Coalition for Health AI

What Coalition for Health AI does

The Coalition for Health AI (CHAI) is a Boston-based nonprofit standards organization founded in 2022 that produces governance frameworks, model cards, and practical tools for responsible AI adoption in healthcare. Its core product portfolio comprises the eight-domain AI Governance Playbooks, the Responsible AI Guide (RAIG) and Responsible AI Checklists (RAIC), the Applied Model Card ('health AI nutrition label') standard, the public CHAI Registry (powered by Avanade's SAIGE engine), and use-case-specific Best Practice Guides covering clinical decision support, prior authorization, EHR information retrieval, and Medicaid eligibility. CHAI does not develop proprietary AI; rather, it convenes a consensus-based coalition of ~3,000 member organizations — including 200+ health systems (Mayo Clinic, Stanford Medicine, Duke Health, Kaiser Permanente, Cleveland Clinic, Johns Hopkins, Memorial Sloan Kettering, Mount Sinai, Emory Healthcare, Mercy, MedStar Health, Providence, UT System, UMass Memorial, Rush, Sharp HealthCare), federal observers (FDA, ONC, CMS, AHRQ, NIH, OSTP), patient advocates, payors, and AI vendors (Microsoft, Google, Aidoc, Abridge, Ambience, Innovaccer, Triomics) — to define and disseminate best practices.

CHAI generates revenue primarily through tiered annual membership dues ranging from complimentary (patient advocates) to $250,000/year (benefactor), with enterprise tiers at $100K (>$1B revenue), $50K (>$5B revenue), $25K (medium), $10K (other enterprise), and $5K (small). It supplements this with a certified Partner Program of 17 governance, testing & validation, data, and advisory vendors, and offers commercial licensing rights to its Creative Commons-licensed work products. Its distribution strategy combines direct membership engagement, free public framework downloads, a public Registry marketplace, Joint Commission certification pathway reach, and platform partners that embed CHAI controls as policy packs. Initial seed funding of $1.25M over five years came from founding health systems Duke, Mayo Clinic, Stanford, and Johns Hopkins; Microsoft and Amazon subsequently departed as founding members under Trump administration political pressure.

Name

Coalition for Health AI

Legal name

Coalition for Health AI, Inc

Website

https://chai.org

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

1–10 employees

Short description

The Coalition for Health AI (CHAI) is a nonprofit standards organization that convenes ~3,000 member organizations—including 200+ health systems, federal regulators, and AI vendors—to produce governance frameworks, model cards, and best practice guides for responsible AI adoption in healthcare.

Ownership category

akta.pro rank

Product category

Healthcare AI Governance

akta.pro primary industry

Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE)

akta.pro secondary industries

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Responsible AI Policy, Controls & Workflow Management (HDAAAMAG), AI Governance, Risk & Compliance (GRC) Platforms (HDAAAMAA)

Keywords

• Healthcare AI governance
• Responsible AI standards
• AI model cards
• AI risk management
• Health AI frameworks

Headquarters

HQ city

Boston

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Marketing or Sales, Others

Revenue model

1. Membership Dues: CHAI generates revenue through tiered annual membership dues ranging from complimentary for patient advocates to $250,000/year for benefactors. Tiers are differentiated by organization type (healthcare provider, enterprise technology vendor, startup, etc.) and size (revenue, bed count). Membership provides guaranteed participation in shaping frameworks, license rights to commercialize CHAI work products, networking, priority event access, and name recognition.

Pricing tiers

Go-to-market motion3 records

Distribution channels6 records

Marketing channels8 records

Core offering

CHAI is a nonprofit coalition that develops and disseminates consensus-based governance frameworks, practical playbooks, standardized model cards, checklists, and best practice guides for the responsible development, deployment, and oversight of AI in healthcare. Its core deliverables serve health systems, AI developers, payors, regulators, and patient advocates seeking standardized approaches to AI procurement, evaluation, monitoring, and compliance.

