AI Fabrix is an enterprise AI operating platform that makes AI governable, permission-aware, and production-ready by design.
Not a SaaS tool. Not an agent framework.
An AI operating model built for real enterprise constraints.
In-tenant · Identity-first · Audit-ready
Miso is the control plane of AI Fabrix.
Every request—human, API, or AI—passes through Miso, where identity is preserved, policies are evaluated, and execution is authorized before anything runs. Governance is enforced by architecture, not added later.
AI executes only through governed pipelines. CIP and MCP replace direct system access with controlled execution that enforces identity, permissions, metadata, and audit automatically. No service accounts. No hidden access. Every action is traceable.
AI receives data with identity and context intact.
The AI Dataplane delivers permission-aware data, business metadata, and audit lineage end-to-end—from source systems to AI execution. Every retrieval follows the same enterprise policies as users and APIs.
CIP is the AI-native integration layer of AI Fabrix.
It replaces custom code, service accounts, and fragile workflows with composable pipelines that run inside your Azure tenant. Integrations are secure, auditable, and production-ready by design.
AI moves to production when data, identity, and governance are built in from the start.
Same flow for humans, APIs, and AI agents.
AI Fabrix enables teams to build AI agents and applications on top of a governed data and integration foundation. Instead of stitching tools together, enterprises get a repeatable path from pilot to production—secure, compliant, and scalable inside their Azure tenant.
At runtime, AI Fabrix enforces identity, permissions, and policy on every data access and action. Through governed pipelines and MCP-controlled actions, AI agents securely read and write across enterprise systems—fully auditable, permission-aware, and consistent across environments.
AI Fabrix provides a governed path from change to production. Miso controls promotion across environments, enforcing identity, policy, and audit at every stage. Updates are applied consistently and safely—so AI systems scale globally without breaking security, compliance, or trust.
AI Fabrix is evaluated inside your Azure tenant, using real identity and real data.
AI Fabrix does not sell AI applications.
It enables enterprises to build and trust their own AI solutions.
AI Fabrix is built on a small number of structural pillars that make enterprise AI possible at scale.
Explore the latest in AI, customer support, automation, and business growth — straight from our experts.
Run secure, compliant, in-tenant intelligence that drives measurable impact across your organization. Built on four open standards — OpenAPI, CIP, MCP, and ABAC/RBAC — AI Fabrix ensures every AI agent runs on trusted, permission-aware data with no lock-in and full transparency.
We’ve gathered the most frequent questions about AI Fabrix — from setup to security. Explore the Q&A or start a free trial now.
AI Fabrix is an Azure-native, in-tenant enterprise AI platform that enables secure, governed AI adoption at scale.
It turns fragmented enterprise systems into permission-aware, AI-ready data using open standards—so AI agents, workflows, and applications can run safely in production, not just pilots.
AI Fabrix runs entirely inside your Azure tenant and uses standard Azure services for compute, storage, networking, and identity.
There is no shared SaaS component and no external service accounts. Infrastructure sizing depends on workload and scale, and follows a predictable, infrastructure-based model.
Yes. Security and governance are foundational to AI Fabrix. All data and AI operations run inside your Azure tenant, using Entra ID for identity, ABAC/RBAC for access control, and full audit logging for every data access and AI action. This enables compliance with enterprise and regulated-industry requirements.
Most customers start with a guided deployment inside their Azure tenant. This includes setting up governance with Miso, connecting core systems through CIP, and deploying an initial AI agent or use case. From there, teams expand incrementally using the same governed foundation.
Yes. AI Fabrix integrates with enterprise systems using OpenAPI and Composable Integration Pipelines (CIP).This approach avoids custom SDKs and service accounts, automatically enforcing identity-based access (ABAC/RBAC) and providing full metadata, lineage, and auditability across systems such as CRM, ERP, HR, Finance, SharePoint, and custom APIs.
AI Fabrix offers documentation, reference architectures, and enterprise support options.
Customers also receive guidance on governance setup, integration patterns, and production rollout to ensure AI moves safely from pilot to scale.
