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The agent
The system

Make Zendesk AI act in Jira — safely

Zendesk AI closes the ticket in the conversation; Upware carries the real work into Jira — creating issues, updating status, and leaving a full attribution trail that change management actually requires.

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

Zendesk AI stops at the Jira boundary

Zendesk AI handles the conversation, but the real resolution — a refund, an account change, an order update — happens in systems it doesn't own.

Three ways to close it

Only one is governed

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

From support conversation to Jira issue, governed

A customer reports that a critical integration has been down for six hours. Zendesk AI classifies the issue as a P1 incident and determines that an engineering escalation is needed. Upware's on-prem bridge — already trained on your Jira workflows — creates a high-priority incident ticket, assigns it to the on-call infrastructure team, and links it back to the originating Zendesk ticket, all without a single API key exposed or a human stepping in. Every field write is attributed to the Zendesk AI agent under the policy your IT team defined, satisfying the SOX change-management record before anyone asks. The customer gets a real-time status comment in the support thread as the Jira issue transitions through each workflow state.

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

Jira is our system of record for SOX-relevant change management. How does Upware handle attribution and audit when an AI agent writes to it?
Every action Upware executes is recorded against the policy and identity under which it ran — not a shared service account. The audit trail captures who authorized the action, which agent initiated it, what was written, and when. For SOX-relevant Jira projects you can require a human-in-the-loop approval step before any write commits, enforced at the Upware governance layer rather than left to the LLM's discretion.
Our Jira instance is on-prem (Data Center). Does this still work?
Yes. Upware's on-prem bridge connects to Jira Data Center from inside your network using outbound-only connectivity — nothing inbound, no firewall exceptions. Upware learns the Jira workflows directly, so it can replay issue creation, transitions, and comment writes deterministically against your actual instance, not a cloud proxy.
Zendesk AI already has some native Jira integration. Why do we need Upware on top of that?
Native integrations cover a fixed set of happy-path actions and stop at the boundary of what Jira's public API exposes cleanly. Upware covers the rest: workflow transitions that require custom field logic, legacy Jira configurations that predate the REST API, and cross-system actions where a Jira write has to stay in sync with a status change in another system Zendesk AI doesn't touch. Governance — RBAC, policy enforcement, and the audit trail — is applied consistently across all of it.

Connect Zendesk AI to Jira

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

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