Automation and AI.

AI Enablement

Don’t Let AI Become a Compliance Liability

Mizzeto helps health plans govern AI models, mitigate risk, and meet regulatory expectations—before they become requirements.

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Healthcare Digital Operations

Mizzeto offers a comprehensive suite of services designed specifically for commercial insurance companies and government agencies.

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Automation and AI Solutions

Mizzeto’s Automation and AI solutions help insurance companies streamline complex processes and reduce manual tasks.

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Resource Augmentation

Mizzeto provides payers with strategic guidance and pragmatic solutions through our robust team of SMEs and technology experts.

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Software Development

Mizzeto's product suite is proprietary software the firm provides to payers.

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Automation and AI Solutions

Mizzeto’s Automation and AI solutions help insurance companies streamline complex processes and reduce manual tasks.

Why AI Governance Can’t Wait

As health plans deploy AI across claims, utilization management, and member services, they face growing risks—unaudited vendor models, missing HIPAA safeguards, unclear ownership of AI outputs, and no framework to meet CMS, OCR, or FTC expectations.

Without proper governance, even well-intended automation can trigger compliance failures and security gaps. That’s where we come in.

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No Visibility into AI Models

Health plans often can’t explain how AI decisions are made—especially with third-party tools.

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Unclear Ownership & Accountability

There’s no single owner for AI risk, leaving compliance gaps and audit vulnerabilities.

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Vendors Are a Black Box

External AI tools are often unvetted, undocumented, and operating without proper oversight.

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Regulatory Pressure Is Rising

CMS, OCR, and FTC are demanding transparency—but most plans aren't ready to respond.

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AI Governance Suite

Mizzeto's AI Governance Suite

From foundational policies to real-time oversight, we help you stand up governance that’s audit-ready, risk-aligned, and built to scale with your AI adoption.

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Risk Frameworks & Intake Governance

Risk Frameworks: Establish payer-specific AI policies, ethical use standards, and risk tiers based on data sensitivity, business impact, and regulatory exposure.

Use Case Intake: Centralize how AI use cases are captured, assessed, and tracked—ensuring visibility across both internal tools and vendor solutions.

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Security & Vendor Oversight

Security Controls: Conduct targeted AI risk assessments, including penetration testing and DLP planning, to safeguard PHI and prevent unauthorized use.

Vendor Oversight: Automate vendor AI evaluations, embed risk flags into procurement workflows, and enforce legal and compliance review before approval.

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Monitoring & Communication

Operational Oversight: Deploy dashboards, audit logs, and alerts to monitor how AI is used, detect anomalies, and maintain governance over time.

Awareness & Training: Provide teams with internal guidance, responsible use resources, and communication channels for AI-related questions and escalations.

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AI Governance Principles

For Mizzeto, robust AI governance is paramount to ensure ethical and secure deployment of solutions that enhance healthcare operations

Data Privacy and Security
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Implementing robust encryption, access controls, and anonymization techniques to protect patient data, ensuring compliance with regulations like HIPAA and GDPR while maintaining the highest standards of confidentiality.

Transparency and Explainability
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Payers must develop AI models with interpretable algorithms, clear documentation, and visualizations to help healthcare providers and patients understand how decisions are made, fostering trust and clarity.

Regulatory Oversight
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It's important to establish a comprehensive compliance framework that includes regular audits, adherence to healthcare standards, and collaboration with regulatory bodies to ensure AI systems meet all required regulations and guidelines.

Accountability and Liability
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Create clear protocols for monitoring AI performance, set up a system for reporting and addressing errors, and define the responsibilities and liabilities of all stakeholders involved to ensure AI technologies are used responsibly and effectively in healthcare.