Visibility
Every agent the gateway sees
Agents, their tasks, what they reached and every decision, in one console.
Coming next: department and team views, and alerts to Slack, email or webhook.
Enterprise IT
Many AI projects. One control layer.
Departments are building agents on different frameworks and different models. Each project has its own keys, its own access and its own idea of what is allowed. IT is asked to govern all of it.
In one sentence: StartiQOS is a self-hosted AI agent governance layer that gives IT one view of every agent, one approval flow and one kill switch, whatever framework built it.
The Problem
Agents arrive before the controls do.
The gap is not intent. It is that agents spread faster than review processes.
01
No inventory of agents
Agents appear in departments before IT hears about them, often on a shared service credential.
02
Access is granted project by project
Each team scopes its own agents, if it scopes them at all.
03
Guidance is arriving faster than controls
OWASP ranks Excessive Agency among the top risks for LLM applications, and NIST’s Center for AI Standards and Innovation has asked industry how agent systems should be constrained, citing least privilege.
04
No way to stop everything at once
When something goes wrong, there is no single switch.
What You Get
One place to see, approve and stop.
The gateway sits in front of every agent’s model calls, whatever framework built it.
Control
Approval and a kill switch
Learned policies need a named approver. Calls outside the policy pause for a person. One switch stops every agent.
Evidence
A record that reports edits
A hash-chained ledger of every decision, verifiable in one call.
Need departments moved to AI-native work as well? Our Department Transformation and Enterprise Transformation services do that work. They are separate engagements from the product.
Fit
Is this the right time?
Early access works best where several teams already run agents.
A good fit if
- Several teams already run agents
- You want one control point across frameworks
- You can run a container in your own infrastructure
- You need a record of agent decisions for audit
Not a fit yet if
- You need SSO and several organisations in one console today (coming next)
- You need MCP or desktop-agent control today (coming soon)
Questions
What IT teams ask us.
No. Your identity system decides who a person or service is. StartiQOS decides what an agent may do on each call, inside the access your identity system already gives it.
Yes. It is a container you run yourself, with no inbound connection from us.
Any agent that calls an OpenAI-compatible model API, including n8n, LangGraph, CrewAI and Flowise.
Yes. Our Department and Enterprise Transformation services move teams to AI-native work with a stated autonomy ceiling. They are separate engagements from the product, and you can buy either without the other.
Put one control layer
in front of every agent.
Start with a two-week shadow-mode pilot on one department’s agents. Nothing is blocked while it learns.