Let any AI agent take governed actions in Slack

With an unharnessed agent, accountability is genuinely murky — the action lands in the target system under whatever identity the agent was provisioned with, which is often a shared service account. Upware resolves this by binding each action to the user or role that initiated the request in Slack, enforcing RBAC before execution, and writing the outcome to an audit trail in the target system. The action is traceable end-to-end, from the Slack message to the system-of-record entry.

Slack's permissions govern what the agent can read or post inside Slack itself — they say nothing about what it's allowed to do in the CRM, ERP, or ITSM system it calls next. An agent with a broad Slack OAuth scope can read sensitive channels, but the real exposure is downstream: it may write to a system with no policy check at all. Upware's governed execution layer sits between the Slack trigger and the target system, enforcing policy and identity at the point of action, not just at the point of message access.

Yes. Upware learns integrations by recording the actual desktop workflow — UI events, web requests, and screen state — so it can encapsulate systems that have no API at all. When a Slack message triggers an action in a legacy system, Upware replays that interaction deterministically through its on-prem bridge rather than relying on an API that doesn't exist. The result is a governed AI skill that runs exactly as recorded, with full audit coverage, regardless of how the underlying system exposes itself.