Services / AI Governance · AIGaaS

Governance of what actually runs.

AIGaaS continuously governs deployed clinical AI: drift, bias, safety scoring, compliance. Every model in production, validated and monitored, with an audit trail your board can read.

The Problem, In Your Language

Every department is piloting AI. Nobody can list what's running, what it touches, or who approved it. Your vendors ship models inside the EHR faster than your committee can meet, and CMS-0057-F lands January 2027.

A governance policy in a shared drive is not governance. Governance is the operating capability to validate, monitor, and retire clinical AI continuously, with evidence.

The Offer

A governance capability, delivered and operated.

Framework first: methodology, partnership substance, and artifacts that are real today. Named production proof is published as the proof engine delivers it, never before.

01 / ESTABLISH

Governance Foundation

AI inventory, risk-tiering, model cards, validation protocol, committee operating cadence, mapped to NIST AI RMF and CHAI-class assurance frameworks.

02 / OPERATE

AIGaaS Continuous Monitoring

Drift, bias, and safety scoring on every deployed model, vendor AI included. Continuous, never a one-time assessment.

03 / EVIDENCE

Audit-Ready Artifacts

Validation reports, immutable decision logs, and a CHAI-aligned evidence pack your compliance and legal teams can stand behind.

NIST AI RMF MappedCHAI-Aligned EvidenceHITRUST r2CMS-0057-F Ready
Proof Specific to This Practice
90
Days to governance foundation

Inventory, framework, and first governed use case: fixed Sprint scope.

100%
Deployed models under monitoring

The AIGaaS standard: nothing runs unwatched, vendor AI included.

Jan 2027
CMS-0057-F deadline

Readiness assessment mapped to the mandate's milestone dates.

Deploy AI with board-ready guardrails.

Explore how our 90-Day Sprint implements AIGaaS and deploys your first compliant AI model.

Explore 90-Day Sprint →