Product overview

The Coalition for Health AI (CHAI) is a nonprofit standards organization that produces governance frameworks, guidance documents, and practical tools for responsible AI adoption in healthcare. The core product portfolio includes the AI Governance Framework and Playbooks (covering AI policy, organizational structures, resources, and lifecycle management), the Responsible AI Guide (RAIG) and Responsible AI Checklists (RAIC) for evaluation, and the Applied Model Card system for standardizing AI solution documentation. CHAI also maintains a public Registry platform for browsing verified healthcare AI solutions. The organization publishes domain-specific Best Practice Guides and Testing & Evaluation frameworks for use cases including clinical decision support, prior authorization, EHR information retrieval, and Medicaid eligibility. Additional offerings include educational programs like the Nursing Essentials micro-credential series and a membership program for stakeholder participation. All frameworks and most tools are publicly available under Creative Commons CC BY-NC-ND 4.0 license, with commercial licensing available to members.

Differentiator

Problem solved

Functional benefit

Products and services

• AI Governance Framework and Playbooks Comprehensive governance framework with four core domains and eight subdomains providing step-by-step guidance for healthcare AI implementation and oversight. Designed for health systems, AI vendors, and regulators seeking standardized governance approaches.
• Applied Model Card Standardized documentation template providing transparency on AI model performance, safety, intended uses, targeted patient populations, model type, data types, key performance metrics, security accreditations, known risks, bias considerations, and ethical factors. Designed to support ONC HTI-1 compliance and EHR certification for healthcare AI solutions.
• Responsible AI Guide (RAIG) Comprehensive playbook providing actionable guidance on ethics and quality assurance for responsible AI in healthcare. Built on consensus from patient advocates, technology developers, clinicians, data scientists, civil servants, and bioethicists.
• Responsible AI Checklists (RAIC) Self-assessment and evaluation tool with Initial Planning Checkpoint and three additional checkpoints ensuring AI solutions meet five key principles for trustworthy AI: Usefulness/Usability/Efficacy, Fairness/Equity/Bias Management, Safety, Transparency/Intelligibility, and Privacy/Security.
• CHAI Registry Public registry platform for browsing and comparing verified healthcare AI solutions, developers, and model cards. Enables health systems to explore AI solutions by medical specialty and use case with open access for all stakeholders.
• Blueprint for Trustworthy AI Foundational 24-page guide outlining recommendations for trustworthy AI implementation in healthcare, addressing transparency, care impact, ethics, and equity of health AI tools. Developed with federal agency observation.
• Assurance Standards Guide Framework providing considerations to ensure standards are met in deployment of AI in healthcare, addressing consensus standards and practical guidance for AI that benefits all populations including underserved communities.
• Use Case Best Practice Guides and Testing & Evaluation Frameworks Domain-specific guidance documents and T&E frameworks for healthcare AI use cases including General Health Advice Chatbot, Prior Authorization, EHR Information Retrieval, and Clinical Decision Support. Developed by 100+ industry experts through workgroup engagement.
• Best Practice Guides for Responsible AI in Medicaid Eligibility Two best practice guides helping states, developers, and implementers responsibly deploy AI in Medicaid enrollment and eligibility adjudication under H.R.1 community engagement requirements. Includes prohibitions on fully automated denials and human-in-the-loop requirements.
• CHAI Membership Program Tiered membership program offering guaranteed participation in shaping best practice frameworks, licenses to commercialize derivatives of CHAI work products, networking opportunities, priority event access, and website visibility. Tiers range from Patient Advocate (complimentary) to Benefactor ($250,000/year).
• Nursing Essentials of Responsible AI Micro-Credential Series Seven-part self-paced educational program on responsible AI for nursing developed in partnership with FSU College of Nursing, covering AI fundamentals, data privacy, and practical applications across nursing workflows.

Quantifiable outcome

• AI governance playbooks developed through workshops with 150+ health AI leaders from 100+ healthcare organizations
• +5 more outcomes

Named customers24 records

Segments6 records

Ideal customer profiles5 records

Technology focussed No

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature7 records

Partnerships

15 partnerships are on record, tiered flagship, core and minor.

