Pick your scoping point
$4,900 – $12,500
A focused diagnostic when you need to scope your AI exposure or stand up the foundational governance package before committing to a full Sprint. Both tiers ship a board-ready artifact in under two weeks.
HEALTHCARE AI GOVERNANCE
Healthcare AI governance that survives the audit and gets used at the bedside.
I help mid-market health systems, payers, and digital health organizations build AI governance that survives HHS, JCAHO, and HIPAA review, then I make sure clinical and operational teams will actually use it. Most consultants stop at a written policy. I do the second half of the job.
Tiago Ferreira, Founder. Two Master's in cyberpsychology and digital transformation leadership. Federal government and startup background. Specialized in clinical, behavioral health, and digital health.
"In healthcare, the technology question was always the secondary one. The real question is whether the clinicians charged with using it were ever asked if they were ready."
Tiago Ferreira, Founder
HEALTHCARE GOVERNANCE
DAY 14
Mid-Market Health System · Sprint Output
Clinical Shadow AI
MAPPED
Model Governance Charter
DRAFTED
Acceptable Use (Clinical)
DRAFTED
Vendor Risk (Clinical AI)
DRAFTED
JCAHO + HHS Checklist
ALIGNED
ROI Roadmap
3-5 USE CASES
REGULATORY FLUENCY
JCAHO
Algorithmic vigilance, DSI standards
HHS
December 2025 AI Strategy
HIPAA
Privacy-aligned AI implementation
WHY HEALTHCARE IS DIFFERENT
Same methodology. Different stakes.
Every industry talks about AI adoption. In healthcare, you're asking clinicians to trust AI with patient outcomes, clinical judgment, and workflows they've spent years mastering. The work is the same shape, but the rigor has to match what's at stake.
01
Clinical confidence is built, not declared
When AI makes a recommendation, clinicians need to understand where it came from and when to override it. That confidence comes from hands-on experience, clear guidelines, and knowing their expertise still matters. It doesn't come from a demo.
02
Trust moves at the speed of evidence
Clinicians, therapists, and care teams build trust through experience. A successful pilot in one department doesn't automatically translate to buy-in across the organization. Adoption design accounts for that, deliberately.
03
Regulation is the floor, not the ceiling
HIPAA, JCAHO algorithmic vigilance, evolving HHS AI guidance, and patient-safety protocols mean every AI decision has to be defensible. Governance is built for board sign-off and regulator review, not just internal consumption.
04
Champions carry more weight than systems
Early AI adopters in clinical settings absorb cognitive load that doesn't show up in any dashboard. When you invest in their wellbeing and give them real support, they become the engine that pulls everyone else forward.
WHAT WE DO
Three pillars. Tuned for clinical reality.
Most healthcare AI consulting separates strategy, governance, and adoption into different teams. We don't. Each pillar is the same problem, viewed from a different angle.
01
Clinical AI Governance
Model Governance Committee charters, clinical AI Acceptable Use Policies, vendor risk frameworks, and regulatory alignment for HHS, JCAHO, and HIPAA. The infrastructure that lets your board sign off on AI decisions and lets your compliance team defend them.
02
Behavioral Adoption Design
Cyberpsychology applied to clinical and operational teams, paired with the workforce readiness and change architecture that gives clinicians sanctioned AI workflows before they go looking elsewhere, and training that sticks because it was designed for the people who will actually use it.
03
Clinical Data & Infrastructure Hygiene
AI amplifies dirty data, especially in healthcare where every record carries patient context. We rebuild the foundation before the agents touch it.
WHO WE WORK WITH
Six segments. One methodology.
The behavioral science applies across healthcare. The regulatory context, clinical workflows, and operational stakes shift by segment.
Hospitals & Health Systems
Multi-department AI rollouts, clinical workflow integration, staff readiness across disciplines, board-level governance.
Mental & Behavioral Health
Therapist-facing AI tools, clinical decision support adoption, provider wellness, and confidentiality-aligned implementation.
Digital Health & Health Tech
Customer adoption of AI features, clinician onboarding, user readiness for AI-powered platforms, and category-leadership governance.
Clinics & Specialty Practices
Ambient scribe adoption, AI scheduling and triage tools, small-team change management, and operational governance for tight teams.
Healthcare Executives
CIOs, CMIOs, COOs, CHROs: leaders who need their AI investments to actually deliver, with board reporting that holds up under scrutiny.
Compliance & Governance Teams
Responsible AI governance, workforce training documentation, HIPAA-aligned implementation, JCAHO algorithmic vigilance preparation.
THREE WAYS TO WORK TOGETHER
The Sprint is the right starting point for most health systems.
A productized entry-tier audit when you need to scope before you commit, the Sprint as the recommended starting point for board-mandated AI governance work, and an embedded Fractional CAIO when clinical AI leadership becomes a permanent need. Every tier maps to HHS, JCAHO, HIPAA, and FDA standards.
AI Readiness Sprint
$9,500
All six board-ready deliverables in one package: Shadow AI Inventory, Governance Charter, Acceptable Use Policy, Vendor Risk Framework, ROI Roadmap, and Regulatory Alignment Checklist (HHS, JCAHO, HIPAA). The fixed-price diagnostic most health systems use as their starting point.
Learn more →Fractional CAIO Retainer
$15K–$20K / mo
Embedded executive AI leadership at the leadership table. 3 to 4 days per month, ownership of clinical AI governance, vendor diligence, and workforce adoption. Begin with the AI Readiness Sprint or Governance Quick Start; the diagnostic earns the retainer and replaces a separate onboarding fee.
Learn more →The Sprint is the most common starting point for health systems that want a single board-ready package. The entry-tier audit exists when you need to scope before committing, and the retainer exists when clinical AI leadership becomes a permanent seat. Health insurers and payers operating under NAIC oversight should start with the dedicated NAIC AI Readiness Audit.
MS, CYBERPSYCHOLOGY · WALDEN
MS, DIGITAL TRANSFORMATION · CHAMPLAIN
MBE-CERTIFIED · FEDERAL
JMIRx MED, 2024
WHO YOU WORK WITH
Tiago Ferreira
Founder & Fractional Chief AI Officer
NOWEmbedded with a U.S. life insurance carrier
ADVISINGA healthcare AI startup
Behavioral science as the foundation of clinical AI adoption. Not a wrapper.
Two Master's degrees: Cyberpsychology (the science of how people interact with technology) and Digital Transformation Leadership. Background spans U.S. Government and startup environments. Published research on technology and behavioral adaptation in JMIRx Med (2024).
READY TO START?
Two weeks. Board-ready. Built for healthcare.
The AI Readiness Sprint is the cleanest way into the practice. $9,500 fixed, 14 days, governance and adoption deliverables tuned for HHS, JCAHO, and HIPAA, no retainer required.