An operating model for enterprise AI.
AI Fabrix is built on a small set of structural pillars designed for governance, scale, and trust.
AI Fabrix is an enterprise AI control and execution fabric that runs entirely inside your Azure tenant. It extends Microsoft’s cloud and AI services with the governance, identity, and environment control required to move AI from pilots to production — safely and predictably.
Unlike external SaaS AI platforms, AI Fabrix does not copy data, bypass identity systems, or introduce hidden control planes. All AI agents, workflows, and integrations operate using your existing Azure infrastructure, Entra ID identities, and security boundaries.
At the center of the platform is Miso Controller — the enterprise control plane that governs identity, access, environments, policies, and audit across all AI workloads.
Miso Controller is the governance layer of AI Fabrix. It separates control from execution, ensuring that AI runtimes remain lightweight while all enterprise rules are enforced consistently.
Miso centrally manages:
This allows AI to operate under the same identity, permission, and compliance rules as human users — without duplicating RBAC logic across tools.
AI Fabrix introduces an environment-first authorization model designed for enterprise delivery.
Applications define their roles and permissions once. Miso binds those roles to enterprise identity groups per environment, allowing different access levels in Development, Test, and Production.
This enables:
—all without rewriting access logic or maintaining separate identity models per tool.
AI Fabrix integrates with enterprise identity providers using open standards:
AI Fabrix enables AI to perform real enterprise actions — safely.
AI agents cannot directly modify enterprise systems. All write actions are routed through Miso’s governed execution layer, where permissions are evaluated and every action is logged.
This ensures:
AI doesn’t bypass governance — it enforces it.
AI Fabrix enables attribute-based access control (ABAC) using business metadata.Labels derived from CRM, collaboration, and HR systems are used to enforce permission-aware retrieval across documents and vectors. AI responses are generated using only the data the user is allowed to see — in context.
This enables safe, explainable Retrieval-Augmented Generation at enterprise scale.
AI Fabrix is designed for production deployment, not experimentation.
What works in pilot works in production — without redesign.
Every AI action is logged, auditable, and traceable.
AI Fabrix aligns with ISO-27001 principles and supports regulated industries by providing centralized audit logs, policy decision tracking, and environment-level observability — all inside the customer tenant.
Open Standards. No Lock-In. Full Control.
AI Fabrix is built on open, proven standards such as OpenAPI, OIDC, SCIM, and MCP. Customers retain full ownership of their infrastructure, data, and exit strategy — always.
Most enterprise AI fails not because of models, but because AI lacks governed, contextual, per-user data. AI Fabrix solves this with CIP (Composable Integration Pipelines): an AI-native dataplane that delivers secure, permission-aware data to AI by design.
CIP is a declarative integration layer built for AI.
It replaces:
With:
Think of CIP as dbt for APIs — with enterprise security and AI context built in.
Traditional integration patterns break when AI is introduced:
CIP removes these failure modes structurally. AI never sees raw systems.
AI only receives governed, scoped, auditable data.
With CIP, enterprises can:
Microsoft delivers powerful AI services such as Microsoft Copilot, Azure OpenAI, and Azure AI Search. These are essential building blocks — but by themselves, they do not provide the full enterprise AI fabric.
AI Fabrix is not a competitor to Microsoft. Instead, it complements Microsoft by adding the missing enterprise control layer: governance, metadata-aware retrieval, and predictable economics — all running in your own Azure tenant.
- Copilot is user-facing: It provides productivity features inside Office, Teams, and Dynamics, but it is limited to those applications.
- Fabrix is platform-level: It governs, orchestrates, and secures all enterprise AI workloads across Microsoft 365 and beyond.
This distinction allows enterprises to use Copilot for personal productivity while relying on Fabrix for governed, organization-wide AI adoption.
Many CIOs report that using Copilot alone requires a lot of manual work:
- Custom connectors must be coded and maintained separately.
- Compliance, audit, and quota enforcement are missing.
- No central governance across AI pipelines.
- Cross-system knowledge retrieval needs heavy custom development.
Fabrix fills these gaps out of the box, turning Microsoft’s AI services into an enterprise-ready platform.
AI Fabrix enables enterprises to build secure, policy-aware AI solutions on top of Microsoft services. Its in-tenant design, metadata-aware retrieval, and governance features make it ideal for scenarios where compliance and business value must go hand in hand.
Fabrix integrates with SharePoint, Teams, and OneDrive to deliver permission-aware retrieval. Users only access the documents and messages they are entitled to, reducing compliance risks.
This allows organizations to create internal knowledge assistants that scale across departments while maintaining security and access integrity.
OpenWebUI provides a space for teams to build cases collaboratively. Users can attach evidence from SharePoint, Teams, CRM, or ERP systems, while Fabrix enforces audit logging and access controls.
This turns conversational AI into a secure workspace for compliance-driven processes like investigations, audits, and legal reviews.
Unlike generic chatbots, Fabrix enables the creation of assistants with built-in policy enforcement. These assistants apply enterprise rules to every interaction, ensuring outputs comply with governance, security, and regulatory standards.
They are particularly valuable in regulated industries such as finance, healthcare, and the public sector.
Fabrix can support sales and delivery teams by creating workspace assistants linked to deals or projects. These workspaces aggregate documents, meeting transcripts, and evidence, making it easier to collaborate and prepare business cases.
Integration with CRM systems ensures that AI-powered insights are contextualized and policy-aware.
This diagram shows the contrast:
Generic chatbots answer questions but lack governance, policy, or compliance guarantees.
Fabrix use cases are structured, governed, and directly tied to enterprise processes.
AI Fabrix extends Microsoft 365 and Azure with enterprise-ready AI use cases that are secure, policy-aware, and directly tied to business outcomes.
By combining metadata-aware retrieval, governance enforcement, and collaborative workspaces, Fabrix moves AI adoption beyond pilots and into production-grade solutions.
Traditional platforms ask:
“Who is allowed to access this system?”
AI Fabrix asks:
“What does this data represent, and who does it belong to?”
Governance is enforced because of how the platform is built —not because someone remembered to configure it.
This is how AI becomes deployable in regulated environments.
AI Fabrix runs where your data already lives.
There is no shared SaaS layer.
No external control plane.
No black box.
This is a prerequisite for enterprise trust.
AI Fabrix enforces a clear contract between humans and systems.
AI Fabrix enforces a clear contract between humans and systems.
AI is not an add-on.
It is treated as a native actor in the platform.
Openness without control creates risk. Control without openness creates lock-in.
AI Fabrix deliberately separates the two.
Most platforms manage access.
AI Fabrix enables understanding.
That is the difference between controlling AI and being able to use it.
