A structured operating model to connect systems, enforce identity and policy, and promote AI safely into production — inside your Azure tenant.
• Custom integration code
• Service accounts
• App-level permission logic
• Point-to-point pipelines
• In-tenant execution
• Automatic RBAC / ABAC enforcement
• Metadata normalization and lineage
• Open contracts via OpenAPI + MCP
Model data by business meaning, not system rules. Access becomes a property of structure—if it doesn’t belong to you, it doesn’t appear.
Governance is enforced by architecture across ingestion, retrieval, APIs, agents, and UI—without duplicated logic or AI exceptions.
Runs inside your Azure tenant—identity, network, keys, and data stay under your control. No shared SaaS layer, no external control plane.
Business defines intent and dimensions. The platform enforces visibility, policy, and audit. Developers implement integrations and AI behavior—without re-building governance.
The same rules apply to humans, APIs, and agents. AI only sees governed, pre-filtered context—so risk doesn’t scale with usage.
Open standards and portable architecture, with controlled execution through a governed platform layer. Avoid lock-in without losing security and oversight.
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.
