01 / What AI may be used
AI Governance
Establish approved model and provider choices, usage policies, privacy expectations, and accountable review.
Model access · Usage policy · Privacy · Auditability
Explore AI Governance →INFODUMP / ENTERPRISE AI GOVERNANCE
Enterprise AI,
Under Control.
AI models are evolving. Agents are multiplying. Enterprise context is expanding. InfoDump helps organizations establish governance across models, enterprise knowledge, and agent execution, so AI adoption remains controlled, observable, and accountable.
Control your AI. Govern your context. Secure your execution.
AI / Context / Harness
01 / The governance gap
AI Is Moving Faster Than Enterprise Governance.
Teams are choosing models, connecting knowledge, and giving agents tools. Governance needs to keep pace with those decisions across the organization.
- Model usage spreads beyond approved policies.
- Sensitive context reaches workflows without clear source permissions.
- Tool access grows without agreed execution boundaries.
- Approval gaps and fragmented oversight make accountability harder.
02 / The platform
One Governance Layer. Three Dimensions of Control.
02 / What AI may know
Context Governance
Define which enterprise knowledge AI may retrieve, who may access it, and how sensitive context and ownership are handled.
Source permissions · Retrieval boundaries · Provenance · Retention
Explore Context Governance →03 / What AI may do
Harness Governance
A harness is the runtime and controls around an agent. Define tool permissions, execution boundaries, and when people must review its work.
Tool access · Approval gates · Execution policy · Oversight
Explore Harness Governance →
Featured industry / Energy03 / Energy & Oil and Gas
Built for the Complexity of Energy.
From upstream engineering and midstream operations to downstream, oilfield services, and energy trading, AI depends on sensitive knowledge and complex authorization.
Start with governance around who may access context, which models may use it, and what actions require review. Explore controlled enterprise retrieval, engineering knowledge search, and trading decision support.
Advisory IT workflows remain distinct from OT and safety-critical industrial control.
Explore Energy Solutions →Governance across industries
Different contexts. Clear boundaries.
04 / Architecture
Govern AI Without Replacing Your AI Stack.
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.
05 / Deployment principles
Your Infrastructure. Your Models. Your Control.
Model choice, private and on-prem options, data ownership, source access, and auditability belong in the same governance conversation. Discuss deployment requirements and confirm available capabilities for your environment.
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.
Discuss Your AI Architecture →