AI Fabrix makes enterprise reality trusted, understandable, executable,
and continuously learnable by AI.
The Enterprise Context Model (COM) transforms enterprise metadata, governance, relationships, and capabilities into an AI-operable business model. Enterprise meaning is compiled before AI interaction occurs.
COM compiles from Resource Types, Capability Definitions, Dimensions, Relationships, Governance, and Trust Metadata. No manual setup.
AI operates on business concepts rather than system-level technical identifiers. Your AI understands your business, not your software stack.
Every COM artifact inherits RBAC permissions, ABAC filtering, dimension constraints, audit requirements, and trust validation automatically.
Enterprise MCP exposes business capabilities rather than raw system APIs, making AI interaction meaningful, governed, and aligned with how your business operates. It becomes the primary AI interface to enterprise business capabilities, requiring no custom assistant development, manual orchestration, or knowledge graph project.
AI Fabrix combines trust, business understanding, role-based execution, and evidence into a single operating foundation for enterprise AI.
AI Fabrix extends Entra ID, RBAC, policy controls, SCIM, audit logs, and key vault protections to every AI interaction — so access is secure, actions are governed, and accountability is built in.
AI Fabrix connects enterprise data, metadata, relationships, and policies into a shared business context — enabling AI to retrieve the right information, understand intent, and deliver relevant responses.
AI Fabrix automatically creates role-based assistants that operate with enterprise context, follow governance policies, and improve through evidence generated from completed work.
AI Fabrix captures outcomes, measurements, corrections, and context from completed work, creating verifiable evidence that improves future decisions, compliance, and operational performance.
Connect your systems.
Discover opportunities.
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Learn continuously.
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.
