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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)
- 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
- alertsRISK: AI agents should not run supply chains without physical context and human oversight2026-06-01
- alertsWARNING: Agentic AI supply chain software spend is projected to surge, raising governance pressure2026-04-07
- alertsREGULATION: EU AI Act enforcement and Article 50 transparency duties begin2026-08-02
- newsHaizol launches HaiBot, an agentic AI system for manufacturing sourcing2026-07-25
- jobsDirector — Supply Chain Procurement Advisory, Genpact2026-07-24
- alertsEVENT: Trade Compliance Tech examines AI across ERP, classification and export-control workflows2026-07-22
- newsAltana acquires Cervo AI to automate customs-entry preparation2026-07-21