THE VALIDATION AUTHORITY

Healthcare AI Agents Need Human-Level Validation Standards

Just as physicians and nurses require credentialing, licensing, and certification to practice—AI agents making clinical decisions need the same rigorous validation framework.

Start Validation Process See How It Works
8-12
Week Validation
8
Core Domains
47
Evaluation Criteria
3
Credentials Issued

If AI Agents Practice Medicine Like Humans...

They Need the Same Validation Standards

Human Healthcare Professional
AI Healthcare Agent
1

Education & Training

Verified education, clinical training quality, and baseline competency

Ex: Medical or nursing degree, residency/clinical training
=
1

VerityHealth Credentialing

Verified training data, model architecture, and baseline performance

Ex: Validated training datasets, verified safety mechanisms
2

Professional License

Authorization to practice in specific geography and specialty

Ex: State RN license or medical license #A12345
=
2

VerityHealth Licensing

Authorization for specific clinical domain and use cases

Ex: Licensed for triage assessment or diagnostic support
3

Board/Specialty Certification

Specialty validation by professional board or organization

Ex: Critical Care Nurse or Board Certified Physician
=
3

VerityHealth Certification

Specialty-specific competency validation against standards

Ex: Certified for critical care or primary care protocols

VerityHealth provides the same rigorous validation framework for AI agents that exists for human healthcare providers

THE URGENT NEED

AI Agents Are Already Practicing Medicine

Without validation infrastructure, healthcare is deploying AI agents with no standardized verification

2027
Thousands of AI agents making clinical decisions
78%
Of health systems deploying clinical AI
0
Comprehensive credentialing standards today

Each AI agent is unique—trained on different data, with different capabilities, different limitations. Just like human providers, each agent needs individual validation. VerityHealth provides the infrastructure healthcare needs to deploy AI agents safely and confidently.

ONE COMPREHENSIVE ASSESSMENT

Complete AI Agent Validation

A single, end-to-end validation engagement that produces all three credentials your AI agent needs. No separate purchases. No fragmented assessments. One process, complete validation.

What You Get

Our integrated validation process evaluates your AI agent across 8 core domains and 47 detailed criteria, producing three official credentials that demonstrate your agent meets healthcare's highest standards.

Deliverables include: Comprehensive validation report, official credential documentation, public registry listing, and ongoing monitoring framework for continuous compliance.

8-12
Week Timeline
$75K-150K
Investment Range

Three Credentials, One Assessment

1

Credentialing

Comprehensive verification of your AI agent's foundation—training data quality, model architecture, and baseline performance.

  • Training data verification
  • Model architecture review
  • Security & privacy assessment
  • Bias testing across populations
2

Licensing

Formal authorization defining your AI agent's approved clinical domains and scope of practice.

  • Domain-specific authorization
  • Use case approval
  • Integration standards
  • Scope boundaries
3

Certification

Specialty-specific validation proving your AI agent meets clinical competency standards for its domain.

  • Clinical validation testing
  • Specialty competency criteria
  • Regulatory compliance
  • Quality monitoring setup

Why One Integrated Assessment?

Buying three separate services creates confusion, delays deployment, and increases costs. Our integrated approach means one engagement, one timeline, one contract—and complete validation that gives buyers confidence in your AI agent from day one.

WHO WE SERVE

Validation for Every Stakeholder

Whether you're building AI agents or deploying them, VerityHealth provides the validation framework you need

AI/ML Companies

Get your AI agent validated before market launch. Differentiate with credible third-party validation that healthcare systems trust.

Your Benefits:

  • Faster sales cycles with validated agents
  • Competitive differentiation
  • Reduced liability exposure
  • Sales enablement credentials
  • Market credibility
Validate Your Agent →

Health Systems

Deploy AI agents with confidence. Standardized evaluation framework that reduces risk and streamlines vendor assessment.

Your Benefits:

  • Standardized vendor evaluation
  • Risk mitigation framework
  • C-suite confidence
  • Compliance assurance
  • Ongoing monitoring
Evaluate AI Vendors →

Payers & Regulators

Verify AI capabilities before coverage or authorization. Establish standards for medical necessity and cost-effectiveness.

