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Workflows

A workflow is an automated, multi-step process — the workhorse of Operational AI. Where an agent is a worker, a workflow is a defined process that runs the same way every time, with the checkpoints your organization requires built in.

Every workflow is made of a few parts:

  • Trigger — what starts it. A schedule, an event in a connected system, or a person kicking it off.
  • Actions — the steps it performs, using tools and connected data.
  • Decision logic — branches that let the workflow respond to what it finds.
  • Approvals — points where a human reviews and signs off before the workflow continues.
  • Monitoring — visibility into what’s running, what’s finished, and what needs attention.

Every enterprise workflow has an owner — a person accountable for it. Ownership is what keeps a growing library of automations from becoming a mystery: there’s always someone who knows why a workflow exists and can change it.

The reason workflows are safe to run at enterprise scale is that approval steps are part of the design, not an afterthought. A workflow can do ten things automatically and still stop at the eleventh — the one that spends money, sends something external, or touches sensitive data — and wait for a human. See Approval workflows.

Typical starting points include onboarding and offboarding steps, routing and triage of incoming requests, report generation, data syncs between systems, and multi-step approvals. See worked examples in Common enterprise workflows.