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Credo AI
Responsible AIAI GovernanceAI Risk ManagementAI ComplianceAgentic AI Governance
About
Credo AI provides governance, risk and compliance capabilities for inventorying, assessing and supervising AI systems.
The platform supports Responsible AI controls across models, applications and agents.
Dataleo perspective
Effective AI governance requires named owners, documented use cases, evaluation evidence, approval criteria and ongoing monitoring.
Supply Chain deployments should connect policy controls to operational consequences, including who can override recommendations and what happens when a model fails a risk threshold.
Related content
Around Credo AI (12)
- insightsReversibility as a rule for AI decision rights2026-08-24
- newsCoupa positions AI governance as a procurement-platform capability2026-07-28
- alertsEVENT: Supply Chain orchestration panel to examine agentic AI and human decision ownership2026-07-27
- insightsVendor AI agents introduce a new Supply Chain third-party risk layer2026-07-24
- newsSnowflake introduces Business Ontology to ground AI agents in approved enterprise definitions2026-11-03
- newsRELEX expands its agentic AI platform to coordinate planning and merchandising decisions2026-11-02
- 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
- newsOracle introduces Claw-powered agentic applications for supply chain planning and execution2026-10-27
- insightsDescartes and agentic AI: from orchestrated demos to accountable logistics execution2026-10-27
- insightsRetail planning beyond forecast accuracy: when inventory availability shapes marketing decisions2026-10-27
- newsC.H. Robinson extends Lean AI agents to ocean freight, air cargo and customs brokerage2026-10-26