CreateOS Studio - Build, govern, and audit enterprise AI agents

CreateOS Studio is the layer that sits between your enterprise and the AI agents running inside it.

Most enterprises already own agents: vendor copilots, internal builds, low-code experiments. What is missing is the layer that checks every action before it reaches your ERP or CRM, and proves afterwards what the agent did, on whose authority, and with which data.

Studio is that layer. It covers five steps: Define, Ground, Act, Govern and Operate.

DEFINE: agents specified like products, not prompts

• Named ownership. Every agent has an owner, a goal and written instructions, and moves through a lifecycle from Draft to Active to Paused to Archived with rules on who can promote it.
• Output contracts. Agents are held to the structure your downstream systems expect. Malformed output is flagged, not passed through.
• Reusable skills. Your playbooks, style guides and SOPs become skills that any approved agent can attach.
• Reproducible runs. Every run is pinned to a snapshot of its model, knowledge, skills, tools and limits. Ask what an agent was running on a given day and get an exact answer.

GROUND: context your agents can cite

• Ingestion built in. Upload PDFs, Word documents and policies. Scanned files are read with OCR. Parsing, chunking, embedding and indexing run automatically, so there is no separate data engineering project.
• Two shapes of knowledge. Vector search finds meaning. Graph search follows relationships, so agents understand how your entities connect.
• Answers with receipts. Retrieved knowledge keeps its link back to the source document and page, so every output can cite where a fact came from.
• Memory and permissions. Agents carry memory across runs, scoped per organization and per agent. Attaching knowledge to an agent is permission checked and audited.

ACT: real actions in real systems

• Enterprise integrations. Agents connect to the tools you already run, including Notion, Slack, Salesforce and SAP SuccessFactors.
• Frozen permissions. Each agent gets an explicit, locked list of allowed actions. If a tool vendor adds a capability tomorrow, your agent does not silently gain it.
• Identity you choose. An agent can act as the individual user, or through a shared account that requires admin sign-off and is flagged in the audit log.
• Human in the loop. Agents pause mid-task, ask a person to approve or supply input, and resume when answered.
• Hard limits. Per-run caps on steps, tokens, time and tool calls. Revoking access revokes it at the provider, not just in our interface.

GOVERN: controls in the architecture, not in a policy document

• Identity for people and agents. SSO, SAML, Google and OTP sign-in for people. Every agent is a separate identifiable principal.
• Access at object level. Role-based access for teams, plus share lists on each agent, knowledge base and skill.
• Model policy. Allowlists and autonomy tiers control which models an agent may use and how much agency it has.
• Guardrails that fail closed. Runtime guardrails with circuit breakers, including Amazon Bedrock Guardrails and Google Model Armor. An agent without a working guardrail returns no answer.
• Secrets stay yours. An encrypted vault, or your own, including AWS, HashiCorp, Azure and GCP.
• Audit and isolation. The audit log is append-only and exportable. Tenant isolation is structural, not a setting.

OPERATE: run it, watch it, deploy it anywhere

• One gateway, every model. A single managed gateway fronts every provider, including Amazon Bedrock. Switch or mix providers without re-platforming.
• Sandboxed execution. Every run executes inside its own Firecracker micro-VM with its own kernel. Network access is outbound-only against a kernel-enforced allowlist, with no ingress by default.
• Full observability. Per-run token usage, warnings and failure detail for every run.
• Deploy on your terms. Containerized and Kubernetes-ready, with a documented API for everything. Run in CreateOS cloud, inside your VPC, or fully on-premise and region-locked.

KEEP THE AGENTS YOU ALREADY HAVE

• Connect. Existing agents plug into the Studio gateway and tool layer and keep their own logic.
• Govern. The same approval gates, permissions and audit log apply to every action they take.
• Prove. Every run they make becomes a traceable record.

WHERE TEAMS USE IT

• Manufacturing. Proposed writes are validated against live system state and approval rules before anything reaches the ERP.
• Banking and financial services. Every case carries a full trace of cited sources, guardrail checks, approver and disposition.
• Legal. Every fact is pinned to its source document and page, with the lawyer as the decision authority.
• Marketing. Every outbound action sits behind a named human gate.
• Healthcare. Administrative load drops while the clinician signs off on every decision.