AI Fabrix keeps business context, identity, permissions, authority, governed operations and Evidence within one customer-controlled architecture—entirely inside your organisation's own Azure tenant.
Every action runs on behalf of an identified person and remains within that person's existing organisational authority and access.
AI Fabrix does not replace the organisation's existing identity, permissions, approvals or system controls. It preserves them when AI participates and executes only approved capabilities under verified human authority.
Prompts, models and retrieved content cannot create new authority.
Each view answers one architecture question in plain language. Start with how enterprise meaning is defined, then follow how work is decided, authorised, performed and proven.
How connected systems become explicit, reusable business meaning for AI-assisted work.
How each governed continuation is evaluated, executed, completed or stopped safely.
How verified human authority and existing enterprise controls remain in force.
How AI Fabrix operates entirely within the customer's own Azure tenant.
How governed data contracts connect existing authoritative enterprise systems.
How results, Evidence and technical logs remain distinct and inspectable.
How models and interfaces can change through explicit contract boundaries.
Customers can build any application, interface, model or business logic around AI Fabrix. Where AI reaches enterprise information or operations, it can request only approved capabilities on behalf of an identified person.
Approved connected-system definitions specify the only enterprise information and operations available to AI.
The runtime evaluates the active person, case and current business context, then selects one permitted next step — or stops safely.
Operational Trust, the authority-control layer, checks identity, permissions, scope and approvals before an operation reaches the connected system. Raw APIs and credentials stay behind the boundary.
Relevant requests, authority decisions, completed steps and actual outcomes remain available for audit.
AI Fabrix uses the identity, access, approval and business controls the organisation already operates. The receiving enterprise system continues to enforce its own permissions and remains authoritative for the result.
Verified identity and active role
Applicable business context
Runtime decision
Capability verification
Governed execution
Validated result
Determines the next permitted continuation for the active person and case.
Accepts, rejects and records the business transaction under its normal controls.
Every edition runs in the customer's Azure tenant. Network controls for regulated environments must be selected, configured and verified by the customer.
Marketplace deployment → tenant activation → readiness verification. Administration differs by edition: Community and Standard use the deployment controller; Enterprise also gives the customer direct control of the deployed Azure resources.
PostgreSQL, Storage and Key Vault remain behind the governed platform boundary, and infrastructure secrets are generated into Key Vault. Enterprise customers can apply customer-managed Azure networking. Private ingress, egress, DNS and connections to AI services and enterprise systems remain explicit architecture choices.
Runs entirely inside the customer's own Azure tenant
Marketplace deployment is activated and verified before operational use
Infrastructure secrets are generated and stored in Azure Key Vault
Public and private network profiles are selected explicitly
Private profiles do not silently fall back to public access
AI receives no independent identity, authority, credentials or access
Enterprise applications remain the systems of record
Relevant payloads, decisions and outcomes remain inspectable for audit
Results, Evidence and technical logs are kept separate so each can be inspected for what it actually proves.
The validated result of a specific run, including a rejection, failure, safe stop or incomplete outcome — not only successful work.
Business-significant facts, controls, human decisions and outcomes that have passed the required validation before they can be reused.
Technical activity and relevant inbound and outbound payloads retained for security, traceability and operations.
Models and interfaces can change. Human authority and enterprise control remain.
Build without restriction. Execute through verified human authority.
