AI adoption is accelerating. Is your governance keeping up?
ARVELLIS helps healthcare organizations identify governance gaps, examine the evidence behind their controls, build practical management systems, and prepare the people responsible for using AI.
Using AI is not the same as governing it.
Healthcare organizations may already use AI in clinical, operational, administrative, security, or vendor-supported workflows. Responsible adoption requires more than a policy. Leaders need to know which systems are in use, who is accountable, how risk is assessed, whether controls operate as intended, and what evidence supports that conclusion.
Governance produces evidence. Evidence builds trust. Trust enables responsible adoption.
Build the evidence to trust AI.
- Governance
- Evidence
- Trust
- Responsible adoption
ARVELLIS connects governance activities to the evidence decision-makers, practitioners, customers, and oversight bodies need. The objective is not paperwork for its own sake. It is a management system that helps an organization use AI deliberately, transparently, and accountably.
One pathway with multiple entry points
Organizations may begin with a quick scan, an executive discovery, a detailed assessment, a governance roadmap, or workforce training. Each entry point supports the same objective: a defensible, evidence-based approach to responsible AI in healthcare.
Quick Scan
Create an initial mirror of governance strengths and gaps.
Executive Discovery
Understand context, use cases, risk, and readiness.
Evidence-Based Assessment
Examine whether controls exist and operate in practice.
Roadmap and System Support
Build the policies, roles, registers, monitoring, and evidence structure.
Workforce and Practitioner Training
Prepare the people expected to operate the system.
See where governance may not be keeping pace
The Responsible AI Quick Scan gives leaders an initial view of potential gaps across accountability, risk management, privacy, cybersecurity, human oversight, vendor governance, lifecycle controls, and monitoring.
It is a starting point for discussion, not an audit, certification, legal opinion, or determination of conformity.
Understand why the gaps matter in this organization
Executive Discovery connects the initial findings to the organization's strategy, AI use cases, clinical and operational implications, responsibilities, safety concerns, privacy and cybersecurity obligations, vendor dependencies, and readiness for change.
Move from stated policy to operating evidence
The assessment examines more than whether a policy exists. It looks for ownership, implementation, control operation, exceptions, monitoring, review dates, and evidence that the organization follows the process it describes.
Build a practical system for accountable AI
ARVELLIS can help translate findings into a prioritized roadmap that addresses policies, roles, AI inventories and use-case registers, risk classification, human oversight, vendor governance, lifecycle monitoring, evidence management, AI objectives, development of a statement of applicability, and continuous improvement.
Prepare the people who must operate the governance system
The healthcare-focused training translates responsible AI governance into practical responsibilities, decisions, activities, and work products. It is modular, workbook-supported, and designed for governance, compliance, risk, privacy, cybersecurity, health IT, informatics, quality, safety, and operational teams.
The program uses fictional and illustrative data, prohibits the use of actual protected health information in exercises, and can be packaged in SCORM 2004 for compatible learning environments.
Aligned with ISO/IEC 42001 concepts
The ARVELLIS program uses ISO/IEC 42001 as a governance framework and incorporates relevant management-system concepts. Participation does not certify an organization, establish conformity, or guarantee compliance with a law, regulation, contract, or standard.
Responsible AI safeguards
- Fictional or illustrative organizational and patient scenarios are used throughout.
- Learners are instructed never to enter actual protected health information into exercises, worksheets, or text fields, with the reminder placed at the point of data entry.
- Regulatory, governance, and standards currency is reviewed, including source, as-of date, verifier, and last-checked date.
- Legal conclusions, certification decisions, and conformity determinations are reserved for appropriately authorized professionals and bodies.
Start with what your organization needs to understand.
Begin with an initial scan, examine a specific governance question, assess the evidence behind existing controls, or prepare the people responsible for operating the system.