When we say "orchestrated steps," we mean something specific: a sequence of discrete operations, each with defined inputs, logic, and outputs, composed into a workflow that runs the same way every time.
Why sequence matters
Expert judgment isn't random. When a skilled person evaluates something, they follow a pattern — even if they'd struggle to describe it. They look at certain signals first. They use early answers to shape later questions. They know when to stop and when to dig deeper.
Orchestrating steps means making that sequence explicit and repeatable.
What a step looks like
Each step has three parts:
Inputs — what does this step need to run? Documents, fields, outputs from a previous step, or context provided by the user.
Logic — what does this step do with those inputs? This is where the expertise lives: the rules, the heuristics, the edge cases.
Output — what does this step produce? A classification, a structured object, a recommendation, a flag.
How steps compose
Steps pass outputs to each other. An early step might classify a document type; a later step uses that classification to decide which analysis to run. The composition is the workflow.
What this enables
Because each step is discrete, you can inspect any point in the process. You can see what went in, what came out, and why. That transparency is what makes AI-generated outputs trustworthy enough to act on.