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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
- insightsAgentic AI economics require value ownership beyond token-cost tracking2026-06-30
- insightsAI agents are reaching production faster than organizations are defining accountability2026-06-30
- newsKinaxis pushes agentic AI from planning insight toward operational orchestration2026-09-15
- alertsKinexions EMEA 2026 to focus on agentic AI and operational orchestration2026-09-15
- newsGoogle Cloud and Accenture form Gemini Enterprise delivery group for production AI adoption2026-09-11
- jobsCloud AI Engineer, Gemini Enterprise2026-09-11
- alertsEVENT: MIT session moves supply-chain AI discussion from analytics to agentic decision-making2026-09-11
- alertsEVENT: INDL-9 examines the human data-work layer behind AI supply chains2026-09-11