• Organisation for Economic Co-operation and Development (OECD)flagshipStrategic or Co-development Partner · 1 June 2026CHAI collaborates with OECD to define a shared policy framing for health AI across 38 member countries. CHAI CEO Brian Anderson keynote and Director of Operations Brenton Hill facilitated the OECD AI in Health Conference in Madrid (June 2026). CHAI leads the 'Enablement' track in developing the Madrid AI Action Plan, described as the 'USB-C standard' for health AI governance.
• National Association of Community Health Centers (NACHC)coreStrategic or Co-development Partner · 11 May 2026NACHC co-chaired the development of CHAI's Best Practice Guides for Responsible AI in Medicaid Eligibility with Centene, HealthTech 4 Medicaid, and Pair Team. Represents community health centers serving 52 million Americans, approximately 50% on Medicaid, with about one in five already using generative AI.
• CentenecoreStrategic or Co-development Partner · 11 May 2026Centene co-chaired CHAI's Medicaid eligibility AI Best Practice Guide development, bringing payer perspective on community engagement requirements, procedural disenrollment prevention, and AI governance for eligibility operations.
• HealthTech 4 Medicaid (HT4M)coreStrategic or Co-development Partner · 11 May 2026HT4M, a national nonprofit advancing innovation in Medicaid through cross-sector collaboration, co-chaired the Medicaid eligibility AI guide development. Founder Adimika Meadows Arthur emphasized responsible AI as a moral and public trust issue.
• Pair TeamcoreStrategic or Co-development Partner · 11 May 2026Pair Team, a public benefit company reimagining Medicaid and Medicare through AI-enabled whole-person care management, co-chaired the Medicaid eligibility AI guide development, contributing expertise in human-centered design and safety-net settings.
• Florida State University College of NursingcoreStrategic or Co-development Partner · 5 May 2026FSU College of Nursing partnered with CHAI to launch the nation's first micro-credential series on responsible AI for nursing, titled 'Nursing Essentials of Responsible AI.' The seven-part self-paced program covers AI fundamentals, data privacy, and practical nursing workflow applications, establishing a new academic standard for AI competency in nursing.
• Credo AIcoreTechnology or Integration · 28 April 2026Credo AI joined the CHAI Partner Program to align its healthcare AI governance platform with CHAI's framework. The platform helps healthcare organizations manage overlapping regulatory obligations (HIPAA, ONC HT-1, ISO 42001, Joint Commission guidance) across AI models, vendors, and use cases. CHAI's framework is operationalized as a dedicated healthcare policy pack within Credo AI's governance platform.
• EisnerAmperminorImplementation/ SI/ Consulting Partner · 28 April 2026EisnerAmper is listed as a CHAI Advisory & Services partner, an advisory firm that helps organizations design, build, and scale AI implementations using a proven methodology covering strategy, governance, technical execution, and workforce readiness.
• AvanadecoreTechnology or Integration · 28 February 2026Avanade (Microsoft expert firm) partnered with CHAI to build the first public registry for Health AI governance, powered by Avanade's Smart AI Governance Engine (SAIGE). The registry enables health system AI solution evaluation teams to access CHAI Model Cards and provides solution providers with access to a community of potential customers.
• TrustiblecoreTechnology or Integration · 26 February 2026Trustible partnered with CHAI to integrate CHAI's AI Governance Framework into its platform, providing structured workflows, healthcare-specific risk assessments, and audit-ready documentation for regulated markets. The partnership addresses the fragmented compliance landscape driven by emerging state-level AI regulations.
• ModelOpcoreTechnology or Integration · 11 November 2025ModelOp was certified as a CHAI Assurance Resource Provider, strengthening its role in promoting trustworthy AI in healthcare. The certification signifies a partnership aimed at enhancing AI governance, transparency, and compliance within the healthcare ecosystem through alignment with CHAI's framework.
• Pacific AIcoreTechnology or Integration · 16 October 2025Pacific AI became a certified CHAI Assurance Resource Provider, affirming its role in advancing healthcare AI governance. The certification supports development and deployment of trustworthy AI models across more than 30 countries, with new capabilities including risk management, model testing, and continuous oversight aligned to CHAI controls.
• The SCAN FoundationcoreStrategic or Co-development Partner · 2 September 2025The SCAN Foundation funded a six-month planning grant (January–July 2025) with CHAI to lay the foundation for equitable, effective AI solutions for older adults. The partnership involved 30 stakeholder interviews, a three-part roundtable series, and produced a roadmap for AI that supports healthier aging, particularly for underserved communities.
• The Joint CommissionflagshipStrategic or Co-development Partner · 11 June 2025Joint Commission and CHAI jointly released the 'Responsible Use of AI in Healthcare' (RUAIH) guidance document and partnered to develop a voluntary AI certification program for U.S. health systems. CHAI governance playbooks serve as the framework for achieving this certification. This is CHAI's highest-profile partnership, positioning its frameworks for adoption across all Joint Commission-accredited organizations.
• ANSI National Accreditation Board (ANAB)coreStrategic or Co-development Partner · 18 October 2024CHAI collaborated with ANAB to create the draft CHAI certification program framework for independent Assurance Labs using ISO 17025 as the predominant standard for testing and calibration laboratories, integrating requirements for conflict-of-interest disclosure and data/IP protection.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Credo AI: Enterprise AI governance platform that operationalizes AI policy, risk, and compliance across organizations. Also a CHAI Partner Program member that delivers CHAI's framework as a dedicated healthcare policy pack, making it both collaborator and direct competitor in operational AI GRC.
• Holistic AI: AI governance, risk, and compliance platform serving regulated industries including healthcare, with audit-ready documentation and policy management. Directly comparable to CHAI's operational AI GRC scope and a potential partner/competitor for healthcare-specific deployments.
• Trustible: AI governance platform providing structured workflows and healthcare-specific risk assessments aligned with CHAI's AI Governance Framework. A CHAI Partner Program member offering audit-ready documentation for regulated markets, overlapping directly with CHAI's AI GRC offering.
• ModelOp: Enterprise AI governance and lifecycle management platform that is certified as a CHAI Assurance Resource Provider. Directly comparable as it operationalizes AI governance controls across model inventory, risk, and compliance for regulated enterprises including healthcare.
• Health AI Partnership (HAIP): UK and European-focused multi-stakeholder coalition developing standards and best practices for responsible health AI. The most direct functional analog to CHAI internationally, with overlapping membership (NHS, regulators, vendors) and a similar consensus-driven framework approach.

