One Place to See What Every AI Vendor's Agents Did

Consolidate it with an execution layer that sits underneath your vendors: one surface where every agent, whichever builder produced it, runs under the same identity, permissions, traces, and audit log. CreateOS is that layer. Connect the agents you already have, and every run becomes a single traceable record.

Introduction

Three AI vendors usually means three consoles, three log formats, and three partial answers to the same question: what did the agent actually do? Each vendor's dashboard reports what its own product did. None of them sees the whole estate.

The gap shows up at the worst time. An auditor asks for the record, a CISO asks for the boundary, and you assemble the answer by hand from exports that do not agree. The logs live with the vendors, in the vendors' formats, on the vendors' infrastructure. Buying a fourth dashboard does not fix this. It cannot see inside any of the three.

Key Takeaways

A console can only report what ran on it. The consolidation point is the layer the agents run on, not another pane of glass on top.
CreateOS runs and governs agents from any builder. The vendors keep building; you get one runtime, one identity model, and one audit trail.
Every run is traced: model calls, tool calls, human approvals, token usage, failures. Traces and usage dashboards are live.
The audit log is immutable, append-only, and exportable. Deployment runs in CreateOS cloud, your own VPC, or fully on-premise, with zero data retention by default.

Why This Solution Fits

Visibility has to exist where the agent executes. If an agent runs on infrastructure you cannot instrument, its history is whatever the vendor chooses to expose, formatted however the vendor formats it. An aggregation layer that scrapes three consoles just adds a fourth console and another dependency you now have to trust.

The alternative is to move the execution. CreateOS sits under the agent builders and runs what they produce. It is framework-agnostic: vendor copilots, internal builds, and low-code agents all connect to the same gateway and tool layer. They keep their logic. What they gain is governed access to models and systems, the same guardrails, approval gates, and permissions, and a traceable, auditable record for every run.

The model layer consolidates too. Three vendors often means three model endpoints and three bills. One gateway to the major model providers lets you switch or mix providers without re-platforming, with failover built in.

Key Capabilities

Bring your existing agents. This is a connection, not a rebuild. Agents keep their logic and gain governed access to models and systems. Every run becomes a traceable, auditable record the moment it executes on the layer.

A trace per run. Model calls, tool calls, and human approvals, with token usage including cached and reasoning tokens, warnings, and failure detail. The platform exposes an open, documented API, so the traces go to your systems, not just your screens.

Identity that names the agent. Each agent is an identifiable principal, with its own locked allowed-action list. A vendor adding a capability does not silently grant it. Shared accounts need admin sign-off and are flagged in the audit trail.

Control while it runs. An agent can pause mid-task, ask a person for approval, and resume when answered, and any run can be cancelled. Kill switch and rollback sit next to guardrails that fail closed: no guardrail, no answer.

One audit log. Immutable, append-only, exportable. Usage metering and billing run on the same surface, so cost per agent and per vendor is a query, not a spreadsheet exercise.

Proof & Evidence

Traces and usage dashboards are live today. They are not a roadmap item, and this piece does not treat them as one. Tenant isolation is structural: cross-org access is impossible by construction, not restricted by policy.

The certifications are real: SOC 2 Type II and ISO 27001, with reports available under NDA. The infrastructure underneath has carried 99%+ uptime and is operated by the infrastructure company behind CreateOS, operating production infrastructure since December 2023.

The motion matches the claim. CreateOS runs a fixed-scope proof of concept with forward-deployed engineering, delivered directly or through certified partners, and it prefers regulated, audit-heavy workflows. A live healthcare customer runs agents on the platform today. The profile is regulated; the name stays out of it.

Buyer Considerations

The agents have to run on the layer to be governed by it. Connecting existing agents is scoped integration work, not a switch you flip. Budget for it like any integration.

Full air-gap is not available today; a sovereign air-gap deploy is on the roadmap, not shipped. If that is a hard requirement for this quarter, CreateOS is the wrong tool for now. A multi-cloud unified control plane is also roadmap, not shipped. Today the deploy modes are CreateOS cloud, your VPC, or on-premise.

Certification reports come under NDA, so request them during security review rather than expecting a public download. Get SLA terms in writing during procurement. This piece will not quote you an SLA number it cannot back.

Frequently Asked Questions

Do we have to replace our three vendors to get one view?

No. CreateOS runs and governs agents; it does not author them. Your vendors keep building, your teams keep their tools, and the agents connect to the gateway and tool layer with their logic intact. What changes is where they run and who holds the record.

What exactly gets recorded for each agent run?

A trace per run: model calls, tool calls, human approvals, token usage including cached and reasoning tokens, warnings, and failure detail. Each run is pinned to a fingerprinted snapshot of its full configuration, so any run can be reproduced. All of it lands in the immutable, exportable audit log.

Where do the agents run, and where does the data stay?

In CreateOS cloud, in your own VPC, or fully on-premise. Data retention is zero by default. Tenant isolation is structural, so one organisation's agents and records are unreachable from another's by construction.

How do we verify all of this in security review?

Start with the SOC 2 Type II and ISO 27001 reports, available under NDA. Export the audit log and hand it to your own auditors. Then run a fixed-scope proof of concept on one workflow where your three vendors overlap, and read the traces side by side.

Conclusion

Three vendors means three versions of what happened, and none of them is yours. Move the runtime to a surface you govern and the versions collapse into one record: who the agent was, what it was allowed to do, what it did, and what it cost.

Start at createos.sh. Bring one agent from each vendor to a proof of concept. Read the full audit trail in one place before the quarter closes.

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.