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Enterprise AI & Agent Governance

Let intelligence move.
Keep authority explicit.

Bring the models and agents your enterprise already uses into a consistent approach to identity, policy, routing, action control and AI economics.

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Across environments

01 / The opportunity

More models should not mean less control.

Enterprise teams work across internal and external models. Governance needs to follow those interactions, connect actions to authority and make routing and consumption visible.

Establish authority

Set identity and access policies for participating models and agents.

Direct the workload

Shape routing and authorized actions around enterprise policy.

Understand consumption

Bring model and agent cost into the operating conversation.

02 / How it connects

Governance across the operating environment.

Connectivity across environmentsAI FactoryAI FactoryAI GridAI GridEdgeEdgePhysical AIPhysical AIConnectivity, governance and operations across the systemConnectivity across environmentsAI FactoryAI FactoryAI GridAI GridEdgeEdgePhysical AIPhysical AIConnected infrastructure. Governed operations.

This solution can work with an enterprise’s existing AI environment. It does not require an Invences infrastructure deployment; infrastructure governance can be added where appropriate.

Relevant platforms

gFabric ↗

Provide the identity, policy, registry, routing, action-governance and economics layer.

Platform integrations and operating responsibilities are agreed for each engagement.

03 / What we deliver

Start with the models already in use.

Map the model and agent environment, define governance policies, integrate the relevant workflows and establish operational visibility. Scope connections to existing enterprise systems around the intended use cases.

Explore engineering & operations ↗

Start with your environment.

Talk to our team