Studio · AI Governance
Develop governance in days, not months.
Governance that lives in a binder protects no one. AI Governance operates inside the workflow, so your organization can adopt AI faster, and the people accountable for it can stand behind it with evidence.
What it does
An AI Management System (AIMS), configured for your institution
Policy & Process Management
Co-author policies and SOPs, or ingest and align existing ones. Templates mapped to FDA, ONC, and CMS. Actionable, not aspirational.
Workflow Orchestration
Workflow graphs run on the orchestrator as guided, automated processes: human tasks plus automated actions with evidence collected at each touchpoint.
Risk Stratification
Not every tool carries equal patient-safety stakes. A risk framework focuses governance where it matters most.
Audit-Readiness
Always inspection-ready, with documentation, evidence trails, and reporting for accreditors, legal review, and the board.
How it works
From Blueprint to AI Governance Operationalization
Mode 1 · Building & Configuring
From context to a configured program
A guided wizard captures organizational context: goals, maturity, regulatory targets. Agentic recommendations produce a prioritized governance & operational blueprint, phased Now / Next / Later.
Mode 2 · Operationalizing
Running your AI Management System
Documentation activities, workflow execution, and ongoing governance: program-level dashboards, agent-assisted alert triage, and reporting for leadership and regulators.
Aligned by constructionISO 42001 · NIST AI RMF · FDA · ONC (HTI) · CMS · The Joint Commission
See it in action
