AI Governance & Readiness Advisory

AI risk exposure already exists.
Governance must come first.

Praxis Health AI Readiness & Governance Advisors is a vendor-neutral advisory firm preparing rural healthcare organizations to identify, understand, and mitigate AI-related risk through structured governance—before implementation begins.

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Risk Already Present

Unregulated AI tools, vendor-embedded features, and emerging regulatory expectations are creating exposure—whether your organization has formally adopted AI or not.

Governance Before Adoption

Governance structures, data readiness, and workforce alignment must be established before AI is deployed—not after.

Rural-Specific Expertise

Rural healthcare organizations face unique constraints. Praxis is built to address the governance, workforce, and budget realities specific to rural systems.

Our Advisory Scope

Clarity of purpose.
Independence by design.

→ What Praxis Provides

  • Pre-implementation AI risk identification and governance advisory
  • Structured readiness assessment aligned to NIST AI RMF
  • Governance frameworks, policy development, and oversight structures
  • Workforce risk assessment and AI literacy enablement
  • Vendor-neutral, evidence-based guidance independent of any technology platform
  • Implementation oversight and advisory when appropriate

✕ What Praxis Does Not Do

  • Design, build, or deploy AI systems
  • Provide implementation or system integration services
  • Sell, recommend, or partner with AI technology vendors
  • Operate as a generalized management consultancy
  • Substitute for internal IT or clinical informatics teams
Services

Governance-first advisory
across five critical domains.

Each engagement is designed to identify and mitigate AI-related risk prior to implementation—with minimal operational disruption.

01

AI Risk Exposure Scan

Rapid identification of existing AI-related risks, enterprise data inventory, and AIR scoring with immediate mitigation actions.
02

AI Governance Rapid Build

Establish governance charters, RACI matrices, policy frameworks, and audit-ready documentation structures.
03

Responsible AI Governance

Bias, fairness, and explainability frameworks with human-in-the-loop controls and model risk classification.
04

Workforce Risk & Enablement

Role-based AI literacy, prompt engineering governance, leadership training, and change management.
05

Intelligent Automation Risk Readiness

Workflow decomposition, automation suitability scoring, and governance guardrails for RPA and low-code platforms.
→

Request an Executive AI Risk Briefing

Begin with a confidential conversation about your organization's current risk posture.
Why Praxis

Built differently. By design.

Vendor-Neutral

Praxis does not sell, recommend, or partner with any AI technology vendor. Governance recommendations are independent and aligned solely to client risk.

Pre-Implementation Focus

All services operate upstream of AI deployment—identifying and mitigating risk before it results in operational, regulatory, or financial harm.

Rural-Aligned

Purpose-built for rural healthcare organizations with advisory services calibrated to the governance, workforce, and budget realities of rural systems.

NIST AI RMF Aligned

All engagements are structured around the NIST AI Risk Management Framework, providing regulatory-grade rigor and evidence-based documentation.

About Praxis

Governance-first. Vendor-neutral.
Rural-aligned.

"AI adoption in rural healthcare will not fail due to lack of technology—it will fail due to unrecognized risk exposure, weak governance structures, poor data readiness, workforce mistrust, and misaligned incentives."

Praxis Health AI Readiness & Governance Advisors is a for-profit consulting firm focused on preparing rural healthcare organizations—particularly in Texas—to safely, effectively, and competitively adopt artificial intelligence through structured readiness, governance, and workforce enablement.

The firm is vendor-neutral and non-implementation focused, providing upstream advisory services that reduce risk, improve resilience, and position clients for future AI adoption. Praxis may provide implementation oversight and advisory, but does not design, build, or deploy AI systems.

Praxis positions itself as the pre-implementation control layer—identifying and mitigating AI-related risk exposure before it results in operational, regulatory, or financial harm.

Vision

A rural healthcare system capable of safely leveraging AI while maintaining operational resilience and regulatory integrity.

Mission

To enable rural healthcare organizations to identify, understand, and mitigate AI-related risk by strengthening governance, data readiness, workforce capability, and organizational resilience prior to implementation.

