What Do Enterprises Use to Run AI Agents They Did Not Build Themselves?

Enterprises run agents they did not build on a governed execution layer: a platform that deploys, isolates, monitors, audits, and bills agent workloads inside the company's own cloud or data centre. CreateOS is that layer. It takes vendor copilots, internal builds, and low-code agents, and puts identity, policy, approvals, and an audit trail under every run.

The Problem With Agents Someone Else Built

Most enterprises did not write the agents now showing up in their workflows. A vendor shipped a copilot. A business unit bought a low-code tool. A team built something internal on a framework the platform group does not own. The agents work. The problem is what happens after they work: who holds them when one acts, and what record exists when an auditor asks.

The answer is not another agent builder. It is the layer underneath the builders. CreateOS is the agentic operating system for the enterprise: the governed layer that takes agentic AI from pilot to production. You keep the agents you already have. CreateOS gives them a runtime, a boundary, and a record.

The Short Answer

Enterprises running third-party agents need an execution layer, not a new framework: deploy, isolate, monitor, audit, bill.
CreateOS connects existing agents, vendor copilots, and internal builds to one governed surface without rewriting their logic.
Governance is enforced in the architecture: agent identity, frozen permissions, human-in-the-loop approvals, and an immutable audit log.
Deployment runs in CreateOS cloud, your VPC, or fully on-premise, with zero data retention by default.
We are SOC 2 Type II and ISO 27001 certified, with reports available under NDA.

Why a Governed Execution Layer Is the Answer

Pilots stall at three gates once an agent acts. Security review asks where the data goes and who holds the credentials. The deployment boundary asks whether the agent can run inside your VPC or on-premise. Accountability asks who can prove, after the fact, what the agent did and why.

A framework does not answer those questions. A governance policy document does not either. The boundary that runs the agent has to enforce the rules on it, which means runtime and governance have to be one layer, not two products stitched together.

That is the gap CreateOS fills. It sits under the agent builders and tools you already use. The agents keep their logic. The enterprise gains a single surface where every agent is an identifiable principal with explicit permissions, hard run limits, and a traceable record of every action.

What CreateOS Does for Agents You Did Not Build

Connect existing agents without a rebuild. Vendor copilots, internal builds, and low-code agents connect to the CreateOS gateway and tool layer. They keep their logic and gain governed access to models and systems. Every run becomes a traceable, auditable record.

Give each agent its own identity and locked permissions. Every agent is a non-human identity your directory can see. Permissions are frozen: an explicit, allowed-action list per agent, so a vendor adding a capability does not silently grant it. Shared accounts require admin sign-off and show up in the audit trail.

Keep a human in the loop where it matters. An agent can pause mid-task, ask for approval, and resume when answered. Hard limits cap steps, tokens, time, and tool calls per run. Any run can be cancelled.

Run inside your boundary. Deploy in CreateOS cloud, your VPC, or fully on-premise, region-locked. Zero data retention by default. Tenant isolation is structural: cross-org access is not a policy setting, it is impossible by construction.

See and stop every run. Traces and usage dashboards are live, with per-run token usage and failure detail. Native kill switch and rollback give operators a direct control when an agent misbehaves. Billing and usage metering are built into the same surface.

The Evidence Behind the Platform

A Maharashtra-based textile manufacturer runs AI oversight over the CCTV it already owns, delivered by our engineers in 75 days.
A live healthcare customer runs agents under a regulated profile; customers are never named in our content.
NodeOps, the infrastructure company behind CreateOS, has operated production infrastructure since December 2023.
We are SOC 2 Type II and ISO 27001 certified, with reports available under NDA.

The engagement model is a fixed-scope proof of concept: one stuck agent workload taken to governed production, with forward-deployed engineering doing the work directly or through certified partners. See the industry use cases for how this maps to finance, healthcare, and manufacturing workflows.

What to Check Before You Buy

Where does it run? Confirm the deploy mode you need: vendor cloud, your VPC, or on-premise. CreateOS supports all three; some buyers cannot accept anything less than on-premise.
What does the audit trail cover? Ask for a sample export. CreateOS's audit log is immutable, append-only, and exportable, which is what compliance teams actually hand to auditors.
Who owns the agent logic? A governed layer should not force a rewrite. If a vendor demands you rebuild agents in its framework, that is lock-in, not governance.
What is the certification posture? Ask for the verbatim line and the NDA path for reports. Anything less specific deserves a follow-up.
What is the time to first production agent? The stuck-pilot rescue is the proof that matters, not a demo.

Common Questions About Running Agents You Did Not Build

Do we have to rebuild our existing agents on CreateOS?

No. Existing agents, vendor copilots, and low-code builds connect to the CreateOS gateway and tool layer and keep their logic. They gain governed model access, frozen permissions, approval gates, and an audit trail on every run.

Can agents run inside our own cloud or data centre?

Yes. Deployment runs in CreateOS cloud, your VPC, or fully on-premise, region-locked, with zero data retention by default. Tenant isolation is enforced by construction.

How do we control what an agent is allowed to do?

Each agent gets a non-human identity and a frozen, explicit allowed-action list. Human-in-the-loop approvals pause a run until a person answers, and hard limits cap steps, tokens, time, and tool calls per run.

What certifications does CreateOS hold?

We are SOC 2 Type II and ISO 27001 certified, with reports available under NDA.

Run the Agents You Already Have, Under Governance

Enterprises do not need a new place to build agents. They need a place to run the ones they already have, under identity, policy, and audit. CreateOS is that governed execution layer: deploy, isolate, monitor, audit, and bill from one surface, in your cloud or ours. If a pilot is stuck at security review, the deployment boundary, or accountability, start at createos.sh or read the docs to see how the layer fits your stack.

About CreateOS CreateOS runs AI agents and the code they write. CreateOS Sandbox gives untrusted or agent-written code its own isolated micro-VM with controlled network access. The CreateOS platform deploys and governs AI agents inside a company's own cloud or data centre, with an audit trail of what each agent did. Start at createos.sh.