Compare the Top AI Control Planes that integrate with Azure DevOps as of October 2026

This a list of AI Control Planes that integrate with Azure DevOps. Use the filters on the left to add additional filters for products that have integrations with Azure DevOps. View the products that work with Azure DevOps in the table below.

What are AI Control Planes for Azure DevOps?

AI control planes are centralized platforms that help organizations govern, manage, secure, and observe AI models, agents, applications, and infrastructure across enterprise environments. These platforms provide a unified layer for controlling access to AI services, routing model requests, enforcing policies, managing credentials, tracking usage, and monitoring performance across multiple models and AI providers. AI control planes often include capabilities such as model gateways, AI agent governance, guardrails, cost management, observability, security controls, audit logging, rate limiting, and policy enforcement. Many solutions integrate with large language models (LLMs), AI agents, cloud AI services, inference platforms, identity systems, developer tools, and enterprise applications to provide centralized oversight of an organization's AI ecosystem. By consolidating AI management and governance into a common control layer, AI control planes help organizations reduce risk, control costs, improve visibility, and scale AI adoption across teams and applications. Compare and read user reviews of the best AI Control Planes for Azure DevOps currently available using the table below. This list is updated regularly.

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    Axiamatic

    Axiamatic

    Axiamatic

    Axiamatic is an AI-native control plane for enterprise transformation, designed to help transformation teams see, decide, and act at every step of complex programs. It continuously maps live program work into a shared context, building an always-on digital twin that preserves every decision, rationale, dependency, artifact, and signal as work evolves. It ingests and analyzes structured and unstructured data across enterprise systems, documents, tickets, workshops, conversations, and meetings, creating a Living Context Graph that keeps full program context available instead of reducing reality to static status summaries. Specialized transformation agents detect structural breakdowns as they form, including translation loss, cross-stream drift, scope drift, missed requirements, dependency conflicts, stakeholder misalignment, and emerging change resistance.
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