HUMA™
The Human-Centered Unified Model for AI Governance.
Regavon's proprietary methodology for operationalizing AI governance — connecting AI systems and use cases to human accountability, risk, controls and evidence.
- 01Humans
- 02Use Cases
- 03AI Systems & Models
- 04Accountability
- 05Controls & Evidence
- 06Continuous Governance
Govern the system around AI.
AI governance is more than governing a model. HUMA™ establishes who owns an AI use case, how its risk is classified, who approves it, where human oversight is required, what controls apply and what evidence demonstrates those controls are operating.
What HUMA™ governs.
01
Inventory & Ownership
Know what AI exists and who is accountable.
Identify AI systems, models, vendors and use cases across the organization and assign clear business and governance ownership.
02
Risk Classification
Apply governance proportional to risk.
Classify AI use cases based on impact, autonomy, affected individuals, data sensitivity, regulatory exposure and potential harm.
03
Lifecycle Governance
Govern AI from intake through retirement.
Establish governance across intake, assessment, approval, deployment, material change, monitoring and retirement.
04
Human Oversight
Define where humans remain accountable.
Establish who reviews AI outputs, who makes consequential decisions, when escalation is required and who has authority to intervene or override.
AI can augment decisions. Accountability remains human.
05
Controls & Evidence
Turn governance requirements into operating controls.
Translate policies and requirements into controls, ownership, documentation and evidence that demonstrate governance is operating in practice.
06
Monitoring & Continuous Governance
Govern as AI changes.
Monitor risk, controls, incidents, model or vendor changes and regulatory developments so governance evolves with the organization.
Workforce Decision Rights
Human oversight, defined as authority.
HUMA™ Workforce Decision Rights turns “human oversight” into defined authority. Each workforce AI use case is evaluated to determine whether AI may:
- 01Inform
- 02Recommend
- 03Rank
- 04Draft
- 05Decide with human approval
- 06Decide autonomously
- 07Never decide
AI can augment decisions. Accountability remains human.
Built to operationalize recognized AI governance requirements.
Standards and regulations establish requirements and expectations. HUMA™ provides Regavon's methodology for translating them into governance that operates inside the organization.
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HUMA™
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Inventory · Risk · Ownership · Lifecycle · Oversight · Controls · Evidence · Monitoring
HUMA™ is Regavon's proprietary methodology. It is not endorsed, accredited or certified by NIST, ISO, the European Union or any regulatory organization.
One methodology. Across the governance lifecycle.
HUMA™ underpins Regavon's AI governance engagements — from initial assessment and governance design through controls, evidence and continuous oversight.
01
Assess
Understand maturity, inventory, risk and gaps.
02
Implement
Establish ownership, governance processes, controls and evidence.
03
Govern
Monitor, reassess and continuously improve.
Free Resource
The HUMA™ Guide to Operational AI Governance
A practical introduction to building accountable, human-centered AI governance — from AI inventory and risk classification to oversight, controls and evidence.