What is the difference between RPA and workflow agents
RPA uses a software robot to repeat a written rule by mimicking what a person does on a screen. A workflow agent pauses between named systems, hands an exception to a person, and writes the result back to the system you named. Whether the screen stays still, and who receives an exception, decides which one takes the step.
On this page
Name the system, the field, and the owner
Write four facts for each small step: which system, which record it reads, which field it writes, and who receives the step when it cannot finish. Leave any of the four blank and you cannot yet tell whether the step is a robot clicking a screen or a pause for a person.
How a flow meets systems you already run is covered under Workflow agents. Autocomplete and a coding agent inside an editor are a separate question, covered in What is the difference between an AI coding agent and autocomplete.
What the RPA pages actually describe
The UiPath page on RPA describes robotic process automation as software robots that handle repetitive, rule-based work, such as entering data, moving files, or processing transactions, by mimicking how a person acts on screens and systems. The page has no publication date. This note does not repeat the page’s claims about scale or benefits.
The Microsoft introduction to desktop flows says desktop flows broaden the existing RPA capabilities in Power Automate and automate repetitive desktop processes, with drag-and-drop actions or by recording a flow to run later. Interaction can use application UI elements, images, or coordinates, including legacy applications, terminal emulators, Excel, and folders. The page has no publication date. This note does not repeat the page’s claim that automating is quicker and easier. The two pages describe how each product explains screen automation. This note does not rank them.
Where a workflow agent pauses and writes back
A workflow agent is for a step that can stop. When an amount sits outside a written band, an attachment is missing, or the rule says a named person must approve, the agent pauses, hands that record to the owner you named, and records who received it and when it came back. The owner’s decision is written back to a named field on the original system, such as an order status, a work-order result, or an application outcome.
A chat line that says the work is done is not a write-back. The next person who opens the record has to see the outcome and the owner inside the original system. When that system already accepts a write to the field, write the field directly. Clicking the same field through the screen adds a layer that can move. How an interface and a connection differ is covered in What is MCP, and how does it differ from an API.
Match the step to the control
When the rule is already written, the screen stays still for a stretch of time, and the step has no exception that needs a person’s judgement, the step matches the screen robot those pages describe. Before you record or drag actions, write which screen the robot reads, where it stops on failure, and who is told.
When the steps must wait for a person, must change one record in a named system, or the rule itself keeps an exception that must be escalated, give that step to a workflow agent that pauses and writes back. The agent follows the written steps. A next step that skips the owner is outside the scope.
What each side gives up
A screen robot follows buttons, labels, and coordinates. The Microsoft page lists coordinates as one way to interact. A flow that depends on a coordinate needs a person to check that the step still hits the same place after the window layout changes. When a button is renamed or moved, stop that step, update the recording or the selector, and only then turn it back on.
A workflow agent trades pace for the pause. With the pause written down, an exception has someone to sign it. With the pause left unwritten, an uncertain step is treated as safe to continue. A high-volume screen task with a closed rule and no exception, once placed in an agent, adds a judgement to every record that the rule did not ask for.
When to leave RPA off
When the screen changes often, the step needs judgement, or the system can already write the result into a named field, leave that step off a robot that clicks the screen. Write the field, or name the owner of the exception, first.
Leave the robot off when nobody reviews the failure list on a fixed cycle. A robot stopped on a screen that has changed, with nobody to take it, only lengthens the queue. This note does not state hours saved or a return.
When to leave the agent off
When the whole stretch is a closed rule on a stable screen, with no exception for a person and no second system to write back to, the agent has no pause to run. Leave that step with the screen robot.
Leave the agent off when you cannot name the system and the field that receive the write-back. The agent has nowhere to put the outcome. Name the system, the field, and the owner first, and only then let it pause and write back. How that scope meets systems you already run is covered under Workflow agents.