WorkflowOps

Production tooling for workflows, not just a canvas

Name: ZyncoAI
Price: 99 AUD

A workflow that runs once in a demo and a workflow a team depends on every day need different tooling. WorkflowOps is built for the second case: versioned changes instead of silent edits, staged rollout instead of pushing straight to production, and monitoring that actually tells you when something's degrading instead of failing quietly until someone notices a missed booking or a stuck order.

Builder

Workflows are assembled from steps that read and write through the shared connector registry, not hand-rolled integration code per workflow. A step that needs judgment instead of a fixed rule can hand off to an AgentOps agent mid-run.

Browse the connector registry

Versioning, staging, approvals, rollback

A workflow change is a new version, not an in-place edit. Changes can go through a staging run before they're live, and a bad deploy is a rollback to the previous version — not a scramble to figure out what changed.

Monitoring, alerts, run history

Every run is recorded — what triggered it, what each step did, how long it took, whether it needed a retry. Analytics roll that up into volume, reliability, and time-savings numbers instead of leaving it as a raw log nobody reads.

See Automation Analytics

Where a workflow needs more than fixed steps

Some steps in a real process aren't a fixed rule — routing a lead based on what they actually said, deciding whether a failed step should retry or escalate. Those steps can call into AgentOps, run alongside the deterministic steps, and land in the same run history — see the full platform overview for how the pieces connect.