The AI's role
The worker, not the sidebar
Usually: a copilot sits beside software built for humans, drafting suggestions someone still has to carry through the process.
Here: the AI pulls the work item, gathers context, fills the form and routes it — through a 170+ tool interface that reaches the whole platform. A person's job is to approve, not to retype.
Governance
An approval gate you can't route around
Usually: approvals are something you configure per workflow — which means they're also something you can forget to configure.
Here: it's enforced by the platform. An agent physically cannot advance work out of a queue marked for human approval; the same gate applies whether the request came from the UI, the API, or an autonomous agent. Every action is logged against the identity that took it.
Where secrets live
Credentials never reach our cloud
Usually: a cloud platform must store your connected credentials in order to act on your behalf. That's not a flaw — it's what centralized execution requires.
Here: anything touching your systems runs on an agent on your own hardware. The cloud coordinates the work and never holds a plaintext secret. It's the posture regulated and PHI work actually needs.
Your data
Built to be integrated, not to hold you
Usually: proprietary connector catalogs, and getting your data out is a support ticket.
Here: MCP, OAuth, signed webhooks, OpenAPI and SQL — no proprietary connectors. Workflows and reports export as lineage-stamped JSON, reports run server-side to a URL your BI tool can refresh, and the API contract is machine-readable. Leaving is a decision, not a project.