Enterprise people & applications
Start with identity, roles, authorization, and the purpose of each AI workflow.
Architecture / Public design principles
Govern AI Without Replacing Your AI Stack.
An enterprise control plane is a way to reason about governance across AI, context, and execution. This public framework describes requirements and boundaries, without exposing proprietary implementation.
Conceptual framework
One view of the decisions that need control.
Enterprise
People & applications
Identity, roles, and business purpose
InfoDump / Governance layer
AI Governance
What AI may be used
Context Governance
What AI may know
Harness Governance
What AI may do
Approved destinations
Models, agents & systems
Access and actions within agreed boundaries
Across every layer
- Human approvals
- Tracing
- Evaluation
- Audit
- Deployment boundaries
A design framework for discussing requirements. This diagram does not represent a live system or a guarantee of feature availability.
Control surfaces
Make permissions and responsibilities explicit.
Models & agents
Agree which providers and models may be used, and which responsibilities an agent may take on.
Policy enforcement
Define privacy and usage expectations at the points where models, knowledge, and tools meet.
Retrieval & provenance
Set source permissions, retrieval boundaries, attribution, sensitive data handling, and retention requirements.
Tool gateway & human approval
A conceptual tool gateway represents the permissions around agent actions. Define allowed tools, execution scope, and approval gates.
Tracing, evaluation & audit
Define the evidence needed to review activity, assess outputs, and investigate decisions. Agree coverage and retention during architecture review.
Deployment boundaries
Design around your infrastructure and data ownership.
Private, on-prem, local, and hosted model strategies introduce different access and ownership decisions. Confirm supported integrations, deployment options, approval controls, and review coverage for your environment with the InfoDump team. The framework above is conceptual; it is not a feature release roadmap or a claim that every control is available.
Read our security and privacy principles →Start a conversation
AI Innovation Needs an Enterprise Control Plane.
For enterprise architects, platform and security leaders, and energy operations stakeholders: discuss the boundaries your AI needs before expanding adoption.
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