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Holistic AI
AI GovernanceAI AuditModel RiskRegulatory ComplianceResponsible AI
About
Holistic AI provides lifecycle governance, risk assessment and audit capabilities for AI systems.
The platform supports AI governance, regulatory readiness and model-risk workflows.
Dataleo perspective
Operational AI risk management requires a complete inventory, named owners, documented controls and evidence that policies are applied in production.
Supply Chain teams should connect regulatory assessments to real decision consequences, including human review, override authority and failure-response procedures.
Related content
Around Holistic AI (12)
- alertsREGULATION: EU AI Act enforcement and Article 50 transparency duties begin2026-08-02
- newsCoupa positions AI governance as a procurement-platform capability2026-07-28
- newsSnowflake introduces Business Ontology to ground AI agents in approved enterprise definitions2026-11-03
- insightsProcurement's AI skills gap: decision capability matters more than tool fluency2026-10-28
- insightsGartner: AI-driven supply chain headcount cuts put the next generation of planning judgment at risk2026-10-28
- newsDescartes adds an Agent Control Plane for governed cross-company logistics workflows2026-10-06
- alertsEVENT: INDL-9 examines the human data-work layer behind AI supply chains2026-09-11
- insightsReversibility as a rule for AI decision rights2026-08-24
- alertsEVENT: From Risk to Resilience — AI’s Role in the Modern Defense Supply Chain2026-08-18
- alertsEVENT: Supply-chain AI accountability focuses on the agent log2026-08-14
- insightsProcurement AI creates a second risk surface for every automated action2026-08-10
- insightsAI hardware ethics reframes semiconductor Supply Chain opacity as an accountability problem2026-08-08