Federal Health AI Governance

AI as Care Infrastructure — Governed, Not Just Adopted

We help federal health agencies implement AI with governance frameworks that put human capacity — not technology metrics — at the center of success.

Guiding Principles

Every engagement is shaped by these non-negotiable commitments.

Governance First Adoption

Proactive accountability structures before deploying AI systems. Technology follows governance, not the other way around.

Readiness Before Randomness

Organizations must demonstrate operational readiness before financial investments drive premature AI adoption.

Payment Aligned to Positive Reduction

Financial models should reward measurable disparate impact reductions, not utilization spikes.

Implementation Science Over Model Development

Focus on how AI integrates into real workflows, clinical workflows, performance in controlled settings.

Human Capacity as the Success Metric

Measure success by how AI enhances human decision-making and reduces cognitive overload, not replacement efficiency.

Equity and Transparency By Design

Embed equity assessments and transparent decision-making into AI systems from inception, not as afterthoughts.

Proven Frameworks

Validated tools for federal health AI governance.

SANCIAN™ Framework

Federal AI Governance & Adoption

A 7-Phase Framework for Equitable AI Implementation, built from 2,000+ federal deployment analyses. Grounded in NIST AI RMF, ISO/IEC 23053 & 23894, PMBOK, and Kotter's principles of change. Each phase ensures AI adoption aligns with governance, ethics, and measurable impact.

AI-READYCheck™

Organizational Readiness

Organizational readiness assessment for AI adoption. Evaluates governance maturity, workforce capacity, technical infrastructure, and institutional culture — ensuring operational readiness before financial investments drive premature deployment.

AI SoftL.I.F.E.™

Implementation Methodology

Leverage, Intentionality, Flow, Equity — the methodology for human-centered AI implementation. Designed to put mission alignment above efficiency metrics and integrate AI into real clinical and operational workflows, not just controlled environments.

AI-EQUITYClear™

Equity Impact Evaluation

Equity impact evaluation framework ensuring AI implementations don't replicate bias, exclude populations, or violate trust. Embeds equity assessments and transparent decision-making into AI systems from inception — governance as care infrastructure.

Building the Team

Scalable team structure for large federal AI governance and implementation engagements.

Click on any open role to view responsibilities and express interest

Executive Leadership

Program Director

Dr. Sancian Crawford, PhD, DCM, MPH
FILLED

Deputy Program Director

[Teaming Partner or Key Hire]
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Chief Medical Officer

[Clinical Leadership MD/DO]
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Chief Technology Officer

[Health IT Architecture]
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Functional Leads

AI Governance Lead

Policy & Standards Framework Owner
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Implementation Science Director

Change Management & Workflow Integration
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Evaluation Director

Outcomes Research & Health Economics
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Clinical Informatics Lead

EHR Integration & Clinical SME
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Team Composition by Function

Governance & Policy

4–6 FTEs
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Implementation & Change

5–8 FTEs
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Evaluation & Research

5–8 FTEs
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Clinical & Technical

5–8 FTEs
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Operations & Support

Contracts Manager

Federal Acquisition
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Finance/Budget Analyst

Financial Management
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Project Managers

2–4 FTEs
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Communications Specialist

Strategic Communications
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Administrative Support

Program Operations
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Estimated FTEs: 25–50+  |  Critical Hires: Implementation Science Director, Health Economist, Clinical Informatics Lead
Small Business Set-Aside Teaming Partners

8(a)

SBA 8(a) Business Development Program certified firms
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SDVOSB

Service-Disabled Veteran-Owned Small Business
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VOSB

Veteran-Owned Small Business
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WOSB

Women-Owned Small Business
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EDWOSB

Economically Disadvantaged Women-Owned Small Business
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HUBZone

Historically Underutilized Business Zone
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SDB

Small Disadvantaged Business
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Large Business

Large Business Prime or Subcontractor
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Other

Other Business Classifications
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