AI Agents & Automation

Workflow Automation

Where a process crosses several systems and teams, and most of the elapsed time is spent waiting at handoffs rather than doing the work.

Automating a workflow means automating the handoffs as well as the steps, because that is where manual effort actually accumulates. A process where each step is fast but each transition requires someone to notice and act is slow overall.

The design question is which transitions should remain manual. Some handoffs exist because a person needs to decide, and automating those removes a control rather than a delay.

What the work includes

  • End-to-end automation across systems rather than within one
  • Explicit decisions about which handoffs stay manual and why
  • Error and exception handling, including what happens when a step fails
  • Observability over runs so failures surface before someone complains
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// Common Questions

Questions
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Common questions about Workflow Automation.

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Those crossing several systems and teams, where most of the elapsed time is spent waiting at handoffs rather than doing the work. Compressing the waiting usually produces a larger improvement than accelerating any individual step.

Rule-based automation handles paths that were specified in advance and stops at anything else. Agentic workflows can interpret unstructured input and handle variation, which matters because the exceptions are usually where the human time actually goes.

It routes to a person rather than guessing. Designing the escalation path is part of the build, because a workflow that fails silently on unusual cases erodes trust faster than one that asks for help.

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