Independence

Unlike vendors, Praxis does not introduce or sell AI tools, ensuring that governance recommendations are independent and aligned solely to client risk.

Leadership

Founded on domain expertise.

Dr. Christopher S. Hanson

Dr. Christopher S. Hanson, DHA, PA-C

Dr. Christopher S. Hanson is the Founder of Praxis Health Readiness and a senior healthcare executive with more than 30 years of experience spanning clinical leadership, healthcare quality improvement, enterprise strategy, and AI governance.

As a Doctor of Healthcare Administration and practicing Physician Assistant (PA-C), he combines executive strategy with frontline clinical credibility. His work has focused on helping healthcare organizations reduce operational and regulatory risk while improving quality, resilience, and readiness for AI adoption.

He has led enterprise-wide innovation and governance initiatives aligned to NIST AI RMF, HIPAA, CMS compliance, FedRAMP Moderate, and NIST 800-53 standards, delivering more than $2 million in cost savings and significant workforce productivity gains through responsible AI, analytics, and workflow redesign.

Through CMS quality improvement programs and work with rural and underserved healthcare organizations, Dr. Hanson developed the governance-first philosophy behind Praxis: AI should only be adopted when readiness, risk management, and long-term operational resilience are clearly understood.

Governance Board

Advisory governance oversight.

The Praxis Governance Board provides independent oversight, strategic guidance, and domain expertise across healthcare, AI governance, cybersecurity, and regulatory compliance.

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Service Portfolio

Pre-implementation advisory
across five governance domains.

Every service is designed to reduce AI-related risk exposure before implementation begins. Praxis does not deploy or implement AI systems.

Entry Engagement

AI Risk Exposure Scan

What It Is

A fixed-fee, time-boxed assessment designed to rapidly identify existing AI-related risks across your organization. The scan includes enterprise data inventory and lineage mapping, AI Readiness (AIR) scoring, and identification of immediate mitigation actions. Designed to be completed in 2–4 weeks with minimal operational disruption.

Why It Matters

AI risk exposure exists whether your organization has formally adopted AI or not. Unregulated use of generative AI tools by staff, vendor-driven AI features embedded in existing platforms, and increasing cybersecurity exposure are creating risk that most organizations have not yet quantified. This scan provides immediate, board-ready risk visibility.

What You Gain

  • Rapid identification of existing AI-related risks
  • Enterprise data inventory and lineage mapping
  • AI Readiness (AIR) scoring
  • Identification of immediate mitigation actions
  • Board-ready risk visibility
Core Engagement

AI Governance Rapid Build

What It Is

A fixed-scope program that establishes the governance, policy, and oversight structures required to manage AI-related risk. Includes AI governance charters, RACI matrices aligned to AI actor roles, policy frameworks for LLM use, automation, and decision support, and audit and evidence requirements.

Why It Matters

Without governance structures in place, AI adoption creates unmanaged exposure across operations, compliance, and workforce behavior. Governance must be established as a measurable organizational capability—not an afterthought to deployment.

What You Gain

  • AI governance charters and accountability structures
  • RACI matrices aligned to AI actor roles
  • Policy frameworks for LLM, automation, and decision support
  • Audit and evidence requirements documentation
  • Workforce training rollout
Governance Domain

Responsible AI Governance

What It Is

Frameworks and controls that address bias, fairness, and explainability in AI-related decisions. Includes human-in-the-loop control design and model risk classification aligned to healthcare context.

Why It Matters

Healthcare AI decisions carry direct implications for patient safety, equity, and regulatory compliance. Without responsible AI governance, organizations expose themselves to bias risk, opaque decision-making, and potential regulatory action.

What You Gain

  • Bias, fairness, and explainability frameworks
  • Human-in-the-loop controls
  • Model risk classification aligned to healthcare context
Workforce Domain

Workforce Risk & Enablement

What It Is

A comprehensive program addressing workforce-level AI risk through role-based AI literacy, prompt engineering governance, leadership training in AI oversight, and ADKAR-aligned change management.

