Rippling splits AI diagnosis from deterministic authorization in its IT Helpdesk agent

andreisavu · x · 2026-10-10

Rippling's engineering blog explains the core design of its Helpdesk IT agent: separate AI interpretation from authorization. The agent diagnoses ambiguous requests like "my laptop is slow" by inspecting device age, memory patterns, and running apps, but fulfillment actions (approving and shipping a replacement) run through deterministic, IT-defined policies rather than model decisions—avoiding dangerous writes with no durable policy to point to. The post contrasts this with traditional workflow tools' rigid forms and with end-to-end agents' lack of accountability, and covers learning from recurring device issues.

Original post →

More from coding & agent

coding & agent channel →