Your Benefits:

  • Medical necessity verification
  • Cost-effectiveness validation
  • Fraud prevention
  • Coverage standards
  • Quality benchmarking
Establish Standards →
OUR FOUNDATION

Building Credibility Through Expert Collaboration

We're assembling the leading voices in healthcare AI to validate our framework and guide our standards

Emergency Medicine

Practicing physician with AI deployment experience

Clinical Informatics

Academic medical center AI expert

Healthcare Law

Regulatory & liability specialist

AI/ML Research

Technical architecture & ethics expert

Advisory Board Formation in Progress

We're partnering with leading healthcare institutions, AI researchers, and clinical experts to build the most credible validation authority in healthcare AI. Interested in joining our advisory board? Get in touch →

THE FRAMEWORK

8 Core Domains of Evaluation

Our comprehensive framework evaluates AI agents across 8 core domains encompassing 47 detailed criteria. This framework was developed through extensive research of existing healthcare credentialing standards, FDA guidance, and emerging AI governance best practices.

Request Detailed Framework Documentation →
1

Clinical Validation

Performance against gold-standard datasets and validation studies

2

Training Data Quality

Source documentation, quality validation, and bias detection

3

Model Architecture

Architecture documentation, safety mechanisms, and explainability

4

Clinical Integration

EHR integration, workflow assessment, and interoperability

5

Ethical & Bias

Fairness across demographics and health equity impact

6

Regulatory Compliance

FDA status, HIPAA compliance, and regulatory alignment

7

Performance Monitoring

Real-time monitoring, drift detection, and adverse event reporting

8

Organizational Readiness

Vendor stability, documentation quality, and support infrastructure

LEADERSHIP

Building the Trust Infrastructure for Healthcare AI

Led by a healthcare technology veteran with the legal, business, and technical expertise to define AI governance

Brandon Taylor, JD, MBA

Brandon Taylor

JD, MBA

Founder & CEO

Connect on LinkedIn

About Brandon

Brandon Taylor brings a unique combination of legal expertise, business leadership, and technical depth to healthcare AI governance. With a JD in Health Law from Indiana University, MBA from Penn State, and Healthcare AI certification from MIT, he has the interdisciplinary foundation required to build credible validation standards.

Before founding VerityHealth.ai, Brandon led AI and value-based care product portfolios for high-growth healthcare technology companies, deploying autonomous and assistive AI agents across major health systems. Earlier in his career, he held senior product and strategy roles at Humana, Optum, McKesson, and CoverMyMeds—always in environments where compliance, transparency, and patient trust are non-negotiable.

VerityHealth.ai represents the culmination of Brandon's career: combining legal rigor to define standards, business acumen to make them scalable, and technical depth to ensure they're comprehensive. This isn't just another healthcare startupthis is infrastructure-building for an industry that desperately needs it.

Why Now

Throughout his career at the frontier of healthcare AI, Brandon witnessed both its transformative potential and its unaddressed risks. He saw unvalidated models deployed in critical settings, performance drift going undetected, and health systems forced to reinvent validation frameworks from scratch. VerityHealth.ai exists to solve this fundamental infrastructure gap before it creates patient harm or regulatory backlash.

FREQUENTLY ASKED

Common Questions

What exactly do I get from the validation process?

You receive three official credentials (Credentialing, Licensing, and Certification), a comprehensive validation report detailing our assessment across all 47 criteria, listing in our public registry, and an ongoing monitoring framework. This complete package gives both you and your customers confidence in your AI agent's capabilities.

How is VerityHealth different from FDA approval?

FDA approval focuses on safety and efficacy for market clearance—the equivalent of graduating medical school. VerityHealth provides ongoing operational validation—the equivalent of maintaining medical licenses, hospital privileges, and board certification. We complement FDA oversight with comprehensive lifecycle management that health systems require.

Why do AI agents need validation if they're already FDA cleared?

Each AI agent is unique—trained on different data, with different capabilities and limitations. FDA clearance proves safety for market entry, but health systems need detailed verification of what each specific agent can and cannot do, how it performs across different populations, and how to monitor it over time. That's what VerityHealth provides.

What if my AI agent gets updated or retrained?

Significant updates require reassessment, just as major changes to a physician's practice would require reverification. The scope of reassessment depends on the extent of changes. We work with you to determine the appropriate level of review and provide expedited paths for minor updates.

How long does the validation process take?

Complete validation typically takes 8-12 weeks from initial documentation submission to final credential issuance. Timeline depends on documentation completeness and system complexity. We offer expedited review options for urgent deployments.

Are you currently validating AI agents?

We're in our foundation-building phase, assembling our expert advisory board and finalizing our validation framework. We're seeking design partners—both AI companies and health systems—to participate in initial validation pilots at significantly reduced rates. This is your opportunity to help shape the standards while getting validated early. Interested? Contact us →

Ready to Validate Your AI Agent?

Join us in establishing the validation standards that will define healthcare AI for decades

Schedule Consultation Request Framework Details

We're actively seeking design partners for initial validation pilots • AI companies, health systems, and regulatory advisors welcome