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Make OpenAI Assistants act across your systems

OpenAI Assistants is great at reasoning and tool use for custom enterprise assistants and ChatGPT Enterprise. OpenAI's assistants call the tools you build them, but governing those tools across enterprise systems — RBAC, policy, audit, legacy reach — is the layer Upware provides. Upware is the harness that closes that gap.

Governed by policy & RBAC Full audit trail Outbound-only on-prem bridge No rip-and-replace
The wall

OpenAI Assistants can decide. It can't safely do.

OpenAI Assistants are genuinely good at reasoning through what needs to happen: picking the right tool, sequencing steps, handling ambiguity in a request. The gap is what comes next. The moment an assistant reaches across into an ERP, a claims system, or a legacy portal it doesn't own, you need RBAC to say who is allowed to act, an audit trail that attributes every write, and a policy layer that can stop a runaway action before it lands. Bolting raw API calls directly onto an assistant doesn't solve that — it just multiplies the exposure: brittle point-to-point integrations, zero governance, and no clear answer when something goes wrong.

Brittle integration glue
Every system gets its own hand-built connector that breaks on the next change.
No governance
API keys and service accounts hand the agent more power than policy allows.
Unattributable actions
Writes land with no actor, no reason, and no audit trail.
Unbounded action
An open-ended agent acting directly — with no policy or verification around it — can take a wrong, irreversible action.
The harness

AI to learn. Deterministic to execute.

Upware learns the process once and encodes it as a mostly-deterministic workflow: system interactions replay exactly, and any LLM steps are wrapped in policy, verification, and audit — so execution stays governed and drift-proof.

O
Observe & Learn
Records the real workflow once, across every system it touches.
G
Generate
Builds the API, data flow, and logic automatically — no integration project.
E
Encapsulate
Wraps it as a governed AI skill over secure MCP or API.
R
Run
Executes deterministically — RBAC, audit, and scale built in.
FAQ

Common questions

Does Upware replace our OpenAI Assistants setup?
No. OpenAI Assistants handles the reasoning layer — understanding intent, choosing actions, managing conversation context. Upware sits beneath that as governed execution infrastructure: it wraps your enterprise systems as policy-controlled AI skills and handles the actual cross-system actions. The assistant decides; Upware executes safely. They are complementary by design.
How does an OpenAI Assistant actually call actions through Upware?
Upware exposes your enterprise processes as skills over MCP or a standard API, so your assistant sees them as regular tool definitions. When the assistant selects a tool, Upware intercepts that call, enforces RBAC and policy checks, then replays the action deterministically against the target system — including systems with no API of their own. The assistant never touches the underlying system directly, and every action lands in a full audit trail.
What prevents the assistant from taking an action it shouldn't?
That's exactly what Upware's governance layer is for. Before any action executes, Upware applies role-based access controls and policy rules specific to that skill and that user context. If the request falls outside permitted bounds — wrong role, out-of-policy parameters, a system that's off-limits — Upware blocks it and logs the attempt. At runtime, Upware reduces unconstrained LLM reach by replaying captured, deterministic actions rather than letting a model generate free-form system calls.

Give OpenAI Assistants a safe way to act

See how Upware turns your agent's decisions into governed, audited execution.

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