AI CONTROL PLANE & ENTERPRISE AI GATEWAY
AgenixCore
The governed layer for private, efficient enterprise AI
AgenixCore sits between your people and every model, tool, and data source, governing access, routing requests, controlling cost, and capturing every interaction.
Policy-first by design
Secure. Compliant. Governed.
Cost-efficient by default
Optimize spend and reduce waste.
Built for scale
Enterprise-grade reliability.
Employees
Applications
AI Agents
APIs & Services
Access Governance
Verify identity and enforce least privilege
Model Routing
Select the right model and path every time
Secure Context
Assemble safe context from trusted sources
Cost Controls
Prevent waste and optimize every request
Audit Logs
Capture, store, and make auditable
Access Governance
Verify identity and enforce least privilege
Model Routing
Select the right model and path every time
Secure Context
Assemble safe context from trusted sources
Cost Controls
Prevent waste and optimize every request
Audit Logs
Capture, store, and make auditable
CONTROL PLANE FOUNDATION
Employees
Applications
AI Agents
APIs & Services
Access Governance
Verify identity and enforce least privilege
Model Routing
Select the right model and path every time
Secure Context
Assemble safe context from trusted sources
Cost Controls
Prevent waste and optimize every request
Audit Logs
Capture, store, and make auditable
Access Governance
Verify identity and enforce least privilege
Model Routing
Select the right model and path every time
Secure Context
Assemble safe context from trusted sources
Cost Controls
Prevent waste and optimize every request
Audit Logs
Capture, store, and make auditable
CONTROL PLANE FOUNDATION
Start by mapping where AI usage creates value, waste, and risk.
The AgenixCore methodology helps discover, assess, and optimize AI usage across your enterprise continuously.
Audit
Discover current usage, flows, and risks.
Map where AI is used across people, apps, agents, data, and model paths.
Deploy
Apply policy, routing, and guardrails.
Introduce the control layer around the highest-value, highest-risk paths first.
Operate
Continuously optimize cost, control, and adoption.
Keep usage observable while teams expand AI workflows inside clear rules.
Executive control model
AgenixCore turns scattered AI adoption into an operating system.
The homepage now leads with the business control plane: who is using AI, what policy is applied, where requests route, and what leadership can review.
Who is using AI, from which workflow, and for what business purpose?
Which requests should be approved, blocked, routed, limited, or reviewed?
Which model, context source, or data path is appropriate for the task?
What must be visible to finance, security, operations, and leadership?
Governance layers
Control is applied before AI requests reach sensitive destinations.
The topology is intentionally simple for executives and still precise enough for technical teams: users, apps, and agents enter one governed layer before models, search, private systems, or enterprise data are touched.
Identity and role controls
Policy and authorization
Model and tool routing
Spend and usage limits
Approved context access
Audit and operational visibility
Audit > Deploy > Operate
Build a governed AI operating layer before adoption spreads further.
Start with the AI Operating Efficiency Audit, then deploy AgenixCore around the workflows where cost, risk, and operational visibility matter most.