Agents are replaceable.
Authority is not.
The control plane for governed agent operations.
We sit between your AI agents and your business systems, enforcing policy, routing approval flows and creating an audit trail.
The gap between what AI can suggest
and what companies will allow.
Reasoning
An agent interprets context and proposes action.
Boundary Layer
Civex evaluates the action request through the Policy Layer.
Execution
Only approved actions reach systems through the Execution Gateway.
The control plane,
not the prompt.
Every agent action flows through the same deterministic path, from proposal to policy evaluation to controlled execution.
Three possible outcomes
Action executes immediately through the controlled gateway.
Action is blocked and returned with structured violation feedback.
Action is routed through an approval flow before execution.
Built for teams that can't afford
to trust AI blindly.
If your workflows involve security, approvals, compliance or sensitive execution, Civex is built for you.
Security and risk teams
Teams that need hard boundaries, approval gates and auditability before AI can trigger sensitive actions.
Privileged and operational controls
Workflows with elevated access, policy thresholds or write access into production systems.
Compliance and governance owners
Organizations that need audit trails, policy history and audit evidence for AI-driven operations.
High-trust operators
Teams adopting AI across internal tooling, privileged workflows or regulated operations without giving away control.
Preferred or connected agents.
Same Boundary Layer.
Two paths to governed AI workflows. One persistent Civex Boundary Layer.
Start with preferred agent packages
Use preferred agent packages already connected to Civex. We handle setup while your team defines policy, approvals and rollout boundaries.
Connect an existing agent
Connect a client-owned or third-party agent through native structured mode. Keep the same policy, control and audit trail across runtimes.
Swap the agent.
Keep the control.
Model provider, agent runtime, planner pattern and memory strategy, all replaceable. Workflow definition, policy rules, approval flows and audit evidence, persistent.
One sensitive action.
Full control.
Operator requests a sensitive action
A high-trust workflow enters the system.
Agent sends an action request
The agent interprets context and drafts the canonical action contract.
Policy Layer evaluates request
ESCALATEPolicy Engine checks risk, scope and approval requirements. This example crosses the escalation threshold.
Low risk, execute automatically now
Policy violation, block with feedback
Threshold crossed, route to approval
Approval Service routes review
The request appears in the Approval Service for review.
Approved → Execution Gateway → system API
Controlled credentials execute the action. No broad agent access.
Full audit trail created
Every attempt, decision and outcome logged and reviewable.
Every action. Logged.
Every decision. Reviewable.
Every boundary. Enforced.
Civex Decision Record
civex_dcl_8f3a2b1c
request
policy evaluation
approval
execution
Governed AI agents
for sensitive workflows.
We're working with design partners to shape the platform. If you run approval-heavy, security-sensitive or compliance-sensitive operations, let's talk.