Most workflow automation handles the path you planned for. It struggles with everything else.
When an input doesn't match the expected format, when a document falls into a different category, when the data points toward a different next step - a rigid workflow either fails, routes everything the same way, or requires a human to intervene. The AI Decision Node is built for exactly those moments.
A branching decision, made by the agent
At any step in a workflow, builders can insert a Decision Node. The agent evaluates the context at that point - the input it received, the output of prior steps, whatever signals are available - and routes the workflow down the appropriate branch. The logic is described in plain language. The agent applies judgment; the workflow continues.
Classification without configuration overhead
A common use case is input classification: an incoming document, request, or message needs to be routed differently depending on what it is. Instead of building separate triggers or maintaining a rule table, a Decision Node handles the classification in a single step.Rigid workflows break on the edges. The AI Decision Node turns those edges into handled cases - without custom engineering, and without adding a human to every exception.
