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I help mid-market healthcare and insurance organizations build AI governance that survives a regulatory audit, then I make sure the workforce will actually use it. Most consultants stop at a written policy. I do the second half of the job.
Tiago Ferreira, Founder. AI governance frameworks aligned to NAIC Model Bulletin and HIPAA. Federal government and startup background, with the methodology grounded in cyberpsychology and digital transformation leadership.
If two or three of these sound familiar, the work I do will probably help.
Leadership wants a clear point of view before another pilot lands in someone's inbox.
Licenses are paid, training is scheduled, and usage data tells a quieter story.
There is no single name on the slide, and it is starting to show in the questions you cannot answer.
Each is right inside their lane. Without a translator, the org loses months to friction that has nothing to do with the technology.
The work is real, but the role is too new, the talent too scarce, and the budget commitment too large for where you are today.
Each phase has a clear deliverable. None of them ends in a deck nobody opens again.
Typical engagement: 6 to 12 months.
Phase transitions happen as readiness, not as deadlines.
Five quick questions, about thirty seconds. No email, no signup, just an honest mirror before you spend another dollar on tools.
Want the full picture? The 15-question AI Readiness Check segments your score across leadership, implementation, and sustainability, then matches you to the right engagement tier.
A 30-second gut check. Honest answers only.
A productized entry-tier audit when you need to scope before you commit, the Sprint as the most common starting point, and an embedded Fractional CAIO when it earns the seat.
$3,500 – $4,900
Three productized entry tiers tailored to your industry and immediate concern. Each ships a board-ready artifact in under two weeks, all under VP discretionary spend.
$7,500
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. The fixed-price diagnostic that earns the right to the retainer.
Learn more →$15K–$20K / mo
Embedded executive AI leadership at the leadership table. 3 to 4 days per month, ownership of governance, vendor diligence, and workforce adoption. $15K onboarding fee, waived for Sprint completers.
Learn more →A full-time Chief AI Officer in the U.S. averages $352K base in 2026, often $500K loaded with benefits and equity. The fractional retainer brings embedded executive AI leadership at roughly half that loaded cost. Sources: Glassdoor 2026 · Umbrex Fractional CAIO Playbook
Fractional Chief AI Officer · Cyberpsychology + Digital Transformation Leadership
My career started in U.S. federal government, where audit and compliance are baseline expectations, and then moved into high-growth startups where you ship under real constraint. Both lenses show up in the work I do today: governance frameworks that survive a regulatory audit, and adoption design that actually moves under deadline pressure.
Two master's degrees give me the lens most fractional CAIOs do not bring to the room. Cyberpsychology covers how people actually interact with technology under load, deadline, and identity threat. Digital transformation leadership covers how to lead organizations through structural change without breaking the people inside them. Together they explain why the adoption side stalls, and how to design around it.
Looking for retainer-specific questions? See the Fractional CAIO FAQ.
Elevida is an AI governance and Fractional Chief AI Officer practice for mid-market healthcare and insurance organizations, where I help leaders build the AI governance foundation regulators ask about and then make sure the people inside the organization will actually use it. Most consultants stop at a written policy, but I do the second half of the job, applying cyberpsychology and behavioral science so the framework holds in the real workplace and not just on paper. The work is led by Tiago Ferreira from Tampa Bay, Florida, with clients across the United States and a career rooted in U.S. federal government and high-growth startups.
Most fractional AI executives come from engineering or CTO backgrounds. Tool selection sits at the top of the scope, change management lands near the bottom. Elevida runs the engagement in the opposite order. The human infrastructure (psychological safety, confidence, workflow integration, governance) is the strategy. Technology decisions still get made, but they serve the people side.
The technology is rarely the bottleneck. McKinsey's State of AI 2025 finds 88 percent of organizations now use AI in at least one business function, but only 7 percent have fully scaled AI across the organization. The gap is human: psychological safety, identity, workflow integration, and governance. That gap is where Fractional CAIO work lives.
Yes. The $7,500 AI Readiness Sprint is a 14-day fixed-scope diagnostic with no expectation of further engagement. The six board-ready deliverables are yours either way. Many leaders use the Sprint to baseline their organization before deciding what comes next.
Big-firm consulting leaves a deck. A Fractional CAIO owns the plan and is accountable for it. The work is embedded at the leadership table, not delivered from a distance. The methodology is grounded in behavioral science (cyberpsychology, positive psychology) so adoption actually happens, not just gets recommended.
Pure AI infrastructure builds, model training, or technical productization. If the work in front of you is engineering rather than adoption, a Fractional CTO or Head of AI Engineering is the right hire. Elevida specializes in mid-market healthcare and insurance where the bottleneck is governance proof and workforce adoption, not technology.
“AI works when the people side gets the same investment as the technology side. That is the practice.”
Tiago Ferreira, FounderA 30-minute discovery call. No pitch. Just an honest conversation about where you are and what would actually help.