement, and benchmark against other facilities and clinics.

While beneficial, patient satisfaction surveys have major limitations, including low participation rates and the limited scope of these surveys.

Conversation Intelligence platforms such as Level AI solve these limitations. Using Generative AI, Level AI extracts Voice of the Customer Insights from 100% of conversations, proactively identifying and organizing drivers of patient experience by the severity and sentiment score as well as the frequency of occurrence in conversations. Level AI is HIPPA compliant.

What specific AI capabilities does Level AI offer as a healthcare contact center software?

Level AI can provide capabilities such as natural language understanding and generative AI in Healthcare to understand patient inquiries, sentiment analysis to gauge patient emotions.

How does call center software for healthcare contribute to better patient satisfaction and retention?

Level AI leverages conversational AI in healthcare that helps agents in delivering more accurate and responsive patient care, in real-time, leading to improved patient satisfaction. By providing personalized recommendations and efficient support, it can also contribute to higher patient retention rates.

How does patient engagement software help in improving patient interactions and patient satisfaction in healthcare?

Level AI can assist agents by providing relevant information, suggesting appropriate responses, and identifying potential cross-selling or upselling opportunities. This leads to more effective and personalized patient interactions.

Is Level AI compatible with existing healthcare contact center systems and software?

Level AI solutions are designed to be compatible with a wide range of healthcare contact center systems and software, including CRM platforms and electronic health record (EHR) systems.