Workflows are assembled from steps against a shared connector registry, so a new workflow reuses existing integrations instead of one-off code. Start from a template or build from scratch.
The execution engine handles retries, backoff, and rollback the same way for every workflow regardless of how it was built. Runs are versioned, so a bad change is a revert, not an incident.
Steps that need judgment instead of a fixed rule — routing, triage, summarization — hand off to an agent through AgentOps, with its own memory and constraints, then return to deterministic execution for the next step.
Every run, retry, and tool call is logged. Automation Analytics rolls that into volume, reliability, and time-savings numbers instead of leaving it as a raw log nobody checks.
These aren't four separate products bolted together — a single workflow moves through all four as it runs. See the full platform architecture, or how AgentOps and WorkflowOps split the work between fixed steps and agent decisions.