Broad incumbents

• HIMSS (Healthcare Information and Management Systems Society): Large established healthcare IT membership and standards organization that hosts the annual HIMSS conference and develops broader digital health frameworks. Overlaps with CHAI in healthcare AI policy advocacy and member education but addresses a much wider healthcare IT scope.
• The Joint Commission: U.S. healthcare accreditation body partnered with CHAI to develop a voluntary AI certification program. Operates a much broader healthcare quality and safety portfolio; comparable as a healthcare standards-and-certification incumbent that is now distributing CHAI frameworks.
• American Hospital Association (AHA): U.S. national membership organization representing hospitals and health systems on policy, advocacy, and operational guidance. Overlaps with CHAI on healthcare AI policy advocacy and represents many of the same provider institutions, but addresses a much broader hospital operations agenda.

Others

• OECD AI Policy Observatory: International policy body developing cross-border AI governance principles, including the Madrid AI Action Plan co-led with CHAI. Comparable as a governance standard-setter but as an intergovernmental body rather than a coalition, making it a strategic partner/ecosystem participant rather than a competitor.
• WHO (World Health Organization) AI Ethics & Governance: UN agency that issued guidance on Ethics & Governance of AI for Health, providing international normative standards comparable in scope to CHAI's framework. Functions as an adjacent international reference body whose standards may complement or compete with CHAI's guidance.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/coalition-for-health-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Coalition for Health AI