Why It Matters

Workforce mistrust and unmanaged use of AI tools represent significant vectors of organizational risk. Without structured enablement, staff behavior can introduce compliance, quality, and security exposure that governance alone cannot address.

What You Gain

  • AI literacy training tailored by role
  • Prompt engineering governance (not just skills)
  • Leadership training in AI oversight
  • ADKAR-aligned change management
  • Auditable testing with continuing education credit
Automation Domain

Intelligent Automation Risk Readiness

What It Is

Assessment and governance preparation for organizations considering or already exposed to automation technologies. Includes workflow decomposition, automation suitability scoring, governance guardrails for RPA and low-code platforms, and oversight recommendations for third-party implementation.

Why It Matters

Automation introduces operational dependencies and risk pathways that require governance oversight before deployment. Without readiness assessment, organizations risk implementing automation without appropriate controls or fallback structures.

What You Gain

  • Workflow decomposition and suitability analysis
  • Automation suitability scoring
  • Governance guardrails for RPA/low-code
  • Oversight recommendations for third-party implementation

All Praxis engagements are pre-implementation and governance-focused. Praxis does not design, build, or deploy AI systems. Advisory independence is maintained through vendor-neutral positioning across all service domains.

Methodology

Structured. Evidence-based.
Aligned to NIST AI RMF.

All Praxis engagements are structured around the NIST AI Risk Management Framework, providing a repeatable, measurable approach to AI governance and risk reduction.

01

Govern

Establish governance structures, roles, and accountability mechanisms. Define organizational authority and oversight for AI-related decisions.

02

Map

Identify risk exposure and system context. Inventory existing AI touchpoints, data flows, and decision pathways across the organization.

03

Measure

Apply the AFII/AGRI dual measurement system to quantify both functional impact potential and governance resilience across identified risk domains.

04

Manage

Implement ongoing risk mitigation and lifecycle controls. Establish continuous monitoring, policy updates, and executive reporting cadences.

AI Functional Impact Index

AFII

Measures operational efficiency, quality improvement potential, and workforce augmentation impact. AFII captures the opportunity dimension—quantifying what AI could deliver when properly governed.

AI Governance & Resilience Index

AGRI

Measures risk exposure, governance maturity, and organizational resilience to AI failure modes. AGRI captures the risk dimension—quantifying the organization's ability to withstand AI-related disruption.

AI Readiness Score

AIR Score — Composite

A unified readiness measure combining data maturity, governance capability, workforce readiness, cyber posture, and AFII/AGRI outputs. Together, AFII and AGRI provide a balanced scorecard of ROI versus resilience.

Insights

Thought leadership grounded
in governance practice.

Targeted, insight-driven content tied to AI risk exposure and governance gaps in rural healthcare. Publications support executive conversations and strategic decision-making.

Whitepapers

Coming Soon

[Whitepaper Title — AI Risk Exposure in Rural Healthcare]

Publication pending

Coming Soon

[Whitepaper Title — Governance Frameworks for Rural AI Adoption]

Publication pending

Executive Briefings

Coming Soon

[Briefing — AI Governance Readiness for Rural Hospital Boards]

Publication pending

Coming Soon

[Briefing — Understanding Your Organization's AI Risk Posture]

Publication pending

Insight Publications

Coming Soon

[Insight — Workforce AI Literacy as a Risk Mitigation Strategy]

Publication pending

Coming Soon

[Insight — Vendor Neutrality in AI Governance Advisory]

Publication pending

Contact

Request an Executive
AI Risk Briefing.

Begin with a conversation about your organization's risk posture.

Praxis engagements are designed to be advisory-first—starting with a confidential conversation about your organization's current AI risk exposure and governance readiness. There is no obligation and no product pitch.

Whether prompted by a regulatory inquiry, a vendor proposal, workforce AI use, or strategic planning, the first step is the same: understand where risk exists today.

  • Advisory-first engagement model
  • Low operational burden on your team
  • Vendor-neutral and confidential
  • Designed for executive and board-level discussions