AI Readiness & Governance
The entry point. A structured diagnostic of where AI already lives in your system, a HIPAA and HITRUST AI risk read, an AI governance charter, and a vendor evaluation framework.
Most health systems now run several AI tools at once, with no physician-executive in the room when those tools are selected, governed, or measured. A3HCS is the clinical operating layer the technology vendors cannot provide. We do not build AI. We make the AI you already own safe, governed, and operationally useful.
Or book a free 20-minute scoping call →Sources: Eliciting Insights 2026 AI Adoption Survey, via Fierce Healthcare . Black Book Research, Nov 2025, via Becker's Hospital Review
Health systems are buying point solutions with no operating layer, no governance, and no physician-executive translating AI risk into the language of health system operations. The data tells the story: adoption is nearly universal, but only a quarter of hospitals can govern or audit what they have deployed. A3HCS does not compete with the firms that build AI. We are the layer health system executives trust to make those tools safe, governed, and operationally useful.
Each layer stands on its own. Together they create the governed, measured AI operation most systems are missing. Most engagements start at Layer 01 and grow from there.
The entry point. A structured diagnostic of where AI already lives in your system, a HIPAA and HITRUST AI risk read, an AI governance charter, and a vendor evaluation framework.
Mapping the AI point tools you already bought, ambient scribes, RCM, CDI, into one coherent workflow. Vendor orchestration and gap identification across the clinical and administrative stack.
The recurring layer. A fractional Chief AI Officer seat: monthly AI council facilitation, KPI frameworks for AI ROI, clinician-adoption change management, and clinician-in-the-loop design for triage and risk AI.
CME-eligible AI literacy for clinical staff, executive AI briefings, and prompt workshops for care teams. Bridges directly into the Brain Revives education pipeline.
Most AI consultants have never shipped a model. We build and operate our own AI systems. That is how we know what a governed AI operation actually takes.
An eight-agent operating system we run in-house. Clinician-credentialed agents handle research, education, and content production, while a physician stays the Commander with clinical judgment at the decision point.
Proof of clinician-in-the-loop AI operating design and AI-built CME.
Multi-agent . human-in-the-loopA live clinical AI product at medplate.io. A photo-based food-drug interaction co-pilot, built by a physician as a mobile-first tool for people on medications.
Proof we build and ship real clinical AI, not slideware.
Next.js . PWA . shippedOur own delivery and audit tooling, including an AI/ML surface governance module that assesses vendor and model risk alongside the security scan.
Proof we build the governance and audit layer, not just advise on it.
Scan engine . governance moduleEvery signal flows through a governed pipeline. Two agents gather and brief, six produce, and a physician reviews and decides. The clinician-in-the-loop is the design, not an afterthought. This is the same operating discipline we bring to a health system's AI.
A physician-executive discovery sprint. Six clinician and executive interviews synthesized into one launch-shaping thesis: the real product wedge, the buyer map, and the three barriers that decide adoption. Client anonymized by request.
Read the case study →AI OS is not a sixth vertical. It is the intelligence layer across the four you already know.
Is your ambient documentation tool actually integrated into the discharge workflow? AI adoption is audited inside the operational diagnostic.
HIPAA risk now includes AI vendor data flows. The AI OS layer adds AI-specific vendor risk assessment alongside the security scan.
AI is reshaping medical affairs, publications, and field medical. We advise where AI belongs and where physician oversight is still required.
Building a clinical AI or SaMD product? FDA AI/ML guidance, IRB framing, and clinical validation design before you go to pilot.
One operating layer, three steps. Diagnose where you are, build the governance and workflow, then operate it. Every fee is flat and published.
A fixed-fee, 3 to 4 week read of where AI lives in your system, your HIPAA and HITRUST risk, and your governance gaps.
Stand up the layer: an adoptable AI governance charter, plus your existing AI tools mapped into one governed, measured workflow.
Ongoing physician-executive AI leadership: council facilitation, ROI measurement, and clinician-adoption design.
Plus AI Workforce Enablement, CME-eligible AI literacy and executive briefings for your teams, per-seat or enterprise license, from $3,500.
All fees flat and published, aligned with our price-transparency commitment (45 CFR Part 180). The AI Readiness Diagnostic credits toward a larger engagement.
A two-to-four-week structured diagnostic delivered as an executive memo, not a deck. It defines where your system is losing time, margin, and trust, and identifies the two-to-three corrections worth investing in next.