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The agent
The system

Make OpenAI Assistants act in Jira — safely

OpenAI Assistants reason through your engineering and IT requests — Upware carries those decisions into Jira with full attribution, RBAC, and an audit trail your SOX auditors can actually read.

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

OpenAI Assistants stops at the Jira boundary

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.

Three ways to close it

Only one is governed

OpenAI Assistants alone
Acts in JiraNo
Governedn/a
Auditedn/a
Custom API glue
Acts in JiraSort of
GovernedYou build it
AuditedYou build it
OpenAI Assistants + Upware
Acts in JiraYes
GovernedPolicy + RBAC
AuditedEvery action
In practice

From on-call alert to resolved ticket

An on-call engineer asks your ChatGPT Enterprise assistant to open a P1 incident ticket, link it to the affected service, and page the owning team. The assistant decides what needs to happen — but it's Upware that executes: creating the Jira issue with the right priority and labels, transitioning it to 'In Progress', adding the engineer's comment with full attribution, and logging every field write to the audit trail. No API credentials sit inside the assistant. Every action is governed by the same RBAC policies your IT team already manages. When the incident closes, Upware syncs the final status back — and the record is complete, traceable, and ready for any post-incident or change-management review.

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

Our Jira instance is behind our firewall with no public API exposure — can Upware still reach it?
Yes. Upware runs an on-prem bridge that makes outbound-only connections from inside your network, so your Jira instance never needs an inbound hole opened. The assistant's tool calls travel through Upware's governed execution layer and reach Jira through the bridge, with every action logged centrally. No API credentials are held by the assistant itself.
How does Upware handle Jira writes that fall under SOX change-management requirements?
Every action Upware takes in Jira is attributed to a specific user identity, not a generic service account — the audit trail records who initiated the request, which policy governed the action, and the exact field values written. That attribution is captured before the write happens, so your change records are complete by construction. For teams subject to SOX or ITGC requirements, this removes the 'black box' concern that comes with agents writing directly to systems of record.
OpenAI Assistants already support function calling — why do we need Upware on top of that?
Function calling lets an assistant decide what to do; Upware governs how that decision executes. Without a layer like Upware, the function implementations need to be built, secured, and maintained by your team — and they typically run without RBAC, policy enforcement, or a structured audit trail. Upware learns the Jira workflows once, wraps them as governed AI skills, and gives you controls — role-based access, verification, logging — that the assistant platform itself doesn't provide.

Connect OpenAI Assistants to Jira

See a governed action go from recorded workflow to live in days.

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