Why WorkflowHub

Most tools bolt AI on. We built around it.

Most workflow tools were designed for people to operate, with an AI copilot added later. WorkflowHub starts from the other end: the AI does the work — reading, drafting, routing — and a human approval gate plus a full audit trail wrap anything that leaves the building. That's the difference between watching an AI draft and handing it real work.

What's actually different

Four decisions we made differently

Not a scorecard against other vendors — the specific architectural choices that change what you can safely hand an AI. Judge them against whatever you run today.

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.

Evaluating against a specific tool you already own? Tell us which one — we'll give you a straight answer about where we'd win and where we wouldn't, rather than a table that grades our competitors for you.

One number here is real, and it is the only one worth printing: the count of your credentials held in plaintext by our cloud is zero. Not encrypted at rest in our database — not there at all. They sit in your machine's keychain, and the agent that uses them runs beside them.

Governance by construction

The Golden Rule flow

Everything the AI can do without a side-effect, it does. The moment an action reaches outside your walls, a human decides.

Golden Rule flow diagram AI drafts, enriches and routes a work item, then a human approval gate must pass before the external action fires. AI — AUTONOMOUS Draft read & compose Enrich gather context Route rules & next queue HUMAN approves Action fires send · pay · post the only external step
No side-effect crosses the boundary without a recorded human approval. Every decision is logged for audit.

Ready to see it on your own queues?

Keep your secrets local and watch an AI assemble and run a real process in minutes.