From Assessment To Controls
Turn AI leakage findings into enforceable governance controls.
The AI Control Plane helps teams move from assessment findings to governed AI use: approved tools, policy checks, request routing, approval workflows, and a practical governance evidence trail across the AI tools your staff already use.
Inside controller.intelxview.com
See a request arrive, get policy-checked, route across providers, and land on the governance evidence trail at controller.intelxview.com.
Everything You Need to Govern AI at Scale
Six integrated capabilities that cover the full governance lifecycle — from policy authoring to a practical governance evidence trail.
Policy Engine
OPA-backed policy definitions with PII denial, regional restrictions, and model-tier access controls. Enforce governance at the request level.
Model Gateway
Multi-provider routing across OpenAI, Anthropic, and Ollama. Route by cost, quality, or latency — with automatic fallback and load balancing.
Council Mode
Multi-model deliberation for high-sensitivity requests. Route to a panel of models, aggregate responses, and surface structured decisions with full trace.
Governance Evidence Trail
Request logs, policy outcomes, approvals, and routing decisions preserved so governance owners can reconstruct what happened and why — and connect the controls back to assessment findings.
Approval Workflows
Human-in-the-loop for role escalations and policy changes. Reviewers approve, reject, or defer via a structured queue with notification hooks.
MCP Server
Integrate governance directly into Claude Code, Cursor, ChatGPT, and OpenAI Codex. One MCP endpoint — every AI tool governed by your policies.
Works Where Your Team Works
Connect via the MCP Server and your existing AI tooling inherits your governance policies automatically.
Choose Your Plan
Start free. Scale when you're ready.
Ready to Govern Your AI?
Every organisation running AI without a control plane is operating on assumption. Replace assumption with evidence. Start your free trial today.