Zendesk AI closes the ticket; Upware carries the action into Stripe — refunds issued, adjustments posted, and every money movement bounded by policy and logged in full.
Zendesk AI handles the conversation, but the real resolution — a refund, an account change, an order update — happens in systems it doesn't own.
A customer flags a duplicate charge on a subscription renewal. Zendesk AI reads the conversation, confirms the overcharge, and determines a full refund is warranted — $149, within the agent's authorized limit. Upware picks up the action: it replays the governed Stripe skill, issues the refund via the payment record, and posts the matching entry to the finance system, all without a human touching the keyboard. The agent's policy ceiling was $500; because this falls below it, no dual-control approval is triggered. By the time the support rep glances at the ticket, the refund is processed, the audit trail is written, and the customer has already received the confirmation email.
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.
See a governed action go from recorded workflow to live in days.
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