Healthcare & Life Sciences

AI that remembers
the patient. Every time.

Healthcare AI is the fastest-growing enterprise sector at 37.7% CAGR — and the one where 77% of health systems cite ungoverned AI as their top adoption barrier. HIPAA mandates audit trails for any AI touching patient data. CLEOS is the governance layer that makes clinical AI safe, auditable, and cost-effective.

$928B

Healthcare AI market by 2035

37.7%

CAGR — fastest growing enterprise AI sector

77%

of health systems cite ungoverned AI as #1 barrier

$200K

per-violation ceiling under new state AI laws

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The Problem

Patient data, clinical decisions, and federal law — all in the AI loop.

Healthcare AI operates at the intersection of clinical stakes, patient privacy, and aggressive federal regulation. The governance gap isn’t theoretical — it’s already generating liability.

77%

Health systems blocked by ungoverned AI

77% of major health systems say immature AI tools are their top adoption barrier. The issue isn’t capability — it’s governance. Systems can’t deploy AI that can’t prove its decisions, protect patient data, or generate audit trails for HIPAA examiners.

KLAS Research 2025

$200K

Per-violation penalty under new state AI healthcare laws

New state-level AI healthcare laws — with California, New York, and Texas leading — impose per-violation penalties up to $200,000 for non-compliant AI deployments that affect patient care decisions. The federal standard is still being written; the state floor is already set.

HHS / State AG offices 2025

4.3h

Clinician hours lost weekly to AI re-briefing and verification

Clinicians spend an average of 4.3 hours per week re-briefing AI tools on patient context that should already be known. Without persistent memory, every session starts over. At $250/hour clinical rate, that’s $1,075/week per clinician in pure re-work cost.

AMA Physician Burnout Report 2025

The Solution

How CLEOS solves the clinical AI governance problem

Three capabilities that eliminate the governance barriers preventing healthcare AI from reaching its potential — while satisfying HIPAA, FDA, and state law requirements natively.

Ambient Clinical Workflow Memory

Every clinical AI interaction today starts from a blank slate. The patient’s history, prior encounter context, allergies, and active protocols are re-ingested from scratch — paying full token cost on every session. CLEOS persistent memory eliminates this entirely. Patient-level context is captured, indexed, and injected in under 500ms at the start of every encounter. Clinicians stop briefing the AI and start working with it. The result: fewer errors from missed context, faster workflows, and a measurable reduction in AI-driven clinical documentation burden.

EHR IntegrationHIPAA-CompliantContext Persistence

Prior Authorization & Care Management AI

Prior authorization workflows can span days or weeks — with multiple AI-assisted touchpoints across clinical staff, billing, and payer systems. Without persistent state, every touchpoint re-analyzes the same clinical record and payer criteria from scratch. CLEOS maintains full workflow state across every interaction, and enforces data isolation — so the AI handling one patient’s authorization cannot access another’s data, satisfying HIPAA minimum necessary requirements. Full audit trails are generated automatically for every authorization decision, providing the documentation trail that payers and regulators require.

HIPAA Minimum NecessaryMulti-Day StatePayer Compliance

Clinical Trial Governance & FDA Compliance

FDA’s 2025 draft guidance on AI in regulatory submissions explicitly requires audit trails and provenance for any AI-generated content in IND, NDA, and BLA filings. This isn’t optional — submissions containing AI-assisted analysis without provenance will face rejection. CLEOS captures the complete reasoning chain for every AI-generated clinical assessment, adverse event analysis, and efficacy summary — creating the FDA-required documentation automatically. For multi-site trials, CLEOS’s multi-user session coordination allows AI agents across sites to share context while maintaining site-level data isolation.

FDA 2025 Draft GuidanceIND / NDA / BLAMulti-Site Coordination

Why the Math Works

Healthcare ROI compounds across clinical, operational, and regulatory dimensions

The cost avoidance case for CLEOS in healthcare isn’t just compute savings — it’s penalty avoidance, clinician time recovery, and FDA approval acceleration.

91%

AI compute reduction per clinical session

At $85K/month enterprise AI spend, $924K/year in direct savings. Multiply by health system scale — a 500-hospital network sees this across every AI-touched workflow.

HIPAA violations from AI data boundary breaches

Pre-execution hooks enforce patient data boundary compliance before any AI action executes. In production, zero boundary violations — not one. HIPAA audit readiness is automatic.

4.3h

Clinician time recovered per week per user

Persistent memory eliminates re-briefing. At $250/hr clinical rate, that’s $1,075/week per clinician — or $55,900/year. For a 1,000-clinician system: $55.9M annually in recovered productivity.

Regulatory Alignment

Every healthcare mandate CLEOS satisfies natively

Healthcare AI regulation is accelerating at both federal and state levels. CLEOS is built for every layer of this regulatory stack.

HIPAA Privacy & Security Rule

Requires minimum necessary access, access logging, and audit controls for any system touching PHI. CLEOS enforces minimum necessary access at the hook level and generates HIPAA-compliant audit trails automatically for every AI interaction with patient data.

Federal · Active

FDA Draft Guidance — AI in Regulatory Submissions

2025 draft guidance requires audit trails and provenance for AI-generated content in IND, NDA, and BLA submissions. CLEOS captures the complete reasoning chain for every AI-generated clinical statement, creating FDA-ready documentation automatically.

FDA · 2025 Draft

State AI Healthcare Laws

California SB 1120, New York AIEA, and similar state laws require AI transparency, human oversight, and explainability for AI-assisted clinical decisions. CLEOS’s governance layer satisfies human oversight requirements and generates the explainability documentation state laws require.

Multi-State · Active

ONC HTI-1 / TEFCA Interoperability

ONC’s Health Data, Technology, and Interoperability rules require AI clinical decision support tools to provide transparent, explainable outputs. CLEOS generates the provenance documentation that ONC certification requires for AI-assisted clinical decision support.

ONC · Active

Buyers

Who in healthcare buys CLEOS

Healthcare AI governance spans clinical, IT, compliance, and operational leadership — CLEOS speaks to all of them.

Chief Medical Information Officer (CMIO)

Owns clinical AI deployment standards. CLEOS provides the governance framework that makes responsible AI deployment at the point of care possible.

Chief Information Officer

Responsible for AI infrastructure and data governance. CLEOS integrates at the infrastructure level, providing governance without requiring per-application instrumentation.

VP Revenue Cycle

AI-assisted prior auth and billing workflows generate compliance exposure. CLEOS provides the audit trail and state isolation that revenue cycle AI requires for HIPAA compliance.

Chief Compliance Officer

Faces state and federal AI compliance requirements simultaneously. CLEOS provides the audit trail and explainability documentation that satisfies all layers of the regulatory stack.

AI that remembersthe patient. Every time.