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Credo AI Collaborates with Microsoft to Launch AI Governance Developer Integration to Fast-Track Compliant, Trustworthy Enterprise AI

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Now Live: Real-time collaboration between developers and AI governance teams to evaluate AI systems for risk, safety, performance, and quality

Credo AI, a global pioneer and leader in AI governance for the enterprise, today launched an integration with Microsoft Azure AI Foundry. First announced in November, the next step in this collaboration bridges a long-standing divide between technical development and AI governance teams—empowering enterprises to innovate with AI at speed and scale while simultaneously ensuring trust, safety, and compliance.

A recent Gartner report predicted that 60% of GenAI projects will fail after proof-of-concept due to gaps in governance, data, and cost control. Governance teams often lack the technical context to define or interpret AI evaluation results, while developers lack clarity on how to meet emerging governance requirements. The result is misalignment, friction, and AI innovation stuck in R&D.

Also Read: The Evolution of Data Engineering: Making Data AI-Ready

“As AI becomes central to enterprise value creation, governance must shift from reactive oversight to proactive enablement,” said Navrina Singh, Founder and CEO of Credo AI. “Our integration with Microsoft Azure AI Foundry represents a breakthrough: actionable, real-time governance that lives where AI is built. It’s how innovation accelerates with responsibility.”

“Credo AI’s integration tackles one of the biggest blockers in enterprise AI–the communication and alignment gap between AI governance teams and developers,” said Sarah Bird, Chief Product Officer for Responsible AI, Microsoft. “The integration delivers prescriptive guidance to AI governance leaders on what to evaluate and empowers developers to run governance-aligned evaluations directly within their workflow.”

The 1st Step to Solving the AI R&D Bottleneck

This integration marks a breakthrough in Credo AI’s vision to operationalize policy-to-code translation–turning abstract governance goals into concrete, actionable metrics and steps. By bridging policy and execution, the integration empowers governance teams to convert risk-management and innovation strategies into code-level evaluations–enabling scalable, measurable risk management across the AI lifecycle.

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The benefits of Credo AI’s integration with Azure AI Foundry:

  • Governance teams receive structured, validated technical evidence tied to each use case.
  • Developers get code to run evaluators (like groundedness, hallucination, bias) to ensure their development process is aligned with AI governance and business objectives
  • Evaluator results automatically flow back into the Credo AI platform, linking risk insights directly to governance workflows.

Also Read: Why multimodal AI is taking over communication

Unlocking Innovation with Built-In Trust

As part of this integration, all Azure AI Foundry models are governable within the Credo AI Platform, which is made possible by Credo AI’s automatic integration specific mapping to the appropriate policies, risks, and evaluation requirements. This ensures:

  • Faster AI adoption and approvals through contextual risk insights
  • End-to-end compliance visibility aligned with the EU AI Act, NIST RMF, and ISO 42001
  • Smarter investment decisions based on governance readiness and risk adjusted ROI

The integration is already in active pilots with select Global 2000 enterprises and has received strong enthusiasm from Microsoft teams and customers alike. Early users report accelerated model approval, clearer cross-team multistakeholder collaboration, and faster time-to-value for high-risk AI initiatives.

“At Version1, we’re using the new Credo AI and Microsoft Azure AI Foundry integration to streamline AI governance for our clients—embedding policy, risk, and compliance into development and easing the load on our AI Labs team,” said Brad Mallard, CTO of Version1.

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