AI governance
AI governance that gives agents freedom and keeps you in control
AI in production requires governance in every workflow. We provide one control plane for every model, agent and action across your AI Gateway and Software Factory.
Trusted by teams operating AI in production
3x
Faster to meet compliance standards
100%
Visibility and auditability across every agent and model
10 -
40%
Lower LLM costs
the problem
AI is no longer just generating answers. It is taking action.
We sit on the critical path and see all AI traffic and intervene in real time. Other governance tools hook up data after the fact and show what happened - when it’s too late.
Agents access internal systems
Connect agents to internal tools and data while enforcing permissions at every request.
Agents operate continuously
Keep agents running safely with real-time controls, monitoring, and human oversight.
Agents make decisions
Let agents act on context within the limits and rules you define.
Agents modify code and deploy software
Let agents edit code and ship changes, with approval gates at every step.
Track and cap resource and token usage to keep costs predictable.
Agents call tools and APIs
Connect agents to external tools and APIs with scoped, per-call permissions.
The more autonomy organizations give AI agents, the more important it becomes to control what they can do, where they can go and when humans must intervene.
Governance in the Execution Layer
Runtime AI governance in the execution path
Orq.ai controls AI while it operates. Policies, permissions, evaluations, budgets and approval gates are applied directly within the execution path.
Build, test & deploy
One control plane. Two paths to production AI.
AI gateway
Control every AI request.
Control LLM and MCP traffic across models, tools and apps. Enforce policies, protect data and track performance.
software factory
Turn your backlog into shipped software.
AI agents plan, build and test software in your environment. Humans stay in control of critical decisions and approvals.
human in control
Human-in-the-loop approvals for AI agents
Software agents can do more work. Humans should still decide when judgment matters. Orq.ai lets organizations define exactly where agents can act autonomously and where human approval is required.
Control Model
AI agent governance: control every dimension of execution
Coding agents
Coding agent governance: who controls the agents?
Coding agents dramatically increase engineering capacity. Deploying them across teams also creates a new operating challenge:
Who controls the agents?
Orq.ai gives engineering, platform and security teams visibility and control over:
Which agents are approved
Which models they use
What repositories they access
What tools they invoke
How much they spend
What actions require approval
What code reaches production
Platform
One governed runtime for enterprise AI.
AI Gateway
Model access
Routing
Security
Policies
Budgets
Observability & Evaluation
Traces & logs
Latency & cost tracking
Automated evaluations
Human review
Trace automations
Software Factory
Orchestration
Agents
Human approvals
Execution
Software delivery
Who it’s for
One platform. Different controls.
Engineering & Platform
Give agents more autonomy, with standardized operations.
Finance
Control what AI consumes.
Security
Control what agents can access.
Leadership
Know what AI is actually delivering.
Enterprise Capabilities
Built for enterprise AI.
EU sovereign
Fully governed
Model independent
Enterprise security
Complete observability
FAQs
What enterprise teams ask us about AI governance
What does AI governance mean in practice?
Knowing which agents are running, what they can access, what they cost, and having a complete record of every decision — enforced on every request, not reported after the fact.
How is Orq.ai different from other governance tools?
Most tools sit outside your AI traffic and analyze data after the fact. Orq sits on the critical path, so policies are enforced before requests reach a model.
What is red teaming for AI agents?
Systematically attacking your own agents to find where they break. Orq’s workbench tests prompt injection, jailbreaking, secrets exfiltration, and system prompt leakage.
What is a compliance registry?
A centrally managed list of approved agents, models, prompts, and MCPs. Teams work from the approved list; anything outside it is blocked by default.
Can I set different policies for different teams?
Yes — at organization, department, team, project, and agent level. Set once, enforced automatically.
Does Orq.ai enable EU AI Act compliance?
Yes. Orq.ai provides capabilities for EU AI Act, GDPR, ISO 27001, and SOC 2 Type II readiness, including governance, auditability, and policy controls.
Can I deploy Orq.ai on my own infrastructure?
Yes — SaaS, VPC/customer cloud, or fully air-gapped on your own servers.
The autonomous enterprise needs a control plane.
AI agents will write code, operate systems and increasingly execute work across the enterprise. We provide the control and execution infrastructure organizations need to give those agents more autonomy while remaining in control.